First iteration of minor corrections

master
phga 4 years ago
parent 9ee21ddc5d
commit a2aaad9924

@ -9,7 +9,7 @@ Computer arbeiten. Einige Benutzer:innen empfinden jedoch irgendwann Unbehagen
oder sogar Schmerzen bei der Verwendung einer Tastatur, da die Finger viele oder sogar Schmerzen bei der Verwendung einer Tastatur, da die Finger viele
kleine und sich wiederholende Bewegungen ausführen müssen, um die Tasten zu kleine und sich wiederholende Bewegungen ausführen müssen, um die Tasten zu
bedienen. Daher versuchen wir in dieser Bachelorarbeit, ein alternatives, nicht bedienen. Daher versuchen wir in dieser Bachelorarbeit, ein alternatives, nicht
uniformes Tastaturdesign zu evaluieren, bei dem jede einzelne mechanische Taste uniformes Tas\-taturdesign zu evaluieren, bei dem jede einzelne mechanische Taste
mit einer Feder ausgestattet ist, die einen Widerstand aufweist, der dem mit einer Feder ausgestattet ist, die einen Widerstand aufweist, der dem
spezifischen Finger entspricht, der sie normalerweise bedient. Die Idee hinter spezifischen Finger entspricht, der sie normalerweise bedient. Die Idee hinter
diesem angepassten Design ist, insbesondere die schwächeren Finger zu entlasten diesem angepassten Design ist, insbesondere die schwächeren Finger zu entlasten
@ -19,13 +19,13 @@ Finger angepassten Betätigungskraft einen positiven Einfluss auf die Effizienz
und die allgemeine Zufriedenheit während der Benutzung hat. Darum haben wir die und die allgemeine Zufriedenheit während der Benutzung hat. Darum haben wir die
aktuelle Verfügbarkeit von Widerständen für mechanische Tastenschalter evaluiert aktuelle Verfügbarkeit von Widerständen für mechanische Tastenschalter evaluiert
und eine erste telefonische Befragung (n = 17) durchgeführt, um Präferenzen, und eine erste telefonische Befragung (n = 17) durchgeführt, um Präferenzen,
Anwendungsfälle und bisherige Erfahrungen mit Tastaturen zu ermitteln. Darüber Anwendungsfälle und bisherige Erfahrungen mit Tas\-taturen zu ermitteln. Darüber
hinaus führten wir ein weiteres Experiment durch, bei dem wir die maximal hinaus führten wir ein weiteres Experiment durch, bei dem wir die maximal
ausübbare Kraft für jeden Finger in verschiedenen, mit dem Drücken einer Taste ausübbare Kraft für jeden Finger in verschiedenen, mit dem Drücken einer Taste
verbundenen Positionen maßen und im Anschluss als Grundlage für unser verbundenen Positionen maßen und im Anschluss als Grundlage für unser
angepasstes Tastaturdesign verwendeten. Schließlich wurden in einer dreiwöchigen angepasstes Tastaturdesign verwendeten. Schließlich wurden in einer dreiwöchigen
Laborstudie mit 24 Teilnehmern das angepasste Tastaturdesign und drei Laborstudie mit 24 Teilnehmern das angepasste Tastaturdesign und drei
herkömmliche Tastaturen mit 35 g, 50 g und 80 g Betätigungskraft in Bezug auf herkömmliche Tastaturen mit 35\,g, 50\,g und 80\,g Betätigungskraft in Bezug auf
Leistung und allgemeine Zufriedenheit miteinander verglichen. Die statistische Leistung und allgemeine Zufriedenheit miteinander verglichen. Die statistische
Auswertung ergab, dass vor allem die Fehlerquote durch höhere Betätigungskräfte Auswertung ergab, dass vor allem die Fehlerquote durch höhere Betätigungskräfte
positiv beeinflusst wird und dass Tastaturen mit weder zu hohem noch zu geringem positiv beeinflusst wird und dass Tastaturen mit weder zu hohem noch zu geringem
@ -39,4 +39,4 @@ das angepasste Design aufgrund der gleich guten Ergebnisse immer noch eine
brauchbare Alternative ist und mit weiteren Verbesserungen, z. B. einer brauchbare Alternative ist und mit weiteren Verbesserungen, z. B. einer
vollständigen Personalisierung des Federwiderstands für jede Taste, vollständigen Personalisierung des Federwiderstands für jede Taste,
möglicherweise das Erlebnis bei der Verwendung und die Leistung für möglicherweise das Erlebnis bei der Verwendung und die Leistung für
anspruchsvolle Benutzer:innen verbessern könnte. anspruchsvolle Benutzer:innen verbessert werden könnte.

@ -20,12 +20,12 @@ with keyboards. Further, we ran another preliminary experiment, where we
measured the maximum applicable force for each finger in different positions measured the maximum applicable force for each finger in different positions
related to keyboarding as a basis for our adjusted keyboard design. Lastly, related to keyboarding as a basis for our adjusted keyboard design. Lastly,
during a three week laboratory user study with twenty-four participants, the during a three week laboratory user study with twenty-four participants, the
adjusted keyboard design and three traditional keyboards with 35 g, 50 g and 80 adjusted keyboard design and three traditional keyboards with 35\,g, 50\,g and 80
g actuation force where compared to each other in terms of performance and user g actuation force were compared to each other in terms of performance and user
satisfaction. The statistical analysis revealed, that especially error rates are satisfaction. The statistical analysis revealed, that especially error rates are
positively influenced by higher actuation forces and that keyboards with neither positively influenced by higher actuation forces and that keyboards with neither
to heavy nor to light resistance generally perform the best in terms of typing too heavy nor to light resistance generally perform the best in terms of typing
speed. Further, the adjusted keyboard and the 50 g keyboard performed almost speed. Further, the adjusted keyboard and the 50\,g keyboard performed almost
identically in all tests and therefore we could not derive any significant identically in all tests and therefore we could not derive any significant
improvements in performance or satisfaction over traditional designs that improvements in performance or satisfaction over traditional designs that
utilize keyswitches with moderate resistance. However, we concluded, that with utilize keyswitches with moderate resistance. However, we concluded, that with

@ -28,7 +28,7 @@
\pagebreak \pagebreak
\subsection{UX-Curves for All Participants and All Groups} \subsection{\Gls{UX Curve}s for All Participants and All Groups}
\label{app:uxc} \label{app:uxc}
\begin{figure}[H] \begin{figure}[H]
@ -43,3 +43,11 @@
\centering \centering
\includegraphics[width=1.0\textwidth]{images/collage} \includegraphics[width=1.0\textwidth]{images/collage}
\end{figure} \end{figure}
\subsection{The Four Test Keyboards}
\label{app:equipment}
\begin{figure}[H]
\centering
\includegraphics[width=1.0\textwidth]{images/keyboards}
\end{figure}

@ -1,212 +0,0 @@
% Chapter 0 - Proposal
% Section 1 - Motivation, problem statement and thesis objectives
\section{Bachelor Thesis Proposal - Philip Gaber}
{\huge Impact of adjusted, per key, actuation force on efficiency and satisfaction while using mechanical keyboards}
\subsection{Motivation}
In recent years, computers are used to some extend in almost every industry in
Europe \cite{eurostat_ent_w_comp} and China \cite{iresearch_ent_w_comp}. This
leads to the conclusion, that also other countries must have a high usage of
computers in corporations. Furthermore, according to a statistic published by
\citeauthor{itu_hh_w_comp} in 2019, nearly half of the worldwide households have
access to at least one computer \cite{itu_hh_w_comp}. One of the most used
devices for data input while operating a computer is the keyboard
\parencite[22]{handbook_chi}. Therefore, people who use a computer, either at
home or to fulfill certain tasks at work, are also likely to use a keyboard. An
important part of a keyboard is the keyswitch also called keyboard key or
key. Those keyswitches use, depending on the manufacturer or keyboard type,
different mechanisms to actuate a keypress. More commonly used mechanism to date
are scissor switches, mostly used in laptop keyboards, dome/membrane switches,
often used in low- to mid-priced keyboards, and mechanical switches which are
the main switch type for high-priced and gaming keyboards
\cite{ergopedia_keyswitch}. Depending on the mechanism and type of key used, it
is possible that different force has to be applied to the key to activate
it. Normally, the force required to activate a key is identical for each key
across the keyboard. However, previous research has shown, that there is a
disparity in force generated by different fingers
\cite{bretz_finger_force}. This raises the question, why there are no keyboards
for personal or work related use cases with adjusted actuation forces per finger
or even customizable keyboards, where an individual can select the actuation
force for each keyswitch individually.
\subsection{Proposed Objective, Research Question and Hypothesis}
% This thesis is intended to provide an overview of already conducted research in
% the domain of keyboards, especially in connection with actuation force and the
% impact of different keyswitches on keyboard users.
% Because there is no previous research in the particular field of per finger/key
% actuation force for (mechanical) keyboards and the impact of such customization
% on efficiency and comfort, this thesis is also intended to research if this is a
% viable option in comparison to the classic keyboard with uniform actuation
% force. Therefore the author proposes to answer the question:
This thesis is intended to research if a keyboard with zones of keys, which have
adjusted actuation force depending on the assigned finger for that zone and the
position on the keyboard, is a viable option compared to the standard keyboard
with uniform actuation force across all keyswitches.
\begin{tabular}{p{0.3cm} p{0.5cm} p{13cm} p{0.5cm}}
& \textbf{\large RQ} & {\Large Does an adjusted actuation force per key have a positive impact on efficiency and overall satisfaction while using a mechanical keyboard?} & \\
\end{tabular}
\vspace{1em}
% TODO: Dissatisfied statt comfort da hohe error rate und dadurch frustriert
% TODO: Bei hypothesen noch error rate bei geschwindigkeit mit einbeziehen
% ASK: Doch noch comfort mit einbeziehen?
\begin{longtable}{p{0.3cm} p{0.5cm} p{13cm} p{0.5cm}}
& \textbf{H1} & Lower key actuation force improves typing speed over higher key actuation force (efficiency - speed). & \\
& & & \\
& \textbf{H2} & Higher key actuation force decreases typing errors compared to lower key actuation force (efficiency - error rate). & \\
& & & \\
& \textbf{H3} & Keys with lower actuation force are perceived as more satisfactory to write with than keys with higher actuation force. & \\
& & & \\
& \textbf{H4} & Users perform better and feel more satisfied while using Keyboards with adjusted key actuation force than without the adjustment. & \\
\end{longtable}
\section{Proposed Method}
\subsection{Subjects}
It is planned to recruit 20 participants in total. Main target group to recruit
participants for the research study from are personal contacts and fellow
students. Participants are required to type with more than just one finger per
hand. Thus, touch typing is not a mandatory but helpful skill to
participate. The age distribution for the subjects is estimated to be between 18
and 56 years. The average typing speed should be known prior to the main
experiment. Therefore, a typing speed test should be performed on the subject's
own keyboard in beginning of the experiment. This typing test has to be
performed within the standardized test environment consisting of an adjustable
chair, desk, monitor and the typing test software used within the main
experiment. Also, all subjects have to give their written consent to
participate in the study.
\subsection{Study design}
Participants must complete several typing tests using four different keyboards.
The experiment should consist of a experimental group and a control group. The
control group will perform all typing tests with the same keyboard. The text
used for the typing test should be easily understandable. Therefore, the text
has to be evaluated with the help of a \gls{FRE} \cite{flesch_fre}
adjusted for German language \cite{immel_fre}.
\begin{equation}\label{fre_german}
FRE_{deutsch} = 180 - \underbrace{ASL}_{\mathclap{\text{Average Sentence Length}}} - (58,5 * \overbrace{ASW}^{\mathclap{\text{Average Syllables per Word}}})
\end{equation}
The adjusted formula (\ref{fre_german}) to estimate the understandability of the
texts used in this experiment usually yields a number in the range of
\([0;100]\) called the \gls{FRE}. Higher \gls{FRE}s refer to better
understandability and thus the texts used in this experiment all have to fulfill
the requirement of a \gls{FRE} \(> 70\), which represents a fairly easy text
\cite{immel_fre} and \cite{flesch_fre}.
One typing test will consist of several smaller, randomly chosen, texts
snippets. The length of the snippets has to be between 100 and 400 characters
and a snippet has to meet the \gls{FRE} requirement. The snippets are generated by
volunteers via the web interface of the platform used in this experiment which
can be seen in appendix \ref{app:gott}.
% ASK: Should there be a control group at all, if so should they use their own keyboard or always the same random keyboard while they think they are testing different keyswitches?
After each typing test, the participant has to fill out an adjusted CEN ISO/TS
9241-411:2014 keyboard comfort questionnaire \cite{iso9241-411}. One additional
question was added to this questionnaire: ``How satisfied have you been with
this keyboard?'' The answer for this question can be selected with the help of a
\gls{VAS} ranging from 0 to 100 \cite{lewis_vas}.
