update: we reached the end
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@ -6,22 +6,22 @@ or at home, the keyboard is still, the main input device for almost anyone that
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interacts with a computer. However, at some point, many people experience
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interacts with a computer. However, at some point, many people experience
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discomfort or even pain while using a keyboard because of the many small and
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discomfort or even pain while using a keyboard because of the many small and
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repetitive movements the fingers have to do to operate it. Therefore, in this
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repetitive movements the fingers have to do to operate it. Therefore, in this
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thesis we try to evaluate an alternative, non-uniform keyboard design, where
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thesis we try to evaluate an alternative, non-uniform keyboard design where each
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each individual \textit{mechanical} keyswitch is equipped with a spring, that
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individual \textit{mechanical} keyswitch is equipped with a spring that features
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features a resistance, appropriate for the specific finger usually operating
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a resistance appropriate for the specific finger usually operating it. The idea
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it. The idea behind this adjusted design is to particularly reduce the load on
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behind this adjusted design is to particularly reduce the load on weaker fingers
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weaker fingers and still pertain or even enhance typing
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and still pertain or even enhance typing performance. Additionally, we try to
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performance. Additionally, we try to answer the question, whether or not a
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answer the question, whether or not a keyboard with, per finger, adjusted
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keyboard with, per finger, adjusted actuation force has a positive impact on
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actuation force has a positive impact on efficiency and overall
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efficiency and overall satisfaction. Thus, we evaluated the current availability
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satisfaction. Thus, we evaluated the current availability of resistances for
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of resistances for mechanical keyswitches and conducted a preliminary telephone
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mechanical keyswitches and conducted a preliminary telephone interview (n = 17)
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interview (n = 17) to assess preferences, use-cases and previous experiences
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to assess preferences, use-cases and previous experiences with
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with keyboards. Further, we ran another preliminary experiment, where we
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keyboards. Further, we ran another preliminary experiment, where we measured the
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measured the maximum applicable force for each finger in different positions
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maximum applicable force for each finger in different positions related to
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related to keyboarding as a basis for our adjusted keyboard design. Lastly,
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keyboarding as a basis for our adjusted keyboard design. Lastly, during a three
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during a three week laboratory user study with twenty-four participants, the
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week laboratory user study with twenty-four participants, the adjusted keyboard
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adjusted keyboard design and three traditional keyboards with 35\,g, 50\,g and 80
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design and three traditional keyboards with 35\,g, 50\,g and 80 g actuation
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g actuation force were compared to each other in terms of performance and user
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force were compared to each other in terms of performance and user
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satisfaction. The statistical analysis revealed, that especially error rates are
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satisfaction. The statistical analysis revealed, that especially error rates are
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positively influenced by higher actuation forces and that keyboards with neither
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positively influenced by higher actuation forces and that keyboards with neither
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too heavy nor to light resistance generally perform the best in terms of typing
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too heavy nor to light resistance generally perform the best in terms of typing
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@ -1,4 +1,23 @@
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%----------Danksagung/Acknowledgments--------------------------------------------------------------
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%----------Danksagung/Acknowledgments--------------------------------------------------------------
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\addsec{Acknowledgments}
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\addsec{Acknowledgments}
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Hello (:
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Firstly, I want to thank all the 53 people that either participated in the over
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two hour long main study, the preliminary finger force study, the preliminary
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telephone interview or the crowdsourcing of the required texts for merely a
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thanks or some 3D-printed goodies.
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Furthermore, I want to thank my supervisor Prof. Dr. techn. Priv.-Doz. Andreas
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Riener for his great input and guidance throughout this whole thesis. The always
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fast and candid support regarding all my concerns was highly appreciated!
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Further, I want to thank Prof. Dr. rer. nat. Franz Regensburger for the initial
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feedback about all my ideas for a thesis, which helped me to ultimately decide
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on this topic.
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Additionally, I want to thank Eliis Lohoff, Nikola Brandl and Lukas Hanser for
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proofreading my thesis.