\textbf{Planned experiment procedure: (Total time requirement: 120 min)}
\begin{enumerate}
\item Pre-Test questionnaire to gather demographic and other relevant
information e.g., touch typist, average \gls{KB} usage per day, predominantly
used keyboard type, previous medical conditions affecting the result of the
study e.g., \gls{RSI}, \gls{CTS}, etc. The full questionnaire can be observed
in the appendix \ref{app:gott}. (5 min)
\item Adjustment of the test environment (Chair height, monitor height, etc.) (2 min)
\item Prepare subject for \gls{EMG} measurements: Electrodes are placed on the
\gls{FDS}/\gls{FDP} and \gls{ED} of both forearms. The main function of the
\gls{FDS} and \gls{FDP} is the flexion of the medial four digits, while the
\gls{ED} mainly extends the medial four digits. Therefore, these muscles are
primarily involved in the finger movements required for typing on a keyboard
\cite{netter_anatomy}. (8 min)
\item Familiarization with the typing test and keyboard model used in the experiment. All participants use the same keyboard with 50g actuation force for this step. (5 min)
\item Initial typing test with own keyboard. (5 min) \\
Adjusted follow-up ISO keyboard comfort questionnaire. (2 min) \\
Pause with light stretching exercises. (3 min)
% SUBTOTAL: 30 min
\item \textbf{Main Test (H1-H4):} In this part the subject has to
take two, 5 minute, typing tests per keyboard, with a total of 4
keyboards (\gls{KB} A, \gls{KB} B, \gls{KB} C, \gls{KB} D). After each
typing test, the subject has to fill out the post typing test keyboard
comfort questionnaire. Keyboards A, B and C are equipped with one set of
keyswitches and therefore each of the keyboards provides one of the
following, uniform, actuation forces across all keyswitches: 35 \gls{g},
50 \gls{g} or 80 \gls{g}. These specific values are the results of a
self conducted comparison between the product lines of most major
keyswitch manufacturers. The results shown in appendix
\ref{app:keyswitch} yield, that the lowest broadly available force for
keyswitches is 35 \gls{g}, the highest broadly available force is 80
\gls{g}, and the most common offered force is 50 \gls{g}. Keyboard D is
equipped with different zones of keyswitches that use appropriate
actuation forces according to finger strength differences and key
position. The keyboards used in this experiment are visually identical,
ISO/IEC 9995-1 conform \cite{iso9995-1} and provide a \gls{QWERTZ}
layout to resemble the subjects day-to-day layout and keyboard format as
close as possible. All keyboards are equipped with linear mechanical
keyswitches from one manufacturer to minimize differences in haptic and
sound while typing. To mitigate order effects, the order of the
keyboards is counterbalanced with the help of the latin square method
and the text snippets for the individual tests are randomized
\cite{statist_counterbalancing}. \textbf{(total: 80 min)}
\begin{enumerate}
\item \textbf{\gls{KB} A, Part 1:} Typing test. (5min) \\
Adjusted follow-up ISO keyboard comfort questionnaire. (2 min) \\
Pause with light stretching exercises. (3 min)
\item \textbf{\gls{KB} A, Part 2:} Typing test. (5min) \\
Adjusted follow-up ISO keyboard comfort questionnaire. (2 min) \\
Pause with light stretching exercises. (3 min)
\item \textbf{\gls{KB} C, Part 1:} Typing test. (5min) \\
Adjusted follow-up ISO keyboard comfort questionnaire. (2 min) \\
Pause with light stretching exercises. (3 min)
\item \textbf{\gls{KB} C, Part 2:} Typing test. (5min) \\
Adjusted follow-up ISO keyboard comfort questionnaire. (2 min) \\
Pause with light stretching exercises. (3 min)
\item \textbf{\gls{KB} B, Part 1:} Typing test. (5min) \\
Adjusted follow-up ISO keyboard comfort questionnaire. (2 min) \\
Pause with light stretching exercises. (3 min)
\item \textbf{\gls{KB} B, Part 2:} Typing test. (5min) \\
Adjusted follow-up ISO keyboard comfort questionnaire. (2 min) \\
Pause with light stretching exercises. (3 min)
\item \textbf{\gls{KB} D, Part 1:} Typing test. (5min) \\
Adjusted follow-up ISO keyboard comfort questionnaire. (2 min) \\
Pause with light stretching exercises. (3 min)
\item \textbf{\gls{KB} D, Part 2:} Typing test. (5min) \\
Adjusted follow-up ISO keyboard comfort questionnaire. (2 min) \\
Pause with light stretching exercises. (3 min)
\end{enumerate}
\item Post-Test semi-structured interview: The participant has to draw three
different UX curves \cite{kujala_ux_curve} to evaluate how fatigue,
performance and overall usability of the individual keyboards were perceived
during the experiment. While drawing the UX curve, participants should
describe their thought process. To reduce errors in the later evaluation of
the UX curves, the entire interview is recorded. (10 min)
\end{enumerate}
The \gls{EMG} data for all muscles is captured using the Flexvolt Chrome app and Flexvolt 8-Channel
biosensor device in combination with TIGA-MED ECD-Electrodes. The captured data is then processed and
plotted using Python. Hardware and plots can be observed in Figure \ref{fig:emg_setup}.
\begin{figure}[h]
\centering
\includegraphics[width=1.0\textwidth]{images/emg_setup.jpg}
\caption{Flexvolt 8-Channel Biosensor and example plots of \gls{EMG} data}
\label{fig:emg_setup}
\end{figure}
This test scenario is inspired by the tests conducted in \cite{kim_typingforces}.

@ -29,11 +29,11 @@
In recent decades, computers and other electronic devices have become an In recent decades, computers and other electronic devices have become an
indispensable part of everyday life. Computers are used in almost every industry indispensable part of everyday life. Computers are used in almost every industry
\cite{iresearch_ent_w_comp, eurostat_ent_w_comp} and 84\% of European households \cite{iresearch_ent_w_comp, eurostat_ent_w_comp} and 84\,\% of European
as well as nearly half of the worldwide households have access to at least one households as well as nearly half of the worldwide households have access to at
computer \cite{eurostat_hous_w_comp, itu_hh_w_comp}. Even 153 years after the least one computer \cite{eurostat_hous_w_comp, itu_hh_w_comp}. Even 153 years
first typewriter was patented \cite{noyes_qwerty} people still mostly use after the first typewriter was patented \cite{noyes_qwerty} people still mostly
identical looking keyboards as their main way to input data into a computer use identical looking keyboards as their main way to input data into a computer
\parencite[22]{handbook_chi} \& \cite{broel_dektop_or_smartphone}. A potential \parencite[22]{handbook_chi} \& \cite{broel_dektop_or_smartphone}. A potential
problem while interacting with a computer through the usage of a keyboard are problem while interacting with a computer through the usage of a keyboard are
rapid movements of the fingers over a prolonged time, which can cause discomfort rapid movements of the fingers over a prolonged time, which can cause discomfort
@ -42,29 +42,29 @@ and increase the risk for \gls{WRUED} \cite{pascarelli_wrued,
is the force required to generate a keypress, is directly related to the actual is the force required to generate a keypress, is directly related to the actual
force an individual generates to press a specific key force an individual generates to press a specific key
\cite{gerard_keyswitch}. Also, the individual fingers are not capable of \cite{gerard_keyswitch}. Also, the individual fingers are not capable of
exerting identical force and therefore fatigue must be higher for weaker fingers exerting identical force, which could lead to higher fatigue in weaker fingers
\cite{bretz_finger, martin_force, baker_kinematics, dickson_finger}. There are \cite{bretz_finger, martin_force, baker_kinematics, dickson_finger}. There are
various designs for alternative keyboards by e.g., various designs for alternative keyboards by e.g.,
Maltron\footnote{\url{https://www.maltron.com/store/c47/Dual_Hand_Keyboards.html}}, Maltron\footnote{\url{https://www.maltron.com/store/c47/Dual_Hand_Keyboards.html}},
Ergodox\footnote{\url{https://www.ergodox.io/}}, Kenesis Ergodox\footnote{\url{https://www.ergodox.io/}}, Kenesis
\footnote{\url{https://kinesis-ergo.com/keyboards/advantage2-keyboard/}}, \footnote{\url{https://kinesis-ergo.com/keyboards/advantage2-keyboard/}},
etc. which, because of the often unusual layouts and extra keys for the thumbs, etc. Due to the oftentimes unusual layouts and extra keys for the thumbs, all
all require the typist to adjust to a completely new way of typing and therefore these keyboards require the typist to adjust to a completely new way of typing
could reduce productivity during this adjustment phase. Additionally, a study by and therefore could reduce productivity during this adjustment
Baker et al. (n = 77) revealed, that even after several months of using a phase. Additionally, a study by Baker et al. (n = 77) revealed, that even after
keyboard with an alternative design, in terms of usability, participants still several months of using a keyboard with an alternative design, in terms of
preferred the traditional design because of its superb usability usability, participants still preferred the traditional design because of its
\cite{baker_ergo2}. With these insights, the uniformity of actuation force superb usability \cite{baker_ergo2}. With these insights, the uniformity of
across conventional keyboards may be a potential characteristic that could be actuation force across conventional keyboards may be a potential characteristic
improved on, to reduce the strain on weaker fingers and thus reduce fatigue and that could be improved on, to reduce the strain on weaker fingers and thus
increase comfort. Therefore, a keyboard with, per key, adjusted actuation force, reduce fatigue and increase comfort. Therefore, a keyboard with, per key,
depending on the finger usually operating the key, might be a feasible solution adjusted actuation force, depending on the finger usually operating the key,
without the requirement for typists to invest in higher priced alternative might be a feasible solution without the requirement for typists to invest in
keyboards, which also require additional familiarization. To become a successful higher priced alternative keyboards, which also require additional
alternative, the adjusted keyboard design has to perform equally good or even familiarization. To become a successful alternative, the adjusted keyboard
better than existing conventional keyboard designs, while also enhancing the user design has to perform equally good or even better than existing conventional
experience during usage. These requirements led to the research question of keyboard designs, while also enhancing the user experience during usage. These
this thesis: requirements led to the following research question of this thesis:
\vspace{1em} \vspace{1em}
\begin{tabular}{p{0.3cm} p{0.5cm} p{13cm} p{0.5cm}} \begin{tabular}{p{0.3cm} p{0.5cm} p{13cm} p{0.5cm}}

@ -17,12 +17,12 @@ results of previous research.
\label{sec:wrued} \label{sec:wrued}
\Gls{WRUED} is a term to describe a group of medical conditions related to \Gls{WRUED} is a term to describe a group of medical conditions related to
muscles, tendons and nerves in shoulder, arm, elbow, forearm or hand, such as muscles, tendons and nerves in shoulder, arm, elbow, forearm or hand, such as
e.g., \gls{CTS}, \gls{RSI}, tendonitis, tension neck syndrome, etc. Symptoms of \gls{CTS}, \gls{RSI}, Tendinitis, \gls{TNS}, etc. Symptoms of
\gls{WRUED} are aching, tiredness and fatigue of affected regions that either \gls{WRUED} are aching, tiredness and fatigue of affected regions that either
occur while working or even extend to phases of relaxation. A common way to occur while working or even extend to phases of relaxation. A common way to
treat \gls{WRUED} is to avoid the potentially harmful activities that cause treat \gls{WRUED} is to avoid the potentially harmful activities that cause
discomfort in affected areas \cite{ccfohas_wrued}. Pascarelli and Hsu reported, discomfort in affected areas \cite{ccfohas_wrued}. Pascarelli and Hsu reported,
that out of 485 patients with \gls{WRUED} 17\% were computer users that out of 485 patients with \gls{WRUED} 17\,\% were computer users
\cite{pascarelli_wrued}. Since computers have become an essential part of many \cite{pascarelli_wrued}. Since computers have become an essential part of many
jobs in almost any sector of employment, restrictions of computer related jobs in almost any sector of employment, restrictions of computer related
activities would result in either reduced productivity or the complete inability activities would result in either reduced productivity or the complete inability
@ -125,9 +125,9 @@ separating the two plates which closes the electrical circuit and sends a
keypress to the computer. After the key is released, the spring pushes the stem keypress to the computer. After the key is released, the spring pushes the stem
back to its original position \cite{bassett_keycap, peery_3d_keyswitch, back to its original position \cite{bassett_keycap, peery_3d_keyswitch,
ergopedia_keyswitch, chen_mech_switch}. Usually, mechanical keyswitches are ergopedia_keyswitch, chen_mech_switch}. Usually, mechanical keyswitches are
directly soldered onto the \gls{PCB} of the keyboard but there are also directly soldered onto the \gls{PCB} of the keyboard. However, there are also
keyboards where the \gls{PCB} features special sockets where the keyswitches can keyboards with \gls{PCB}s that feature special sockets where the keyswitches can
be hot-swapped without soldering at all \cite{gmmk_hot_swap}. It is also be \gls{swapped} without soldering at all \cite{gmmk_hot_swap}. It is also
possible to equip an already existing \gls{PCB} with sockets to make it possible to equip an already existing \gls{PCB} with sockets to make it
hot-swappable \cite{te_connect}. hot-swappable \cite{te_connect}.
@ -147,27 +147,27 @@ primarily define if and how feedback for a keypress is realised:
\item \textbf{Tactile Switches} utilize a small bump on the stem to slightly \item \textbf{Tactile Switches} utilize a small bump on the stem to slightly
increase and then instantly collapse the force required immediately before the increase and then instantly collapse the force required immediately before the
actual actuation happens \cite{cherry_mx_brown}. This provides the typist with actual actuation happens \cite{cherry_mx_brown}. This provides the typist with
a short noticeable haptic feedback and which should encourage a premature a short noticeable haptic feedback, which should encourage a premature
release of the key. An early study by Brunner and Richardson suggested, that release of the key. An early study by Brunner and Richardson suggested, that
this feedback leads to faster typing speeds and a lower error rate in both this feedback leads to faster typing speed and a lower error rate in both
experienced and casual typists (n=24) \cite{brunner_keyswitch}. Contrary, a experienced and casual typists (n=24) \cite{brunner_keyswitch}. Contrary, a
study by Akagi yielded no significant differences in terms of speed and error study by Akagi yielded no significant differences in terms of speed nor error
rate between tactile and linear keyswitches and links the variation found in rate between tactile and linear keyswitches and links the variation found in
error rates to differences in actuation force (n=24) error rates to differences in actuation force (n=24)
\cite{akagi_keyswitch}. Tactile feedback could still assist the typist to \cite{akagi_keyswitch}. Tactile feedback could still assist the typist to
prevent \gls{bottoming}. prevent \gls{bottoming}.
\item \textbf{Tactile and audible Switches (Clicky)} separate the stem into \item \textbf{Tactile and audible Switches (Clicky)} separate the stem into
two parts, the lower part also features a small bump to provide tactile two parts. The lower part also features a small bump to provide tactile
feedback and is also responsible for a distinct click sound when the actuation feedback and is also responsible for a distinct click sound when the actuation
happens \cite{cherry_mx_blue}. Gerard et al. noted, that in their study happens \cite{cherry_mx_blue}. Gerard et al. noted, that in their study
(n=24), keyboards with audible feedback increased typing speed and decreased (n=24) keyboards with audible feedback increased typing speed and decreased
typing force. This improvement could have been due to the previous experience typing force. This improvement could have been due to the previous experience
of participants with keyboards of similar model and keyswitch characteristic of participants with keyboards of similar model and keyswitch characteristic
\cite{gerard_keyswitch}. \cite{gerard_keyswitch}.
\item \textbf{Linear Switches} do not offer a distinct feedback for the \item \textbf{Linear Switches} do not offer a distinct feedback for the
typist. The activation of the keyswitch just happens after approximately half typist. The activation of the keyswitch just happens after approximately half
the total travel distance \cite{cherry_mx_red}. The only tactile feedback that the total travel distance \cite{cherry_mx_red}. The only tactile feedback that
could happen is the impact of \gls{bottoming}, but with enough practice, could happen is the impact of \gls{bottoming}. However, with enough practice
typist can develop a lighter touch which reduces overall typing force and typist can develop a lighter touch which reduces overall typing force and
therefore reduces the risk of \gls{WRUED} \cite{gerard_keyswitch, therefore reduces the risk of \gls{WRUED} \cite{gerard_keyswitch,
peery_3d_keyswitch, fagarasanu_force_training}. peery_3d_keyswitch, fagarasanu_force_training}.
@ -192,7 +192,7 @@ forces. Actuation force, also sometimes referred to as make force, is the force
required to activate the keyswitch \cite{radwin_keyswitch, required to activate the keyswitch \cite{radwin_keyswitch,
ergopedia_keyswitch}. That means depending on the mechanism used, activation ergopedia_keyswitch}. That means depending on the mechanism used, activation
describes the closing of an electrical circuit which forwards a signal, that is describes the closing of an electrical circuit which forwards a signal, that is
then processed by a controller inside of the keyboard and finally send to the then processed by a controller inside of the keyboard and finally sent to the
computer. The computer then selects the corresponding character depending on the computer. The computer then selects the corresponding character depending on the
layout used by the user. Previous studies have shown, that actuation force has layout used by the user. Previous studies have shown, that actuation force has
an impact on error rate, subjective discomfort, muscle activity and force an impact on error rate, subjective discomfort, muscle activity and force
@ -202,7 +202,7 @@ typing speed, which could be more significant with greater variation of
actuation force across tested keyboards \cite{loricchio_force_speed}. actuation force across tested keyboards \cite{loricchio_force_speed}.
\begin{phga_sum*} \begin{phga_sum*}
Since this thesis is focused around keyboards and especially the relation Since this thesis is focused on keyboards and especially the relation
between the actuation force of the keyswitch and efficiency (speed, error rate) between the actuation force of the keyswitch and efficiency (speed, error rate)
and also the differences in satisfaction while using keyswitches with varying and also the differences in satisfaction while using keyswitches with varying
actuation forces, it was important to evaluate different options of keyswitches actuation forces, it was important to evaluate different options of keyswitches
@ -217,14 +217,14 @@ each key should have an adjusted actuation force depending on the finger that
normally operates it. It should be mentioned, that it is theoretically possible normally operates it. It should be mentioned, that it is theoretically possible
to exchange individual rubber dome switches on some keyboards, e.g. keyboards to exchange individual rubber dome switches on some keyboards, e.g. keyboards
with \gls{Topre} switches, but the lacking availability of compatible keyboards with \gls{Topre} switches, but the lacking availability of compatible keyboards
and especially the limited selection of actuation forces (30g to 55g for and especially the limited selection of actuation forces (30\,g to 55\,g for
\gls{Topre} \cite{realforce_topre}) makes this not a viable option for this \gls{Topre} \cite{realforce_topre}) makes this not a viable option for this
thesis \cite{keychatter_topre}. Therefore, we decided to use mechanical thesis \cite{keychatter_topre}. Therefore, we decided to use mechanical
keyswitches for our experiment, because these keyswitches are broadly available keyswitches for our experiment. These keyswitches are broadly available
in a variety of actuation forces and because the spring which mainly defines the in a variety of actuation forces and because the spring which mainly defines the
actuation force can be easily replaced with any other compatible spring on the actuation force can be easily replaced with any other compatible spring on the
market, the selection of actuation forces is much more appropriate for our use market, the selection of actuation forces is much more appropriate for our use
case (30g to 150g) \cite{peery_3d_keyswitch}. We also decided to use linear case (30\,g to 150\,g) \cite{peery_3d_keyswitch}. We also decided to use linear
switches because they closest resemble the feedback of the more wide spread switches because they closest resemble the feedback of the more wide spread
rubber dome switches. Further, linear switches do not introduce additional rubber dome switches. Further, linear switches do not introduce additional
factors beside the actuation force to the experiment. In addition, based on the factors beside the actuation force to the experiment. In addition, based on the
@ -248,15 +248,16 @@ is transcribed \cite{chen_typing_test, hoffmann_typeright,
\subsubsection{Readability of Text} \subsubsection{Readability of Text}
\label{sec:meas_fre} \label{sec:meas_fre}
Text used should be easy to read for typists The texts used should be easy to read for typists participating in studies that
participating in studies that evaluate their performance and are therefore is evaluate their performance and are therefore chosen based on a metric called the
chosen based on a metric called the \gls{FRE} which indicates the \gls{FRE} which indicates the understandability of text
understandability of text \cite{fagarasanu_force_training, \cite{fagarasanu_force_training, kim_typingforces, flesch_fre}. The score ranges
kim_typingforces, flesch_fre}. The score ranges from 0 which implies very poor reading from 0 which implies very poor reading ease to 100 suggesting that the style of
ease to 100 suggesting that the style of writing used causes the text to be very writing used causes the text to be very easy to comprehend
easy to comprehend \cite{flesch_fre}. Immel proposed an adjusted formula of the \cite{flesch_fre}. Immel proposed an adjusted formula of the \gls{FRE} that is
\gls{FRE} that is suitable for German text \cite{immel_fre} and can be seen in suitable for German text \cite{immel_fre} and can be seen in
(\ref{eq:fre_german}). (\ref{eq:fre_german}). This formula was necessary, because all participants were
Germans.
\begin{equation}\label{eq:fre_german} \begin{equation}\label{eq:fre_german}
FRE_{deutsch} = 180 - \underbrace{ASL}_{\mathclap{\text{Average Sentence Length}}} - (58,5 * \overbrace{ASW}^{\mathclap{\text{Average Syllables per Word}}}) FRE_{deutsch} = 180 - \underbrace{ASL}_{\mathclap{\text{Average Sentence Length}}} - (58,5 * \overbrace{ASW}^{\mathclap{\text{Average Syllables per Word}}})
@ -344,7 +345,7 @@ In several other studies, in addition to the metrics mentioned so far, \gls{EMG}
data was captured to evaluate the muscle activity or applied force while typing data was captured to evaluate the muscle activity or applied force while typing
on completely different or modified hardware \cite{kim_typingforces, on completely different or modified hardware \cite{kim_typingforces,
fagarasanu_force_training, gerard_audio_force, gerard_keyswitch, martin_force, fagarasanu_force_training, gerard_audio_force, gerard_keyswitch, martin_force,
rose_force, rempel_ergo, pereira_typing_test}. \gls{EMG} signals, are captured rose_force, rempel_ergo, pereira_typing_test}. \gls{EMG} signals are captured
with the help of specialized equipment that utilize electrodes which are either with the help of specialized equipment that utilize electrodes which are either
placed onto the skin above the muscles of interest (non-invasive) or inserted placed onto the skin above the muscles of interest (non-invasive) or inserted
directly into the muscle (invasive). The disadvantage of non-invasive surface directly into the muscle (invasive). The disadvantage of non-invasive surface
@ -379,7 +380,7 @@ and satisfaction, are evaluated based on survey data collected after
participants used different input methods \cite{kim_typingforces, participants used different input methods \cite{kim_typingforces,
bell_pauseboard, bufton_typingforces, pereira_typing_test, iso9241-411}. In bell_pauseboard, bufton_typingforces, pereira_typing_test, iso9241-411}. In
their study, Kim et al. used a modified version of the \gls{KCQ} provided by the their study, Kim et al. used a modified version of the \gls{KCQ} provided by the
\gls{ISO} which is specifically designed to evaluate different keyboards in \gls{ISO}, which is specifically designed to evaluate different keyboards in
terms of user satisfaction, comfort and usability \cite{kim_typingforces, terms of user satisfaction, comfort and usability \cite{kim_typingforces,
iso9241-411}. This survey poses a total of twelve questions concerning e.g., iso9241-411}. This survey poses a total of twelve questions concerning e.g.,
fatigue of specific regions of the upper extremity, general satisfaction with fatigue of specific regions of the upper extremity, general satisfaction with
@ -392,7 +393,7 @@ categories \cite{nguyen_ueq, olshevsky_ueq, gkoumas_ueq}. While the full
(attractiveness, perspicuity, efficiency, dependability, stimulation and (attractiveness, perspicuity, efficiency, dependability, stimulation and
novelty), the \gls{UEQ-S} only features 8 questions and two scales (pragmatic novelty), the \gls{UEQ-S} only features 8 questions and two scales (pragmatic
and hedonic quality). Because of the limited explanatory power of the and hedonic quality). Because of the limited explanatory power of the
\gls{UEQ-S}, it is recommended to only use it, if there is not enough time to \gls{UEQ-S}, it is recommended to only use it if there is not enough time to
complete the full \gls{UEQ} or if the participants of a study are required to complete the full \gls{UEQ} or if the participants of a study are required to
rate several products in one session \cite{schrepp_ueq_handbook}. rate several products in one session \cite{schrepp_ueq_handbook}.
@ -416,9 +417,9 @@ As already discussed in Section \ref{sec:metrics}, it is common practice in
research related to typing to present a text that has to be transcribed by the research related to typing to present a text that has to be transcribed by the
participant. Usually, the text was chosen by the researcher or already available participant. Usually, the text was chosen by the researcher or already available
through the used typing test software. If the understandability of text is of through the used typing test software. If the understandability of text is of
concern, the binary choice of, is understandable or not, made by the researcher concern, the binary choice of―is understandable or not―made by the researcher
could lead to a phenomenon called the observer bias \cite{hrob_observer, could lead to a phenomenon called the observer bias \cite{hrob_observer,
berger_observer, angrosino_observer}. Thus, the text could potentially be to berger_observer, angrosino_observer}. Thus, the text could potentially be too
difficult to understand for the participants if not evaluated with e.g. the difficult to understand for the participants if not evaluated with e.g. the
\gls{FRE} or other adequate formulas. Further, if there is previous knowledge \gls{FRE} or other adequate formulas. Further, if there is previous knowledge
about the requested participants, the researcher could subconsciously select about the requested participants, the researcher could subconsciously select
@ -457,31 +458,31 @@ models. One difference was the applied force, a keyswitch required to
activate. A study by Akagi tested the differences in performance and preference activate. A study by Akagi tested the differences in performance and preference
across four visually identical keyboards with different keyswitches. The across four visually identical keyboards with different keyswitches. The
keyswitches differed in actuation force and type. Two keyboards used tactile keyswitches differed in actuation force and type. Two keyboards used tactile
keyswitches with 70.9 g (\gls{KB} A) and 32.5 g (\gls{KB} C) the other two keyswitches with 70.9\,g (\gls{KB} A) and 32.5\,g (\gls{KB} C) the other two
linear switches with 70.9 g (\gls{KB} D) and 42.5 g (\gls{KB} B). The (n=24) linear switches with 70.9\,g (\gls{KB} D) and 42.5\,g (\gls{KB} B). The (n=24)
subjects were required to type on each keyboard for 7 to 8 minutes where speed subjects were required to type on each keyboard for 7 to 8 minutes where speed
and errors were recorded. The results showed, that \gls{KB} D (linear, 70.9 g) and errors were recorded. The results showed, that \gls{KB} D (linear, 70.9\,g)
produced the lowest error rate followed by \gls{KB} A (tactile, 70.9 g), produced the lowest error rate followed by \gls{KB} A (tactile, 70.9\,g),
\gls{KB} C (linear, 42.5 g) and \gls{KB} B (tactile, 35.5 g). Further, the \gls{KB} C (linear, 42.5\,g) and \gls{KB} B (tactile, 35.5\,g). Further, the
difference in typing speed between the slowest (tactile, 70.9 g) and fastest difference in typing speed between the slowest (tactile, 70.9\,g) and fastest
(linear, 42.5 g) keyboard was only 2.61\% and according to Akagi too small to be (linear, 42.5\,g) keyboard was only 2.61\,\% and according to Akagi too small to be
significant in practical use. The study also revealed, that the preference for significant in practical use. The study also revealed, that the preference for
neither of the four keyboards was significantly different neither of the four keyboards was significantly different
\cite{akagi_keyswitch}. A follow up survey by Akagi concerning the model of \cite{akagi_keyswitch}. A follow up survey by Akagi concerning the model of
keyboard typists would prefer to use in the future revealed, that 69\% of the 81 keyboard typists would prefer to use in the future revealed, that 69\,\% of the 81
participating decided for a newly proposed keyboard with 56.7 g resistance and participating decided for a newly proposed keyboard with 56.7\,g resistance and
light tactile feedback \cite{akagi_keyswitch}. Further, a study by Loricchio, light tactile feedback \cite{akagi_keyswitch}. Further, a study by Loricchio,
were (n=16) participants typed on two identical keyboard models that only where (n=16) participants typed on two identical keyboard models that only
differed in actuation force (58 g and 74g), also yielded moderate differences in differed in actuation force (58\,g and 74\,g), also yielded moderate differences in
typing speed. The keyboard with lower actuation force was 8.25\% faster and typing speed. The keyboard with lower actuation force was 8.25\,\% faster and
preferred by 15 out of the 16 subjects compared to the keyboard featuring preferred by 15 out of the 16 subjects compared to the keyboard featuring
keyswitches with higher actuation force \cite{loricchio_force_speed}. A study by keyswitches with higher actuation force \cite{loricchio_force_speed}. A study by
Hoffmann et al. even designed a keyboard that utilized small Hoffmann et al. even designed a keyboard that utilized small
electromagnets―instead of the typically used spring―to dynamically alter the electromagnets―instead of the typically used spring―to dynamically alter the
resistance of keys to prevent erroneous input by increasing the force required resistance of keys to prevent erroneous input by increasing the force required
to press keys that do not make sense in the current context of a word. This to press keys that do not make sense in the current context of a word. This
design reduced the number of required corrections by 46\% and overall lowered design reduced the number of required corrections by 46\,\% and overall lowered
typos by 87\% compared to when the force feedback was turned off (n=12) typos by 87\,\% compared to when the force feedback was turned off (n=12)
\cite{hoffmann_typeright}. \cite{hoffmann_typeright}.
\begin{phga_sum*} \begin{phga_sum*}
@ -490,16 +491,16 @@ different results pertaining speed, but agreed that actuation force influences
the error rate during typing related tasks. To our best knowledge, there are no the error rate during typing related tasks. To our best knowledge, there are no
studies that evaluated the effect of non-uniformly distributed actuation forces studies that evaluated the effect of non-uniformly distributed actuation forces
across one keyboard on speed, accuracy, error rate or preference. This is why we across one keyboard on speed, accuracy, error rate or preference. This is why we
want to reevaluate the influence of actuation force on speed and determine, if want to reevaluate the influence of actuation force on speed and determine if
keyboards with non-uniform actuation forces have a positive impact on all keyboards with non-uniform actuation forces have a positive impact on all
metrics mentioned so far. The next section gives insights, into why such metrics mentioned so far. The next section gives insights into why such
keyboards could make sense. keyboards could make sense.
\end{phga_sum*} \end{phga_sum*}
\subsection{Strength of Individual Fingers} \subsection{Strength of Individual Fingers}
As already mentioned in Section \ref{sec:mech_switch}, the force applied to a As already mentioned in Section \ref{sec:mech_switch}, the force applied to a
keyswitch is the concern of multiple studies that evaluate the relation between keyswitch is the concern of multiple studies that evaluate the relation between
keyboarding and \gls{WRUED}. Further, multiple studies came to the conclusion, keyboarding and \gls{WRUED}. Further, multiple studies came to the conclusion
that there is a significant discrepancy in strength between individual fingers that there is a significant discrepancy in strength between individual fingers
\cite{bretz_finger, martin_force, baker_kinematics, dickson_finger}. Bretz et \cite{bretz_finger, martin_force, baker_kinematics, dickson_finger}. Bretz et
al. found, that when participants squeezed an object between thumb and finger, al. found, that when participants squeezed an object between thumb and finger,
@ -519,7 +520,7 @@ The goal of this thesis is to evaluate the possible advantages of keyboards with
non-uniform actuation forces. The fairly small difference of only 0.08 \gls{N} in mean non-uniform actuation forces. The fairly small difference of only 0.08 \gls{N} in mean
force applied to keyboards recorded by Martin et al. \cite{martin_force} but force applied to keyboards recorded by Martin et al. \cite{martin_force} but
rather big difference in finger strength measured by Bretz et rather big difference in finger strength measured by Bretz et
al. \cite{bretz_finger} could indicate, that albeit the difference in strength, al. \cite{bretz_finger} could indicate that albeit the difference in strength,
all fingers have to apply equal force to generate a keypress because of the all fingers have to apply equal force to generate a keypress because of the
uniform actuation force used in commercially available keyboards. uniform actuation force used in commercially available keyboards.
\end{phga_sum*} \end{phga_sum*}
@ -546,9 +547,9 @@ is feasible to evaluate possible alternative input methods to the more
traditional keyboard. The availability of affordable surface level \gls{EMG} traditional keyboard. The availability of affordable surface level \gls{EMG}
measurement devices makes it possible for researchers that are not medically measurement devices makes it possible for researchers that are not medically
trained to conduct non-invasive muscle activity measurements \cite{takala_emg} trained to conduct non-invasive muscle activity measurements \cite{takala_emg}
and load cells in combination with micro controllers are a reliable, low-cost In addition, load cells in combination with micro controllers are a reliable,
solution to visualize the strength of different fingers and monitor applied low-cost solution to visualize the strength of different fingers and monitor
forces while typing \cite{gerard_keyswitch, rempel_ergo, applied forces while typing \cite{gerard_keyswitch, rempel_ergo,
bufton_typingforces}. Although, the strength of individual fingers has already bufton_typingforces}. Although, the strength of individual fingers has already
been measured in different studies \cite{bretz_finger, martin_force, been measured in different studies \cite{bretz_finger, martin_force,
baker_kinematics, dickson_finger}, to our best knowledge, there are no baker_kinematics, dickson_finger}, to our best knowledge, there are no

@ -1,12 +1,12 @@
\section{Development and Implementation of Necessary Tools} \section{Development and Implementation of Necessary Tools}
For the purpose of this thesis, we programmed our own typing test platform to For the purpose of this thesis, we programmed our own typing test platform to
have better control over the performance related measurements and the text that have better control over the performance related measurements and the text that
has to be transcribed. Further, the participants had to fill out up to two has to be transcribed. The participants had to fill out up to two questionnaires
questionnaires after each typing test which had to be linked to this specific after each typing test which had to be linked to this specific typing test or
typing test or keyboard. With a total number of 24 subjects, five keyboards and keyboard. With a total number of 24 subjects, five keyboards and therefore 10
therefore 10 individual typing tests per subject or 240 typing tests in total, individual typing tests per subject or 240 typing tests in total, we decided to
we decided to incorporate a questionnaire feature into our platform to mitigate incorporate a questionnaire feature into our platform to mitigate the
the possibility of false mappings between typing tests, surveys and possibility of false mappings between typing tests, surveys and
participants. Additionally, because we wanted to control the understandability participants. Additionally, because we wanted to control the understandability
of text without introducing observer bias for the text selection process and of text without introducing observer bias for the text selection process and
also to save time, we implemented a crowdsourcing feature where individuals also to save time, we implemented a crowdsourcing feature where individuals
@ -34,7 +34,7 @@ as shown in Figure \ref{fig:s3_flow}
\label{sec:gott} \label{sec:gott}
The platform we created is called \gls{GoTT} because the backend, which is the The platform we created is called \gls{GoTT} because the backend, which is the
server side code, is programmend in Go, a programming language developed by a server side code, is programmend in Go, a programming language developed by a
team at Google \cite{golang}. The decision for Go was made, because Go's team at Google \cite{golang}. The decision for Go was made because Go's
standard library offers convenient packages to quickly setup a web server with standard library offers convenient packages to quickly setup a web server with
simple routing and templating functionalities \cite{golang_std}. The backend and simple routing and templating functionalities \cite{golang_std}. The backend and
frontend communicate through a \gls{REST} \gls{API} and exchange data in frontend communicate through a \gls{REST} \gls{API} and exchange data in
@ -144,7 +144,8 @@ KSPS = roundToPrecision((ISL - 1) / TEST_TIME, 5);
% KSPC = roundToPrecision(ISL / TL, 5); % KSPC = roundToPrecision(ISL / TL, 5);
For further implementation details on how input was captured or sent to the For further implementation details on how input was captured or sent to the
backend refer to the code in the online repository \footnote{TODO: GITHUB}. backend, refer to the code in the online
repository\footnote{\url{https://github.com/qhga/GoTT}}.
To test the usability of the typing test, we asked five individuals to complete To test the usability of the typing test, we asked five individuals to complete
multiple typing tests with their own computer. Based on the feedback we multiple typing tests with their own computer. Based on the feedback we
@ -209,7 +210,7 @@ not. The implementation of the algorithm that calculates the \gls{FRE} can be
seen in Listing \ref{lst:gott_fre}. The function \textit{countSyllables} seen in Listing \ref{lst:gott_fre}. The function \textit{countSyllables}
utilizes regex \footnote{\url{https://github.com/google/re2/wiki/Syntax}} utilizes regex \footnote{\url{https://github.com/google/re2/wiki/Syntax}}
matching to identify the number of syllables in a given string in German matching to identify the number of syllables in a given string in German
language. The rules for hyphenation defined by Duden online language. The rules for hyphenation defined by \textit{Duden Online}
\footnote{\url{https://www.duden.de/sprachwissen/rechtschreibregeln/worttrennung}} \footnote{\url{https://www.duden.de/sprachwissen/rechtschreibregeln/worttrennung}}
were used to derive the regex patterns to identify syllables were used to derive the regex patterns to identify syllables
\cite{duden_hyphen}. The \gls{FRE} scores yielded by our function were verified \cite{duden_hyphen}. The \gls{FRE} scores yielded by our function were verified
@ -276,7 +277,10 @@ func calculateFRE(txt string) float64 {
\begin{figure}[ht] \begin{figure}[ht]
\centering \centering
\includegraphics[width=0.8\textwidth]{images/force_master_1} \includegraphics[width=0.8\textwidth]{images/force_master_1}
\caption{Prototype of a measuring device that simulates the distance and finger position required to press different keys on a keyboard. The display shows the currently applied force in gram and the peak force applied throughout the current measurement in gram and \gls{N}} \caption{Prototype of a measuring device that simulates the distance and
finger position required to press different keys on a keyboard. The display
shows the currently applied force in gram and the peak force applied
throughout the current measurement in gram and \gls{N}}
\label{fig:force_master} \label{fig:force_master}
\end{figure} \end{figure}
@ -300,7 +304,7 @@ applied force in gram and peak force in gram and \gls{N}. The devices was mainly
controlled via two terminal commands. One command initiated re-calibration that controlled via two terminal commands. One command initiated re-calibration that
was used after each participant or in between measurements and the other command was used after each participant or in between measurements and the other command
reset all peak values displayed via the display. The base of the device featured reset all peak values displayed via the display. The base of the device featured
a scale, which was traversed with the help of a wrist wrest that got aligned a scale, which was traversed with the help of a wrist rest that got aligned
with the markings corresponding to the currently measured key. Each mark with the markings corresponding to the currently measured key. Each mark
represents the distance and position of a finger to the associated key indicated represents the distance and position of a finger to the associated key indicated
by the label underneath the marking. The measurement process is explained in by the label underneath the marking. The measurement process is explained in

@ -40,17 +40,17 @@ why we wanted to ascertain if and how, with the advance of technology in recent
years and especially the capabilities modern smartphones offer, keyboard usage years and especially the capabilities modern smartphones offer, keyboard usage
has changed. Further, we wanted to gather information about the preference of has changed. Further, we wanted to gather information about the preference of
key resistance, keyswitch type and experiences with \gls{WRUED}. Therefore, we key resistance, keyswitch type and experiences with \gls{WRUED}. Therefore, we
conducted a structured interview with seventeen volunteers (59\% females) via conducted a structured interview with seventeen volunteers (59\,\% females) via
telephone, from which the most important results are presented in Figure telephone, from which the most important results are presented in Figure
\ref{fig:res_tel}. The age of the subjects ranged between 22 and 52 with a mean \ref{fig:res_tel}. The age of the subjects ranged between 22 and 52 with a mean
age of 29 years. The professions of subjects were distributed among medical age of 29 years. The professions of subjects were distributed among medical
workers, students, office employees, computer engineers and community workers, students, office employees, computer engineers and community
workers. The first question we asked was \textit{``Which keyboard in terms of workers. The first question we asked was \textit{``Which keyboard in terms of
actuation force would be the most satisfying for you to use in the long actuation force would be the most satisfying for you to use in the long
run?''}. Thirteen (76\%) out of the seventeen subjects mentioned, that they run?''}. Thirteen (76\,\%) out of the seventeen subjects mentioned, that they
would prefer a keyboard with light actuation force over a keyboard with higher would prefer a keyboard with light actuation force over a keyboard with higher
resistance. The next question \textit{``Have you ever had pain when using a resistance. The next question \textit{``Have you ever had pain when using a
keyboard and if so, where did you have pain?''} yielded, that 41\% of those keyboard and if so, where did you have pain?''} yielded, that 41\,\% of those
polled experienced pain at least once while using a keyboard. The areas affected polled experienced pain at least once while using a keyboard. The areas affected
described by the seven who already experienced pain were the wrist described by the seven who already experienced pain were the wrist
\underline{and} forearm (3 out of 7), wrist only (2 out of 7), fingers (1 out of \underline{and} forearm (3 out of 7), wrist only (2 out of 7), fingers (1 out of
@ -68,7 +68,7 @@ durations related to computer work can be inaccurate
prefer to perform with a keyboard rather than your mobile phone?''} revealed, prefer to perform with a keyboard rather than your mobile phone?''} revealed,
that all of the subjects preferred to use a keyboard when entering greater that all of the subjects preferred to use a keyboard when entering greater
amounts of data (emails, applications, presentations, calculations, research), amounts of data (emails, applications, presentations, calculations, research),
but also surprisingly 41\% preferred to use a keyboard to write instant messages but also surprisingly 41\,\% preferred to use a keyboard to write instant messages
(chatting via Whatsapp Web\footnote{\url{https://web.whatsapp.com/}}, Signal (chatting via Whatsapp Web\footnote{\url{https://web.whatsapp.com/}}, Signal
Desktop\footnote{\url{https://signal.org/download/}}, Telegram Desktop\footnote{\url{https://signal.org/download/}}, Telegram
Desktop\footnote{\url{https://desktop.telegram.org/}}). Desktop\footnote{\url{https://desktop.telegram.org/}}).
@ -90,14 +90,14 @@ Matias\footnote{\url{http://matias.ca/switches/}},
Razer\footnote{\url{https://www.razer.com/razer-mechanical-switches}} and Razer\footnote{\url{https://www.razer.com/razer-mechanical-switches}} and
Logitech\footnote{\url{https://www.logitechg.com/en-us/innovation/mechanical-switches.html}}. Since Logitech\footnote{\url{https://www.logitechg.com/en-us/innovation/mechanical-switches.html}}. Since
some of the key actuation forces listed on the manufacturers or resellers some of the key actuation forces listed on the manufacturers or resellers
websites were given in cN and most of them in g or gf, the values were adjusted websites were given in \gls{cN} and most of them in gram or gram-force, the values
to gram to reflect a trend that is within a margin of ± 2 g of accuracy. The were adjusted to gram to reflect a trend that is within a margin of ± 2\,g of
results shown in Figure \ref{fig:keyswitches_brands} are used to determine the accuracy. The results shown in Figure \ref{fig:keyswitches_brands} are used to
minimum, maximum and most common actuation force for broadly available determine the minimum, maximum and most common actuation force for broadly
keyswitches. According to our findings, the lowest commercially available available keyswitches. According to our findings, the lowest commercially
actuation force is 35 g ($\approx$ 0.34 \gls{N}) the most common one is 50 g available actuation force is 35\,g ($\approx$ 0.34 \gls{N}) the most common one
($\approx$ 0.49 \gls{N}) and the highest resistance available is 80 g ($\approx$ is 50\,g ($\approx$ 0.49 \gls{N}) and the highest resistance available is 80\,g
0.78 \gls{N}). ($\approx$ 0.78 \gls{N}).
\begin{figure}[H] \begin{figure}[H]
\centering \centering
@ -107,33 +107,35 @@ actuation force is 35 g ($\approx$ 0.34 \gls{N}) the most common one is 50 g
\end{figure} \end{figure}
\subsection{Preliminary Study of Finger Strength} \subsection{Preliminary Study of Finger Strength}
To evaluate the impact of an adjusted keyboard (keyboard with non-uniform \label{sec:meth_force}
actuation forces) on performance and satisfaction we first needed to get an To evaluate the impact of an adjusted keyboard\footnote{keyboard with
understanding on how to distribute keyswitches with different actuation forces non-uniform actuation forces} on performance and satisfaction we first needed
across a keyboard. Our first idea was to use a similar approach to the keyboard to get an understanding on how to distribute keyswitches with different
we described in Section \ref{sec:lr_sum}, were the force required to activate actuation forces across a keyboard. Our first idea was to use a similar approach
the keys decreased towards the left and right ends of the keyboard. This rather to the keyboard we described in Section \ref{sec:lr_sum}, were the force
simple approach only accounts for the differences in finger strength when all required to activate the keys decreased towards the left and right ends of the
fingers are in the same position, but omits possible differences in applicable keyboard. This rather simple approach only accounts for the differences in
force depending on the position a finger has to enter to press a certain key. finger strength when all fingers are in the same position, but omits possible
To detect possible differences in peak force depending on the position of the differences in applicable force depending on the position a finger has to enter
fingers, we conducted an experiment with six volunteers (50\% to press a certain key. To detect possible differences in peak force depending
females). Subject's ages ranged from 20 to 26 with a mean age of 24 years. The on the position of the fingers, we conducted an experiment with six volunteers
subjects were all personal contacts. Subjects professions were distributed as (50\,\% females). Subject's ages ranged from 20 to 26 with a mean age of 24
follows: computer science students (3/6), physiotherapist (1/6), user experience years. The subjects were all personal contacts. Subjects professions were
consultant (1/6) and retail (1/6). All Participants were given instructions to distributed as follows: computer science students (3/6), physiotherapist (1/6),
exert maximum force for approximately one second onto the key mounted to the user experience consultant (1/6) and retail (1/6). All Participants were given
measuring device described in Section \ref{sec:force_meas_dev}. We also used a instructions to exert maximum force for approximately one second onto the key
timer to announced when to press and when to stop. We provided a keyboard to mounted to the measuring device described in Section
every participant, which was used as a reference for the finger position before \ref{sec:force_meas_dev}. We also used a timer to announced when to press and
every measurement. To reduce order effects, we used a balanced latin square to when to stop. We provided a keyboard to every participant, which was used as a
specify the sequence of rows (top, home, bottom) in which the participants had reference for the finger position before every measurement. To reduce order
to press the keys \cite{bradley_latin_square}. Additionally, because there were effects, we used a balanced latin square to specify the sequence of rows (top,
only six people available, we alternated the direction from which participants home, bottom) in which the participants had to press the keys
had to start in such a way, that every second subject started with the little \cite{bradley_latin_square}. Additionally, because there were only six people
finger instead of the index finger. An example of four different positions of available, we alternated the direction from which participants had to start in
the finger while performing the measurements for the keys \textit{Shift, L, I} such a way, that every second subject started with the little finger instead of
and \textit{Z} can be observed in Figure \ref{fig:FM_example}. the index finger. An example of four different positions of the finger while
performing the measurements for the keys \textit{Shift, L, I} and \textit{Z} can
be observed in Figure \ref{fig:FM_example}.
\begin{figure}[H] \begin{figure}[H]
\centering \centering
@ -148,7 +150,7 @@ and \textit{Z} can be observed in Figure \ref{fig:FM_example}.
\end{figure} \end{figure}
The results of the measurements are given in Table \ref{tbl:finger_force}. The The results of the measurements are given in Table \ref{tbl:finger_force}. The
median of the means (15.47 N) of all measurements was used to calculate the median of the means (15.47\,N) of all measurements was used to calculate the
actuation forces in gram for the keyswitches later incorporated in the layout actuation forces in gram for the keyswitches later incorporated in the layout
for the adjusted keyboard. We used Eq. (\ref{eq:N_to_g}) and for the adjusted keyboard. We used Eq. (\ref{eq:N_to_g}) and
Eq. (\ref{eq:actuation_forces}) to calculate the theoretical gram values for Eq. (\ref{eq:actuation_forces}) to calculate the theoretical gram values for
@ -156,7 +158,7 @@ each measured keyswitch.
\begin{equation} \begin{equation}
\label{eq:N_to_g} \label{eq:N_to_g}
GFR = \frac{50 g}{M_{maf}} = \frac{50 g}{14.47 N} = 3.23 \frac{g}{N} GFR = \frac{50\,g}{M_{maf}} = \frac{50\,g}{14.47\,N} = 3.23 \frac{g}{N}
\end{equation} \end{equation}
\begin{equation} \begin{equation}
@ -164,7 +166,7 @@ each measured keyswitch.
AF_{key} = GFR * MAF_{key} AF_{key} = GFR * MAF_{key}
\end{equation} \end{equation}
With $M_{maf}$ the median of the means of applicable forces, $50 g$ the most With $M_{maf}$ the median of the means of applicable forces, $50\,g$ the most
commonly found actuation force on the market (Section \ref{sec:market_forces}), commonly found actuation force on the market (Section \ref{sec:market_forces}),
$GFR_{key}$ the gram to force ratio, $MAF_{key}$ the median of applicable force $GFR_{key}$ the gram to force ratio, $MAF_{key}$ the median of applicable force
for a specific key and $AF_{key}$ the actuation force for that specific key in for a specific key and $AF_{key}$ the actuation force for that specific key in
@ -175,7 +177,7 @@ key can be seen in Eq. (\ref{eq:force_example}).
\begin{equation} \begin{equation}
\label{eq:force_example} \label{eq:force_example}
AF_{P} = GFR * MAF_{P} = 3.23 \frac{g}{N} * 10.45 N \approx 33.75 g AF_{P} = GFR * MAF_{P} = 3.23 \frac{g}{N} * 10.45\,N \approx 33.75\,g
\end{equation} \end{equation}
We then assigned the each theoretical actuation force to a group that resembles We then assigned the each theoretical actuation force to a group that resembles
@ -239,7 +241,7 @@ representing the best fit shown in Table \ref{tbl:force_groups}.
\begin{tabular}{?l^c^c^c^c^c^c^c} \begin{tabular}{?l^c^c^c^c^c^c^c}
\toprule \toprule
\rowstyle{\itshape} \rowstyle{\itshape}
\textbf{Spring Stiffness:} & 35 g & 40 g & 45 g & 50 g & 55 g & 60 g \\ \textbf{Spring Stiffness:} & 35\,g & 40\,g & 45\,g & 50\,g & 55\,g & 60\,g \\
\midrule \midrule
\emph{\textbf{F5:} Key (g)} & \centered{P&(33.75)\\Ü&(34.56)\\+&(34.56)\\-&(35.01)\\&(36.27)}& \centered{Ä&(38.37)\\Ö&(39.63)}&&&&&\\ \emph{\textbf{F5:} Key (g)} & \centered{P&(33.75)\\Ü&(34.56)\\+&(34.56)\\-&(35.01)\\&(36.27)}& \centered{Ä&(38.37)\\Ö&(39.63)}&&&&&\\
\midrule \midrule
@ -314,14 +316,14 @@ There were no specific eligibility criteria for participants (n=24) of this
study beside the ability to type on a keyboard for longer durations and with all study beside the ability to type on a keyboard for longer durations and with all
ten fingers. The style used to type was explicitly not restricted to schoolbook ten fingers. The style used to type was explicitly not restricted to schoolbook
touch typing to also evaluate possible effects of the adjusted keyboard on touch typing to also evaluate possible effects of the adjusted keyboard on
untrained typists. All participants recruited were personal contacts. 54\% of untrained typists. All participants recruited were personal contacts. 54\,\% of
subjects were females. Participant's ages ranged from 20 to 58 years with a mean subjects were females. Participant's ages ranged from 20 to 58 years with a mean
age of 29. Sixteen out of the twenty-four subjects (67\%) reported that they age of 29. Sixteen out of the twenty-four subjects (67\,\%) reported that they
were touch typists. Subjects reported the following keyboard types as their were touch typists. Subjects reported the following keyboard types as their
daily driver, notebook keyboard (12, 50\%), external keyboard (11, 46\%) and daily driver, notebook keyboard (12, 50\,\%), external keyboard (11, 46\,\%) and
split keyboard (1, 4\%). The keyswitch types of those keyboards were distributed split keyboard (1, 4\,\%). The keyswitch types of those keyboards were distributed
as follows: scissor-switch (13, 54\%), rubber dome (8, 33\%) and mechanical as follows: scissor-switch (13, 54\,\%), rubber dome (8, 33\,\%) and mechanical
keyswitches (3, 13\%). We measured the actuation force of each participants own keyswitches (3, 13\,\%). We measured the actuation force of each participants own
keyboard and the resulting distribution of actuation forces can be observed in keyboard and the resulting distribution of actuation forces can be observed in
Figure \ref{fig:main_actuation_force}. The self-reported average daily usage of Figure \ref{fig:main_actuation_force}. The self-reported average daily usage of
a keyboard ranged from 1 hour to 13 hours, with a mean of 6.69 hours. As already a keyboard ranged from 1 hour to 13 hours, with a mean of 6.69 hours. As already
@ -345,7 +347,7 @@ throughout the experiment.
The whole experiments took place in a room normally used as an office. Chair, The whole experiments took place in a room normally used as an office. Chair,
and table were both height adjustable. The armrests of the chair were also and table were both height adjustable. The armrests of the chair were also
adjustable in height and horizontal position. The computer used for all adjustable in height and horizontal position. The computer used for all
measurements featured an Intel i7-5820K (12) @ 3.600GHz processor, 16 GB RAM and measurements featured an Intel i7-5820K (12) @ 3.600\,GHz processor, 16\,gB RAM and
a NVIDIA GeForce GTX 980 Ti graphics card. The operating system on test machine a NVIDIA GeForce GTX 980 Ti graphics card. The operating system on test machine
was running \textit{Arch Linux}\footnote{\url{https://archlinux.org/}} was running \textit{Arch Linux}\footnote{\url{https://archlinux.org/}}
(GNU/Linux, Linux kernel version: 5.11.16). The setup utilized two 1080p (Full (GNU/Linux, Linux kernel version: 5.11.16). The setup utilized two 1080p (Full
@ -381,11 +383,11 @@ corresponding actuation force can be found in Table \ref{tbl:kb_pseudo}.
\rowstyle{\itshape} \rowstyle{\itshape}
Pseudonym & Actuation Force && Description\\ Pseudonym & Actuation Force && Description\\
\midrule \midrule
\textbf{Own} & 35 g - 65 g & $\approx$ 0.34 N - 0.64 N & Participant's own keyboard (Figure \ref{fig:main_actuation_force})\\ \textbf{Own} & 35\,g - 65\,g & $\approx$ 0.34\,N - 0.64\,N & Participant's own keyboard (Figure \ref{fig:main_actuation_force})\\
\textbf{Nyx} & 35 g & $\approx$ 0.34 N & Uniform\\ \textbf{Nyx} & 35\,g & $\approx$ 0.34\,N & Uniform\\
\textbf{Aphrodite} & 50 g & $\approx$ 0.49 N & Uniform\\ \textbf{Aphrodite} & 50\,g & $\approx$ 0.49\,N & Uniform\\
\textbf{Athena} & 80 g & $\approx$ 0.78 N & Uniform\\ \textbf{Athena} & 80\,g & $\approx$ 0.78\,N & Uniform\\
\textbf{Hera} & 35 g - 60 g & $\approx$ 0.34 N - 0.59 N & Non-uniform / Adjusted (Figure \ref{fig:adjusted_layout})\\ \textbf{Hera} & 35\,g - 60\,g & $\approx$ 0.34\,N - 0.59\,N & Non-uniform / Adjusted (Figure \ref{fig:adjusted_layout})\\
\bottomrule \bottomrule
\end{tabular} \end{tabular}
\caption{Pseudonyms used for the keyboards throughout the experiment.} \caption{Pseudonyms used for the keyboards throughout the experiment.}
@ -457,8 +459,8 @@ was then confirmed, by observing the data received by the \textit{FlexVolt
the participant performed flexion and extension of the wrist. The the participant performed flexion and extension of the wrist. The
\textit{FlexVolt 8-Channel Bluetooth Sensor} used following hardware settings to \textit{FlexVolt 8-Channel Bluetooth Sensor} used following hardware settings to
record the data: 8-Bit sensor resolution, 32ms \gls{RMS} window size and record the data: 8-Bit sensor resolution, 32ms \gls{RMS} window size and
Hardware smoothing filter turned off. To gather reference values (100\%\gls{MVC} Hardware smoothing filter turned off. To gather reference values (100\,\%\gls{MVC}
and 0\%\gls{MVC}), which are used later to calculate the percentage of muscle and 0\,\%\gls{MVC}), which are used later to calculate the percentage of muscle
activity for each test, we performed three measurements. First, participants activity for each test, we performed three measurements. First, participants
were instructed to fully relax the \gls{FDS}, \gls{FDP} and \gls{ED} by were instructed to fully relax the \gls{FDS}, \gls{FDP} and \gls{ED} by
completely resting their forearms on the table. Second, participants exerted completely resting their forearms on the table. Second, participants exerted
@ -466,8 +468,8 @@ maximum possible force with their fingers (volar) against the top of the table
(\gls{MVC} - flexion) and lastly, participants applied maximum possible force (\gls{MVC} - flexion) and lastly, participants applied maximum possible force
with their fingers (dorsal) to the bottom of the table while resting their with their fingers (dorsal) to the bottom of the table while resting their
forearms on their thighs (\gls{MVC} - extension). We decided to also measure forearms on their thighs (\gls{MVC} - extension). We decided to also measure
0\%\gls{MVC} before and after each typing test and used these values to 0\,\%\gls{MVC} before and after each typing test and used these values to
normalize the final data instead of the 0\%\gls{MVC} we retrieved from the normalize the final data instead of the 0\,\%\gls{MVC} we retrieved from the
initial \gls{MVC} measurements. A picture of all participants with the attached initial \gls{MVC} measurements. A picture of all participants with the attached
electrodes can be observed in Appendix \ref{app:emg}. electrodes can be observed in Appendix \ref{app:emg}.
@ -477,13 +479,13 @@ Participants could familiarize themselves with the typing test application
(\gls{GoTT}) for up to five minutes with a keyboard that was not used during the (\gls{GoTT}) for up to five minutes with a keyboard that was not used during the
experiment. Further, representative of the other keyboard models used in the experiment. Further, representative of the other keyboard models used in the
experiment (\gls{GMMK}), participants could familiarize themselves with experiment (\gls{GMMK}), participants could familiarize themselves with
Aphrodite (50 g). Additionally, because of a possible height difference between Aphrodite (50\,g). Additionally, because of a possible height difference between
\gls{GMMK} compared to notebook or other keyboards, participants were given the \gls{GMMK} compared to notebook or other keyboards, participants were given the
choice to use wrist rests of adequate height in combination with all four choice to use wrist rests of adequate height in combination with all four
keyboards during the experiment. If during this process participants reported keyboards during the experiment. If during this process participants reported
that an electrode is uncomfortable and that it would influence the following that an electrode is uncomfortable and that it would influence the following
typing test, this electrode was relocated and the procedure in the last section typing test, this electrode was relocated and the procedure in the last section
was repeated (Happened one time during the whole experiment). was repeated\footnote{Happened one time during the whole experiment}.
\textbf{Texts Used for Typing Tests} \textbf{Texts Used for Typing Tests}
@ -508,7 +510,7 @@ the limited time participants had to fill out the questionnaires in between
typing tests (2 - 3 minutes) and also because participants had to rate multiple typing tests (2 - 3 minutes) and also because participants had to rate multiple
keyboards in one session \cite{schrepp_ueq_handbook}. keyboards in one session \cite{schrepp_ueq_handbook}.
\textbf{Post Experiment Interview \& UX-Curves} \textbf{Post Experiment Interview \& \Gls{UX Curve}s}
To give participants the chance to recapitulate their experience during the To give participants the chance to recapitulate their experience during the
whole experiment, we conducted a semi-structured interview, after all typing whole experiment, we conducted a semi-structured interview, after all typing
@ -517,11 +519,11 @@ interviews and afterwards categorized common statements about each
keyboard. keyboard.
Further, we prepared two different graphs were participants had to draw Further, we prepared two different graphs were participants had to draw
UX-Curves related to subjectively perceived typing speed and subjectively \Gls{UX Curve}s related to subjectively perceived typing speed and subjectively
perceived fatigue for every keyboard and corresponding typing test. The graphs perceived fatigue for every keyboard and corresponding typing test. The graphs
always reflected the order of keyboards for the group the current participant always reflected the order of keyboards for the group the current participant
was part of. Furthermore, before the interview started, participants were given was part of. Furthermore, before the interview started, participants were given
a brief introduction on how to draw UX-Curves and that it is desirable to a brief introduction on how to draw \Gls{UX Curve}s and that it is desirable to
explain the thought process while drawing each curve \cite{kujala_ux_curve}. An explain the thought process while drawing each curve \cite{kujala_ux_curve}. An
example of the empty graph for perceived fatigue (group 1) can be seen in Figure example of the empty graph for perceived fatigue (group 1) can be seen in Figure
\ref{fig:empty_ux_g1}. \ref{fig:empty_ux_g1}.
@ -529,7 +531,7 @@ example of the empty graph for perceived fatigue (group 1) can be seen in Figure
\begin{figure}[H] \begin{figure}[H]
\centering \centering
\includegraphics[width=1.0\textwidth]{images/empty_ux_g1} \includegraphics[width=1.0\textwidth]{images/empty_ux_g1}
\caption{Empty graph for participants of group 1 to draw an UX-curve related \caption{Empty graph for participants of group 1 to draw an \gls{UX Curve} related
to perceived fatigue during the experiment} to perceived fatigue during the experiment}
\label{fig:empty_ux_g1} \label{fig:empty_ux_g1}
\end{figure} \end{figure}
@ -538,8 +540,8 @@ example of the empty graph for perceived fatigue (group 1) can be seen in Figure
Each subject had to take two, 5 minute, typing tests per keyboard, with a total Each subject had to take two, 5 minute, typing tests per keyboard, with a total
of 5 keyboards, namely \textit{Own (participant's own keyboard)}, \textit{Nyx of 5 keyboards, namely \textit{Own (participant's own keyboard)}, \textit{Nyx
(35 g, uniform), Aphrodite (50 g, uniform), Athena (80 g uniform)} and (35\,g, uniform), Aphrodite (50\,g, uniform), Athena (80\,g uniform)} and
\textit{Hera (35 g - 60 g, adjusted)} (Table \ref{tbl:kb_pseudo}). As described \textit{Hera (35\,g - 60\,g, adjusted)} (Table \ref{tbl:kb_pseudo}). As described
in Section \ref{sec:main_keyboards}, the order of the keyboards \textit{Nyx, in Section \ref{sec:main_keyboards}, the order of the keyboards \textit{Nyx,
Aphrodite, Athena} and \textit{Hera} was counterbalanced with the help of a Aphrodite, Athena} and \textit{Hera} was counterbalanced with the help of a
balanced latin square to reduce order effects. The keyboard \textit{Own} was balanced latin square to reduce order effects. The keyboard \textit{Own} was
@ -566,4 +568,4 @@ necessary data for the design of the adjusted keyboard layout. Throughout the
main user study, where we compared five different keyboards, we were able to main user study, where we compared five different keyboards, we were able to
obtain various qualitative and quantitative data regarding performance and obtain various qualitative and quantitative data regarding performance and
satisfaction. The statistical evaluation of this data will be presented in the satisfaction. The statistical evaluation of this data will be presented in the
next Section. next sections.

@ -15,7 +15,7 @@ tests \cite{field_stats, downey_stats}. The reliability of the two sub-scales
(hedonic and pragmatic quality) in the \glsfirst{UEQ-S} was estimated using (hedonic and pragmatic quality) in the \glsfirst{UEQ-S} was estimated using
\textit{Cronbach's alpha} \cite{tavakol_cronbachs_alpha}. All results are \textit{Cronbach's alpha} \cite{tavakol_cronbachs_alpha}. All results are
reported statistically significant with an $\alpha$-level of $p < 0.05$. We used reported statistically significant with an $\alpha$-level of $p < 0.05$. We used
95\% confidence intervals when presenting certain results. Normality of data or 95\,\% confidence intervals when presenting certain results. Normality of data or
residuals was checked using visual assessment of \gls{Q-Q} plots and residuals was checked using visual assessment of \gls{Q-Q} plots and
additionally \textit{Shapiro-Wilk} Test. Further, we used \textit{Mauchly's Test additionally \textit{Shapiro-Wilk} Test. Further, we used \textit{Mauchly's Test
for Sphericity} to evaluate if there was statistically significant variation for Sphericity} to evaluate if there was statistically significant variation
@ -95,13 +95,13 @@ can be observed in Table \ref{tbl:res_own_before_after}.
We also evaluated the means of \glsfirst{KCQ} questions 8 to 12 which concerned We also evaluated the means of \glsfirst{KCQ} questions 8 to 12 which concerned
perceived fatigue in fingers, wrists, arms, shoulders and neck respectively perceived fatigue in fingers, wrists, arms, shoulders and neck respectively
(7-point Likert scale) and the slopes (improving, deteriorating, stable) of the (7-point Likert scale) and the slopes (improving, deteriorating, stable) of the
UX-curves drawn by each participant after the whole experiment, to identify \gls{UX Curve}s drawn by each participant after the whole experiment, to identify
possible differences in perceived fatigue from T0\_1 to T0\_2. As shown in possible differences in perceived fatigue from T0\_1 to T0\_2. As shown in
Figure \ref{fig:res_own_per_fat}, participants \gls{KCQ} reported slight Figure \ref{fig:res_own_per_fat}, participants \gls{KCQ} reported slight
improvements in terms of finger (diff = 0.33) and wrist (diff = 0.33) fatigue in improvements in terms of finger (diff = 0.33) and wrist (diff = 0.33) fatigue in
T0\_2 compared to T0\_1, no difference in arm fatigue (diff = 0) and very T0\_2 compared to T0\_1, no difference in arm fatigue (diff = 0) and very
slightly increased fatigue in shoulder (diff = -0.12) and neck (diff = -0.13) in slightly increased fatigue in shoulder (diff = -0.12) and neck (diff = -0.13) in
T0\_2 compared to T0\_1. Sixteen of the twenty-four UX-curves regarding overall T0\_2 compared to T0\_1. Sixteen of the twenty-four \gls{UX Curve}s regarding overall
perceived fatigue had positive slope when measured from start of T0\_1 to end of perceived fatigue had positive slope when measured from start of T0\_1 to end of
T0\_2 ($\pm$ 1 mm). The subjective reports about the decrease in finger and T0\_2 ($\pm$ 1 mm). The subjective reports about the decrease in finger and
wrist fatigue emphasize the decrease in muscle activity for the flexor muscles wrist fatigue emphasize the decrease in muscle activity for the flexor muscles
@ -112,7 +112,7 @@ we described in the last paragraph.
\includegraphics[width=1.0\textwidth]{images/res_own_per_fat} \includegraphics[width=1.0\textwidth]{images/res_own_per_fat}
\caption{Trends for reported fatigue through the \gls{KCQ} (questions 8: \caption{Trends for reported fatigue through the \gls{KCQ} (questions 8:
finger, 9: wrist, 10: arm, 11: shoulder, 12: neck) and histogram for the finger, 9: wrist, 10: arm, 11: shoulder, 12: neck) and histogram for the
slopes (IM: improving, DE: deteriorating, ST: stable) of UX-curves slopes (IM: improving, DE: deteriorating, ST: stable) of \gls{UX Curve}s
concerning perceived fatigue. The curves were evaluated by looking at the y concerning perceived fatigue. The curves were evaluated by looking at the y
value of the starting point for T0\_1 and comparing it to y value of the end value of the starting point for T0\_1 and comparing it to y value of the end
point for T0\_2 with a margin of $\pm$ 1 mm} point for T0\_2 with a margin of $\pm$ 1 mm}
@ -144,12 +144,12 @@ relevant results of the post-hoc tests and the summary of the performance data
can be observed in Tables \ref{tbl:sum_tkbs_speed} and can be observed in Tables \ref{tbl:sum_tkbs_speed} and
\ref{tbl:res_tkbs_speed}. We further examined, which of the four test keyboard \ref{tbl:res_tkbs_speed}. We further examined, which of the four test keyboard
was the fastest for each participant and found, that \textit{Hera} was the was the fastest for each participant and found, that \textit{Hera} was the
fastest keyboard in terms of \gls{WPM} for 46\% (11) of the twenty-four fastest keyboard in terms of \gls{WPM} for 46\,\% (11) of the twenty-four
subjects. Additionally, we analyzed the \gls{WPM} percentage of \textit{Own} subjects. Additionally, we analyzed the \gls{WPM} percentage of \textit{Own}
(\gls{OPC}) for all test keyboards to figure out, which keyboard exceeded the (\gls{OPC}) for all test keyboards to figure out, which keyboard exceeded the
performance of the participant's own keyboard. We found, that three subjects performance of the participant's own keyboard. We found, that three subjects
reached \gls{OPC}\_\gls{WPM} values greater than 100\% with all four test reached \gls{OPC}\_\gls{WPM} values greater than 100\,\% with all four test
keyboards. Also, \textit{Athena, Aphrodite} and \textit{Hera} exceeded 100\% of keyboards. Also, \textit{Athena, Aphrodite} and \textit{Hera} exceeded 100\,\% of
\gls{OPC}\_\gls{WPM} eight, seven and six times respectively. Detailed results \gls{OPC}\_\gls{WPM} eight, seven and six times respectively. Detailed results
are presented in Figure \ref{fig:max_opc_wpm}. are presented in Figure \ref{fig:max_opc_wpm}.
@ -230,7 +230,7 @@ are presented in Figure \ref{fig:max_opc_wpm}.
\includegraphics[width=1.0\textwidth]{images/max_opc_wpm} \includegraphics[width=1.0\textwidth]{images/max_opc_wpm}
\caption{The left graph shows the fastest keyboard in terms of \gls{WPM} for \caption{The left graph shows the fastest keyboard in terms of \gls{WPM} for
each participant. The right graph shows, which keyboards were even faster each participant. The right graph shows, which keyboards were even faster
than the participant's own keyboard (\gls{OPC}\_\gls{WPM} > 100\%)} than the participant's own keyboard (\gls{OPC}\_\gls{WPM} > 100\,\%)}
\label{fig:max_opc_wpm} \label{fig:max_opc_wpm}
\end{figure} \end{figure}
@ -247,7 +247,7 @@ conduct the analysis. The Friedman's Tests for \gls{TER} ($\chi^2$(3) = 25.4, p
(\gls{GG})) revealed differences for at least two test keyboards. The Friedman's (\gls{GG})) revealed differences for at least two test keyboards. The Friedman's
Test for \gls{UER} ($\chi^2$(3) = 2.59, p = 0.46) yielded no statistical Test for \gls{UER} ($\chi^2$(3) = 2.59, p = 0.46) yielded no statistical
significant difference. It should be noted, that the 90th percentile of significant difference. It should be noted, that the 90th percentile of
\gls{UER} for all keyboards was still below 1\%. Summaries for the individual \gls{UER} for all keyboards was still below 1\,\%. Summaries for the individual
metrics and results for all post-hoc tests can be seen in Table metrics and results for all post-hoc tests can be seen in Table
\ref{tbl:sum_tkbs_err} and \ref{tbl:res_tkbs_err}. Furthermore, we compared the \ref{tbl:sum_tkbs_err} and \ref{tbl:res_tkbs_err}. Furthermore, we compared the
\gls{TER} of all test keyboards for each participant and found, that \gls{TER} of all test keyboards for each participant and found, that
@ -341,7 +341,7 @@ to \textit{Own} (\gls{OPC}). All data can be observed in Figure
\includegraphics[width=1.0\textwidth]{images/max_opc_ter} \includegraphics[width=1.0\textwidth]{images/max_opc_ter}
\caption{The left graph shows the keyboard with the lowest \gls{TER} for each \caption{The left graph shows the keyboard with the lowest \gls{TER} for each
participant. The right graph shows, which keyboards were more accurate than participant. The right graph shows, which keyboards were more accurate than
the participant's own keyboard (\gls{OPC}\_\gls{TER} < 100\%)} the participant's own keyboard (\gls{OPC}\_\gls{TER} < 100\,\%)}
\label{fig:max_opc_ter} \label{fig:max_opc_ter}
\end{figure} \end{figure}
@ -366,11 +366,11 @@ test keyboards of the mean values for both typing tests combined can be observed
in Table \ref{tbl:sum_tkbs_emg}. Lastly, we created histograms (Figure in Table \ref{tbl:sum_tkbs_emg}. Lastly, we created histograms (Figure
\ref{fig:max_emg_tkbs}) for each of the observed muscle groups, that show the \ref{fig:max_emg_tkbs}) for each of the observed muscle groups, that show the
number of times a keyboard yielded the highest \%\gls{MVC} out of all keyboards number of times a keyboard yielded the highest \%\gls{MVC} out of all keyboards
for each participant. We found, that \textit{Athena} most frequently ($\approx$45\%) for each participant. We found, that \textit{Athena} most frequently ($\approx$45\,\%)
produced the highest extensor muscle activity for both arms. The highest muscle produced the highest extensor muscle activity for both arms. The highest muscle
activity for both flexor muscle groups was evenly distributed among all test activity for both flexor muscle groups was evenly distributed among all test
keyboards with a slight exception of \textit{Nyx}, which produced the highest keyboards with a slight exception of \textit{Nyx}, which produced the highest
\%\gls{MVC} only in ~14\% of participants. \%\gls{MVC} only in ~14\,\% of participants.
\begin{figure}[H] \begin{figure}[H]
\centering \centering
@ -518,7 +518,7 @@ Table \ref{tbl:res_kcq}.
\end{table} \end{table}
\subsubsection{User Experience Questionnaire (Short)} \subsubsection{User Experience Questionnaire (Short)}
\label{sec:res_ueqs} \label{sec:res_ueqs}
Additionally to the \gls{KCQ} we utilized the \glsfirst{UEQ-S}. It featured In addition to to the \gls{KCQ}, we utilized the \glsfirst{UEQ-S}. It featured
eight questions on a 7-point Likert scale, which formed two scales (pragmatic, eight questions on a 7-point Likert scale, which formed two scales (pragmatic,
hedonic). Additionally we added one extra question that could be answered on a hedonic). Additionally we added one extra question that could be answered on a
\glsfirst{VAS} from 0 to 100. The survey was filled out after both tests with a \glsfirst{VAS} from 0 to 100. The survey was filled out after both tests with a
@ -596,7 +596,7 @@ observed in Tables \ref{tbl:res_tkbs_sati} and \ref{tbl:sum_tkbs_sati}.
towards significance are denoted with $\dagger$. Confidence intervals are towards significance are denoted with $\dagger$. Confidence intervals are
given for the difference of the location parameter. We only tested keyboards given for the difference of the location parameter. We only tested keyboards
with lower actuation force against keyboards with higher actuation with lower actuation force against keyboards with higher actuation
force. The first comparison of Aphrodite (50 g) and Nyx (35 g) was added, force. The first comparison of Aphrodite (50\,g) and Nyx (35\,g) was added,
because of the noticeable differences in the visual assessment of Figure because of the noticeable differences in the visual assessment of Figure
\ref{fig:res_tkbs_sati}} \ref{fig:res_tkbs_sati}}
\label{tbl:res_tkbs_sati} \label{tbl:res_tkbs_sati}
@ -637,7 +637,7 @@ observed in Tables \ref{tbl:res_tkbs_sati} and \ref{tbl:sum_tkbs_sati}.
\label{sec:res_uxc} \label{sec:res_uxc}
In order to give all participants the chance to recapitulate the whole In order to give all participants the chance to recapitulate the whole
experiment and give retrospective feedback about each individual keyboard, we experiment and give retrospective feedback about each individual keyboard, we
conducted a semi-structured interview which included drawing UX-curves for conducted a semi-structured interview which included drawing \gls{UX Curve}s for
perceived fatigue and perceived typing speed. We evaluated the curves by perceived fatigue and perceived typing speed. We evaluated the curves by
measuring the y position of the \gls{SP} for a curve and the y position of the measuring the y position of the \gls{SP} for a curve and the y position of the
respective \gls{EP} an determine the slope of that curve. Slopes are defined as respective \gls{EP} an determine the slope of that curve. Slopes are defined as
@ -655,7 +655,7 @@ participants own keyboard was four times more often placed first than any other
keyboard. \textit{Hera} was the only keyboard, that never got placed fifth and keyboard. \textit{Hera} was the only keyboard, that never got placed fifth and
except for \textit{Own}, was the most represented keyboard in the top three. The except for \textit{Own}, was the most represented keyboard in the top three. The
ranking of the perceived actuation force revealed, that participants were able ranking of the perceived actuation force revealed, that participants were able
to identify \textit{Nyx} (35 g) and \textit{Athena} (80 g) as the keyboards with to identify \textit{Nyx} (35\,g) and \textit{Athena} (80\,g) as the keyboards with
the lowest and highest actuation force respectively. All results for both the lowest and highest actuation force respectively. All results for both
rankings are visualized in Figure \ref{fig:res_interview}. Lastly, we analyzed rankings are visualized in Figure \ref{fig:res_interview}. Lastly, we analyzed
the recordings of all interviews and found several similar statements about the recordings of all interviews and found several similar statements about
@ -674,7 +674,7 @@ which could be related to a comment of two subjects―\textit{``It felt very
\begin{figure}[H] \begin{figure}[H]
\centering \centering
\includegraphics[width=1.0\textwidth]{images/res_uxc} \includegraphics[width=1.0\textwidth]{images/res_uxc}
\caption{\centering Evaluation of UX-curve slopes for perceived fatigue and perceived \caption{\centering Evaluation of \gls{UX Curve} slopes for perceived fatigue and perceived
speed. \\ speed. \\
\textit{DE:} deteriorating, \textit{IM:} improving, \textit{ST:} stable} \textit{DE:} deteriorating, \textit{IM:} improving, \textit{ST:} stable}
\label{fig:res_uxc} \label{fig:res_uxc}

@ -12,19 +12,19 @@ question \textit{``Does an adjusted actuation force per key have a positive
Our main experiment yielded, that there are differences in typing speed for both Our main experiment yielded, that there are differences in typing speed for both
metrics related to transcribed text we measured―namely \glsfirst{WPM} and metrics related to transcribed text we measured―namely \glsfirst{WPM} and
\glsfirst{AdjWPM}. Especially the keyboard with the lowest uniform actuation \glsfirst{AdjWPM}. Especially the keyboard with the lowest uniform actuation
force of 35 g―\textit{Nyx}―performed worse than all other keyboards. In terms of force of 35\,g―\textit{Nyx}―performed worse than all other keyboards. In terms
\gls{WPM}, \textit{Nyx (35 g)} was on average 4.1\% slower than \textit{Athena of \gls{WPM}, \textit{Nyx (35\,g)} was on average 4.1\,\% slower than
(80 g)} and \textit{Aphrodite (50 g)} and 4.8\% slower than the adjusted \textit{Athena (80\,g)} and \textit{Aphrodite (50\,g)} and 4.8\,\% slower than the
keyboard \textit{Hera (35 - 60 g)}. Similarly, for \gls{AdjWPM}, \textit{Nyx} adjusted keyboard \textit{Hera (35 - 60\,g)}. Similarly, for \gls{AdjWPM},
was 4.3\% slower than \textit{Athena} and \textit{Aphrodite} and 4.9\% slower \textit{Nyx} was 4.3\,\% slower than \textit{Athena} and \textit{Aphrodite} and
than \textit{Hera}. The 4\% to 5\% difference in \gls{WPM} and \gls{AdjWPM} in 4.9\,\% slower than \textit{Hera}. The 4\,\% to 5\,\% difference in \gls{WPM} and
our sample account for approximately 2 words per minute. When extrapolated with \gls{AdjWPM} in our sample account for approximately 2 words per minute. When
the mean daily keyboard usage of 6.69 hours reported by our participants, this extrapolated with the mean daily keyboard usage of 6.69 hours reported by our
difference would be as big as 803 words, which when put into perspective, is participants, this difference would be as big as 803 words, which when put into
equivalent to roughly two full pages of only written content (11pt font perspective, is equivalent to roughly two full pages of only written content
size). Although, this specific example would assume constant typing for 6.69 (11pt font size). Although, this specific example would assume constant typing
hours, it is still a useful estimate of the loss in productivity under normal for 6.69 hours, it is still a useful estimate of the loss in productivity under
working conditions over the course of several days. These differences in normal working conditions over the course of several days. These differences in
\gls{WPM} and \gls{AdjWPM} could be explained by the higher error rates and \gls{WPM} and \gls{AdjWPM} could be explained by the higher error rates and
thereby the loss of ``typing flow'' we discuss in the next section. \gls{KSPS} thereby the loss of ``typing flow'' we discuss in the next section. \gls{KSPS}
reflects the raw input speed by including backspaces and previously deleted reflects the raw input speed by including backspaces and previously deleted
@ -32,10 +32,10 @@ characters. The reason we included \gls{KSPS} in our analysis was to reveal
possible differences in the physical speed participants type on a keyboard and possible differences in the physical speed participants type on a keyboard and
not to further asses speed in the sense of productivity. We could not find any not to further asses speed in the sense of productivity. We could not find any
statistically significant differences in \gls{KSPS} but saw a trend, indicating statistically significant differences in \gls{KSPS} but saw a trend, indicating
that subjects typed a bit slower (< 3\%) on \textit{Athena (80 g)} compared to that subjects typed a bit slower (< 3\,\%) on \textit{Athena (80\,g)} compared to
\textit{Aphrodite (50 g)} and \textit{Hera (35 - 60 g)}. With the differences in \textit{Aphrodite (50\,g)} and \textit{Hera (35 - 60\,g)}. With the differences
metrics that are commonly used to measure typing speed more closely related to in metrics that are commonly used to measure typing speed more closely related
productivity (\gls{WPM}, \gls{AdjWPM}) and the trends that indicate a slight to productivity (\gls{WPM}, \gls{AdjWPM}) and the trends that indicate a slight
difference in operating speed we could have accepted our hypothesis. However, difference in operating speed we could have accepted our hypothesis. However,
with the relation between error rate and typing speed described in the next with the relation between error rate and typing speed described in the next
section and the thereby rather indirect effect of the actuation force, we can section and the thereby rather indirect effect of the actuation force, we can
@ -46,7 +46,7 @@ force, has an impact on typing speed.
Actuation force has an impact on typing speed (efficiency - speed). Actuation force has an impact on typing speed (efficiency - speed).
\end{phga_hyp*} \end{phga_hyp*}
% During our telephone interviews 76\% of respondents would have preferred a % During our telephone interviews 76\,\% of respondents would have preferred a
% keyboard with lighter actuation force. % keyboard with lighter actuation force.
% Our study tried to present the participant with a typing scenario that is as % Our study tried to present the participant with a typing scenario that is as
@ -58,16 +58,16 @@ force, has an impact on typing speed.
As already briefly mentioned in Section \ref{sec:dis_speed}, measured error As already briefly mentioned in Section \ref{sec:dis_speed}, measured error
rates like \glsfirst{UER}, \glsfirst{CER} and \glsfirst{TER} differed especially rates like \glsfirst{UER}, \glsfirst{CER} and \glsfirst{TER} differed especially
between \textit{Nyx (35 g)} and the other test keyboards. The statistical between \textit{Nyx (35\,g)} and the other test keyboards. The statistical
analyses further revealed, that \textit{Athena}, the keyboard with the highest analyses further revealed, that \textit{Athena}, the keyboard with the highest
actuation force of 80 g, produced on average 1\% less \gls{TER} than actuation force of 80\,g, produced on average 1\,\% less \gls{TER} than
\textit{Hera (35 - 60 g)} and \textit{Aphrodite (50 g)} and 3\% less than \textit{Hera (35 - 60\,g)} and \textit{Aphrodite (50\,g)} and 3\,\% less than
\textit{Nyx (35g)}. Furthermore, \textit{Hera} and \textit{Aphrodite} both had a \textit{Nyx (35\,g)}. Furthermore, \textit{Hera} and \textit{Aphrodite} both had a
2\% lower \gls{TER} than \textit{Nyx}. Additionally to the quantitative results, 2\,\% lower \gls{TER} than \textit{Nyx}. Additionally to the quantitative results,
fourteen of the twenty-four participants also reported, that \textit{Nyx's} fourteen of the twenty-four participants also reported, that \textit{Nyx's}
light actuation force was the reason for many accidental key presses. It further light actuation force was the reason for many accidental key presses. It further
stood out, that as shown in Figure \ref{fig:max_opc_ter}, \textit{Athena} was stood out, that as shown in Figure \ref{fig:max_opc_ter}, \textit{Athena} was
the most accurate keyboard for 58\% of participants and also more accurate than the most accurate keyboard for 58\,\% of participants and also more accurate than
keyboard \textit{Own} for eleven of the subjects. Overall, this concludes, that keyboard \textit{Own} for eleven of the subjects. Overall, this concludes, that
a higher actuation force has a positive impact on error rate. a higher actuation force has a positive impact on error rate.
@ -131,7 +131,7 @@ significant differences for any of the test keyboards regarding the pragmatic
scale of the \gls{UEQ-S}. From visual assessment of the graph shown in Figure scale of the \gls{UEQ-S}. From visual assessment of the graph shown in Figure
\ref{fig:ueq_tkbs_res} we could conclude, that there is a slight trend towards a \ref{fig:ueq_tkbs_res} we could conclude, that there is a slight trend towards a
more positive rating for keyboards that utilized keyswitches with higher more positive rating for keyboards that utilized keyswitches with higher
actuation forces than \textit{Nyx (35 g)}. This trend in the opposite direction actuation forces than \textit{Nyx (35\,g)}. This trend in the opposite direction
of our hypothesized outcome, that lighter actuation force leads to more user of our hypothesized outcome, that lighter actuation force leads to more user
satisfaction, could be due to the longer familiarization time required for satisfaction, could be due to the longer familiarization time required for
keyboards with very light actuation force \cite{gerard_keyswitch}. keyboards with very light actuation force \cite{gerard_keyswitch}.
@ -141,10 +141,10 @@ keyboards with very light actuation force \cite{gerard_keyswitch}.
The results deduced from the additional question \textit{``How satisfied have The results deduced from the additional question \textit{``How satisfied have
you been with this keyboard?''}, which could be answered on a \glsfirst{VAS} you been with this keyboard?''}, which could be answered on a \glsfirst{VAS}
from 0 to 100 after both tying tests with a keyboard, suggested that \textit{Nyx from 0 to 100 after both tying tests with a keyboard, suggested that \textit{Nyx
(35 g)}, the keyboard with the lightest actuation force and also (35\,g)}, the keyboard with the lightest actuation force and also
\textit{Athena (80 g)} the keyboard with the highest actuation force, were rated \textit{Athena (80\,g)} the keyboard with the highest actuation force, were rated
significantly worse than \textit{Aphrodite (50 g)}. Additionally, \textit{Hera significantly worse than \textit{Aphrodite (50\,g)}. Additionally, \textit{Hera
(35 - 60 g)}, the adjusted keyboard showed a trend towards a significantly (35 - 60\,g)}, the adjusted keyboard showed a trend towards a significantly
better rating than \textit{Nyx}. These results indicate, that neither of the better rating than \textit{Nyx}. These results indicate, that neither of the
keyboards with extreme actuation forces were perceived as a overwhelmingly keyboards with extreme actuation forces were perceived as a overwhelmingly
pleasant keyboard to use during our typing tests. This is further supported by pleasant keyboard to use during our typing tests. This is further supported by
@ -156,15 +156,15 @@ the average ratings for \textit{Aphrodite} and \textit{Hera} were approximately
For the \gls{KCQ} we found several statistically significant differences. For For the \gls{KCQ} we found several statistically significant differences. For
questions related to effort or fatigue while operating a keyboard, questions related to effort or fatigue while operating a keyboard,
\textit{Athena (80 g)} received significantly lower ratings than the other test \textit{Athena (80\,g)} received significantly lower ratings than the other test
keyboards. Additionally to the measured differences in error rates discussed in keyboards. Additionally to the measured differences in error rates discussed in
Section \ref{sec:dis_error}, we discovered that participants also perceived the Section \ref{sec:dis_error}, we discovered that participants also perceived the
accuracy of \textit{Athena (80 g)} and \textit{Aphrodite (50 g)} higher compared accuracy of \textit{Athena (80\,g)} and \textit{Aphrodite (50\,g)} higher compared
to \textit{Nyx (35 g)}. Similarly to the results discussed in the last to \textit{Nyx (35\,g)}. Similarly to the results discussed in the last
paragraph, the scores of the two keyboards with extreme actuation forces, paragraph, the scores of the two keyboards with extreme actuation forces,
\textit{Nyx (35 g)} and \textit{Athena (80 g)} fluctuated quite a bit and on \textit{Nyx (35\,g)} and \textit{Athena (80\,g)} fluctuated quite a bit and on
average those two keyboards scored lower than \textit{Aphrodite (50 g)} or average those two keyboards scored lower than \textit{Aphrodite (50\,g)} or
\textit{Hera (35 - 60 g)} (Figure \ref{fig:kcq_tkbs_res}). Thereby, these \textit{Hera (35 - 60\,g)} (Figure \ref{fig:kcq_tkbs_res}). Thereby, these
results do not indicate a clear trend towards enhanced user experience when results do not indicate a clear trend towards enhanced user experience when
using keyboards with lower actuation forces. using keyboards with lower actuation forces.
@ -194,7 +194,7 @@ Figure \ref{fig:ratio_interview}, to evaluate preferences towards specific
keyboards, that could not be expressed by our participants through any other keyboards, that could not be expressed by our participants through any other
supplied method during the experiment. Like all other factors we identified as supplied method during the experiment. Like all other factors we identified as
reasonable indicators for satisfaction, these ratios yielded, that neither reasonable indicators for satisfaction, these ratios yielded, that neither
\textit{Athena (80 g)} nor \textit{Nyx (35 g)} received more positive than \textit{Athena (80\,g)} nor \textit{Nyx (35\,g)} received more positive than
negative feedback. It should be noted, that previous research has shown that negative feedback. It should be noted, that previous research has shown that
people tend to remember and process bad experiences more thorough than good people tend to remember and process bad experiences more thorough than good
ones, which could be a reason for the increased number of negative feedback for ones, which could be a reason for the increased number of negative feedback for
@ -211,13 +211,13 @@ those two keyboards \cite{baumeister_bad}.
\textbf{Conclusion} \textbf{Conclusion}
Contrary to the responses of our preliminary telephone interview, where 76\% of Contrary to the responses of our preliminary telephone interview, where 76\,\% of
attendees preferred a keyboard with light actuation force, none of the factors attendees preferred a keyboard with light actuation force, none of the factors
we defined as relevant for user satisfaction suggests, that keyboards with lower we defined as relevant for user satisfaction suggests, that keyboards with lower
actuation force are more satisfactory to use than keyboards with higher actuation force are more satisfactory to use than keyboards with higher
actuation force. Therefore, we have to fully reject our hypothesis. We can actuation force. Therefore, we have to fully reject our hypothesis. We can
conclude thought, that keyboards with actuation forces in between those two conclude thought, that keyboards with actuation forces in between those two
extremes (35 g / 80 g), are persistently perceived as more pleasant to use and extremes (35\,g / 80\,g), are persistently perceived as more pleasant to use and
that ratings keyboards with extreme actuation forces are highly influenced by that ratings keyboards with extreme actuation forces are highly influenced by
personal preference, which is indicated by the high fluctuation of almost all personal preference, which is indicated by the high fluctuation of almost all
responses regarding our evaluated factors. responses regarding our evaluated factors.
@ -232,7 +232,7 @@ responses regarding our evaluated factors.
In contrast to other studies that suggested, that actuation force has an impact In contrast to other studies that suggested, that actuation force has an impact
on muscle activity, we could not identify significant differences in terms of \% on muscle activity, we could not identify significant differences in terms of \%
of \glsfirst{MVC} for any of our \gls{EMG} measurements. Only a slight trend, of \glsfirst{MVC} for any of our \gls{EMG} measurements. Only a slight trend,
that \textit{Nyx (35 g)} produced the highest flexor \%\gls{MVC} for only 14\% that \textit{Nyx (35\,g)} produced the highest flexor \%\gls{MVC} for only 14\,\%
of participants, could be interpreted as anecdotal evidence towards our of participants, could be interpreted as anecdotal evidence towards our
hypothesis, that actuation force has an impact on muscle activity. Therefore we hypothesis, that actuation force has an impact on muscle activity. Therefore we
have to reject our hypothesis. have to reject our hypothesis.
@ -256,7 +256,7 @@ perceived as equivalent to the participant's own keyboard. In fact,
\textit{Hera} was the keyboard with the most occurrences in the top three, tied \textit{Hera} was the keyboard with the most occurrences in the top three, tied
first place with \textit{Aphrodite} and was never ranked 4th place during the first place with \textit{Aphrodite} and was never ranked 4th place during the
post-experiment interview (Figure \ref{fig:tkbs_ranking}). Since \textit{Hera}, post-experiment interview (Figure \ref{fig:tkbs_ranking}). Since \textit{Hera},
among others, utilized keyswitches with light actuation force (35 g), the among others, utilized keyswitches with light actuation force (35\,g), the
satisfaction could improve during prolonged usage, because of the longer satisfaction could improve during prolonged usage, because of the longer
familiarization period required by keyboards with lighter actuation forces familiarization period required by keyboards with lighter actuation forces
\cite{gerard_keyswitch}. Interestingly, participant \textit{I3Z4XI7H} who \cite{gerard_keyswitch}. Interestingly, participant \textit{I3Z4XI7H} who
@ -274,16 +274,16 @@ that an adjusted keyboard is more satisfactory to use than standard keyboards.
to standard keyboards. to standard keyboards.
\end{phga_hyp*} \end{phga_hyp*}
Similarly, the resulting error rates measured for \textit{Hera (35 - 60 g)} were Similarly, the resulting error rates measured for \textit{Hera (35 - 60\,g)} were
close to equal to the results of \textit{Aphrodite (50 g)} and for speed related close to equal to the results of \textit{Aphrodite (50\,g)} and for speed related
metrics between those two keyboards only slight improvements while using metrics between those two keyboards only slight improvements while using
\textit{Hera} in \gls{WPM} (0.8\%), \gls{AdjWPM} (0.6\%) and \gls{KSPS} (1\%)― \textit{Hera} in \gls{WPM} (0.8\,\%), \gls{AdjWPM} (0.6\,\%) and \gls{KSPS} (1\,\%)―
that were not statistically significant―were recorded during our experiment. It that were not statistically significant―were recorded during our experiment. It
was still interesting to see, that \textit{Hera} was the fastest, out of all was still interesting to see, that \textit{Hera} was the fastest, out of all
four test keyboards, for eleven (45\%) out of the twenty-four subjects and that four test keyboards, for eleven (45\,\%) out of the twenty-four subjects and that
albeit the usage of 30\% keyswitches\footnote{That were actually pressed during albeit the usage of 30\,\% keyswitches\footnote{That were actually pressed during
our typing tests} that required 35 - 40 g actuation force, which is similar to our typing tests} that required 35 - 40\,g actuation force, which is similar to
the actuation force of \textit{Nyx (35 g)}, we did not see comparably high error the actuation force of \textit{Nyx (35\,g)}, we did not see comparably high error
rates. Because of the lacking evidence, that an adjusted keyboard produces less rates. Because of the lacking evidence, that an adjusted keyboard produces less
errors or supports the typist in achieving higher typing speeds, we have to errors or supports the typist in achieving higher typing speeds, we have to
reject our two hypotheses regarding those improvements. reject our two hypotheses regarding those improvements.
@ -299,7 +299,7 @@ reject our two hypotheses regarding those improvements.
\end{phga_hyp*} \end{phga_hyp*}
Our experiment basically revealed, that keyboards which utilized keyswitches Our experiment basically revealed, that keyboards which utilized keyswitches
with actuation forces that were neither to light (35 g) nor to heavy (80 g), with actuation forces that were neither too light (35\,g) nor too heavy (80\,g),
generally outperformed keyboards which featured those extreme actuation generally outperformed keyboards which featured those extreme actuation
forces. In the following section, we elaborate on possible limitations of our forces. In the following section, we elaborate on possible limitations of our
experimental design and future research that could be reasonable to further experimental design and future research that could be reasonable to further

@ -13,7 +13,7 @@ on typing speed, error rate and satisfaction revealed, that higher actuation
forces reduce error rates compared to lower actuation forces and that the typing forces reduce error rates compared to lower actuation forces and that the typing
speed is also influenced, \textbf{at least indirectly}, by differences in speed is also influenced, \textbf{at least indirectly}, by differences in
actuation force. Especially the keyboard with very low actuation force, actuation force. Especially the keyboard with very low actuation force,
\textit{Nyx (35 g)}, which also had the highest average error rate was \textit{Nyx (35\,g)}, which also had the highest average error rate was
significantly slower than all other keyboards. Therefore, we investigated, if significantly slower than all other keyboards. Therefore, we investigated, if
there is a connection between high error rates and stagnating typing speed and there is a connection between high error rates and stagnating typing speed and
found, that in general, the error rate was a factor for lower input found, that in general, the error rate was a factor for lower input
@ -21,16 +21,16 @@ rates. Neither the satisfaction nor the muscle activity was significantly
influenced solely by the actuation. influenced solely by the actuation.
In conclusion, our study showed, that the keyboard with non-uniform actuation In conclusion, our study showed, that the keyboard with non-uniform actuation
forces―\textit{Hera (35 - 60 g)}―was not able to improve the overall typing forces―\textit{Hera (35 - 60\,g)}―was not able to improve the overall typing
experience significantly enough to supersede existing designs, but was still a experience significantly enough to supersede existing designs, but was still a
viable alternative to all traditional keyboards we tested. It could be possible, viable alternative to all traditional keyboards we tested. It could be possible,
that due to the unconventional force distribution, that similar to keyboards that due to the unconventional force distribution, that is similar to keyboards
with very light actuation force, the muscle activity while using \textit{Hera} with very light actuation force, the muscle activity while using \textit{Hera}
could decrease when users are given more time to adapt to this keyboard could decrease when users are given more time to adapt to this keyboard
\cite{gerard_keyswitch}. Additionally, we found that keyboards with either very \cite{gerard_keyswitch}. Additionally, we found that keyboards with either very
high (80 g) or very low (35 g) actuation forces had the most influence on typing high (80\,g) or very low (35\,g) actuation forces had the most influence on typing
related metrics, when compared to the more commonly sold keyboards with around related metrics, when compared to the more commonly sold keyboards with around
50 g to 60 g actuation force. In the next sections we identify possible 50\,g to 60\,g actuation force. In the next sections we identify possible
limitations and propose some ideas on how to reevaluate custom keyboard designs limitations and propose some ideas on how to reevaluate custom keyboard designs
in future studies. in future studies.
@ -45,7 +45,7 @@ the researcher was in the same room, the limited time for the individual typing
tests and the rather short breaks in between typing tests, could have influenced tests and the rather short breaks in between typing tests, could have influenced
some subjects by inducing unnecessary stress. Another limitation related to the some subjects by inducing unnecessary stress. Another limitation related to the
preliminary finger strength study, was the very small number of participants (n preliminary finger strength study, was the very small number of participants (n
= 6). Although we measured the finger strengths in different positions for 50\% = 6). Although we measured the finger strengths in different positions for 50\,\%
female and male participants, the age distribution was not diverse (M = 24) and female and male participants, the age distribution was not diverse (M = 24) and
with a higher number of subjects, the results would have been much more with a higher number of subjects, the results would have been much more
reliable. Similarly, the number and diversity in occupation of participants reliable. Similarly, the number and diversity in occupation of participants
@ -62,8 +62,8 @@ We propose, that in further research related to keyboards with non-uniform
actuation force (adjusted keyboards), participants should test several different actuation force (adjusted keyboards), participants should test several different
adjusted keyboards and the results should be compared to one identical looking adjusted keyboards and the results should be compared to one identical looking
keyboard that utilizes a uniform layout of keyswitches with an actuation force keyboard that utilizes a uniform layout of keyswitches with an actuation force
of 50 g to 65 g. Further, different adjusted layouts, with e.g. higher or lower of 50\,g to 65\,g. Further, different adjusted layouts, with e.g. higher or lower
base actuation force than 50 g could be used to calculate the individual spring base actuation force than 50\,g could be used to calculate the individual spring
resistances used for each key or a similar layout to the one used in resistances used for each key or a similar layout to the one used in
Realforce\footnote{\url{https://www.realforce.co.jp/en/products/}} keyboards, Realforce\footnote{\url{https://www.realforce.co.jp/en/products/}} keyboards,
could be compared to each other. Furthermore, long term studies with adjusted could be compared to each other. Furthermore, long term studies with adjusted

@ -5,9 +5,11 @@
\newacronym{MVC}{MVC}{maximum voluntary contraction} \newacronym{MVC}{MVC}{maximum voluntary contraction}
\newacronym{CTS}{CTS}{Carpal Tunnel Syndrome} \newacronym{CTS}{CTS}{Carpal Tunnel Syndrome}
\newacronym{RSI}{RSI}{Repetitive Strain Injury} \newacronym{RSI}{RSI}{Repetitive Strain Injury}
\newacronym{TNS}{TNS}{Tension Neck Syndrome}
\newacronym{FRE}{FRE}{Flesch Reading Ease Score} \newacronym{FRE}{FRE}{Flesch Reading Ease Score}
\newacronym{VAS}{VAS}{visual analog scale} \newacronym{VAS}{VAS}{visual analog scale}
\newacronym{RMS}{RMS}{root-mean-square} \newacronym{RMS}{RMS}{root-mean-square}
\newacronym{ISO}{ISO}{International Organization for Standardization}
% Mulcles alive p. 189 % Mulcles alive p. 189
% Atlas of Human Anatomy p. 433 % Atlas of Human Anatomy p. 433
\newacronym{FDS}{FDS}{flexor digitorum superficialis} \newacronym{FDS}{FDS}{flexor digitorum superficialis}
@ -45,25 +47,22 @@
\newacronym{EP}{EP}{end point} \newacronym{EP}{EP}{end point}
\newacronym{LRT}{LRT}{Likelihood Ratio Test} \newacronym{LRT}{LRT}{Likelihood Ratio Test}
\newglossaryentry{N}{ \newglossaryentry{N}{
name={N}, name={N},
description={Newton: 1 N $ \approx $ 101.97 g} description={Newton: 1\,N $ \approx $ 101.97\,g}
} }
\newglossaryentry{cN}{ \newglossaryentry{cN}{
name={cN}, name={cN},
description={Centinewton: 1 cN $ \approx $ 1.02 g} description={Centinewton: 1\,cN $ \approx $ 1.02\,g}
} }
\newglossaryentry{g}{ \newglossaryentry{g}{
name={g}, name={g},
description={Gram: 1 g $ \approx $ 0.97 cN} description={Gram: 1\,g $ \approx $ 0.97\,cN}
} }
\newglossaryentry{gf}{ \newglossaryentry{gf}{
name={gf}, name={gf},
description={Gram-force: 1 gf = 1 g} description={Gram-force: 1\,gf = 1\,g}
} }
\newglossaryentry{QWERTY}{ \newglossaryentry{QWERTY}{
name={QWERTY}, name={QWERTY},
@ -76,7 +75,13 @@ description={Keyboard layout commonly used in Germany}
\newglossaryentry{bottoming}{ \newglossaryentry{bottoming}{
name={bottoming out}, name={bottoming out},
description={Describes the scenario when the typist does not release the key before impact with the bottom of the keyswitch is made} description={Describes the scenario, when the typist does not release the key before impact with the bottom of the keyswitch is made}
}
\newglossaryentry{swapped}{
name={hot-swapped},
description={Usually describes the process of replacing a part of a device in a
quick an simple way, without the need to power off the device}
} }
\newglossaryentry{Topre}{ \newglossaryentry{Topre}{
@ -88,3 +93,10 @@ description={Topre switches are keyswitches produced by the Japanese company Top
name={MongoDB}, name={MongoDB},
description={General purpose, document-based database which name originates from the word humongous} description={General purpose, document-based database which name originates from the word humongous}
} }
\newglossaryentry{UX Curve}{
name={UX Curve},
description={A User Experience
Curve is used to assess long-term user experience for a product. Users draw
a curve, that represents a certain experience, positive, neutral or negative, for
a specific product during a time span} }

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