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Moreover, I want thank my girlfriend, mother and grandma for the emotional
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support and all the encouraging words during my whole studies.
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― Philip
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@ -55,7 +55,7 @@ Keyboards are well known input devices used to operate a computer. There are a
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variety of keyboard types and models available on the market, some of which can
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variety of keyboard types and models available on the market, some of which can
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be seen in Figure \ref{fig:keyboard_models}. The obvious difference between
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be seen in Figure \ref{fig:keyboard_models}. The obvious difference between
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those keyboards in Figure \ref{fig:keyboard_models} is their general
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those keyboards in Figure \ref{fig:keyboard_models} is their general
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appearance. The keyboards feature different enclosures and keycaps, which are
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appearance. The keyboards feature different enclosures and keycaps. Keycaps are
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the rectangular pieces of plastic on top of the actual keyswitches that
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the rectangular pieces of plastic on top of the actual keyswitches that
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sometimes indicate what letter, number or symbol, also known as characters, a
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sometimes indicate what letter, number or symbol, also known as characters, a
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keypress should send to the computer. These keycaps are mainly made out of the
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keypress should send to the computer. These keycaps are mainly made out of the
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@ -120,8 +120,8 @@ which sits on top of the spring and separates the two plates. The shape of the
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stem, represented by the enlarged red lines in Figure
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stem, represented by the enlarged red lines in Figure
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\ref{fig:mech_keyswitches_dissas}, defines the haptic feedback produced by the
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\ref{fig:mech_keyswitches_dissas}, defines the haptic feedback produced by the
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keyswitch. When pressure is applied to the keycap, which is connected to the
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keyswitch. When pressure is applied to the keycap, which is connected to the
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stem, the spring gets contracted and the stem moves downwards and thereby stops
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stem, the spring gets contracted and the stem moves downwards. Thereby, it stops
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separating the two plates which closes the electrical circuit and sends a
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separating the two plates, which closes the electrical circuit and sends a
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keypress to the computer. After the key is released, the spring pushes the stem
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keypress to the computer. After the key is released, the spring pushes the stem
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back to its original position \cite{bassett_keycap, peery_3d_keyswitch,
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back to its original position \cite{bassett_keycap, peery_3d_keyswitch,
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ergopedia_keyswitch, chen_mech_switch}. Usually, mechanical keyswitches are
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ergopedia_keyswitch, chen_mech_switch}. Usually, mechanical keyswitches are
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@ -305,12 +305,13 @@ keyboard?.''}
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\subsubsection{Method}
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\subsubsection{Method}
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\label{sec:main_method}
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\label{sec:main_method}
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In our laboratory study, twenty-four participants were required to perform two
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In our laboratory study, twenty-four participants were required to perform two
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typing test with each of the four keyboards provided by us and two extra typing
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typing tests with each of the four keyboards provided by us and two extra typing
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test with their own keyboards as a reference. The four keyboards differed only
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tests with their own keyboards as a reference. The four keyboards differed only
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in actuation force and were the independent variable. The dependent variable
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in actuation force and were the independent variable. The dependent variable
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were, typing speed (\gls{WPM} and \gls{KSPS}), error rate (\gls{CER}, \gls{TER})
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were, typing speed (\gls{WPM} and \gls{KSPS}), error rate (\gls{CER},
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and satisfaction (preference, usability, comfort, forearm muscle activity
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\gls{TER}), forearm muscle activity measured via \gls{EMG} and satisfaction
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measured via \gls{EMG}, post experiment semi structured interview and ux-curves)
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(preference, usability, comfort, post experiment semi structured interview and
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ux-curves).
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\subsubsection{Participants}
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\subsubsection{Participants}
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\label{sec:main_participants}
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\label{sec:main_participants}
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@ -507,12 +508,12 @@ into our experiment. The first questionnaire was the \glsfirst{KCQ} provided by
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\cite[56]{iso9241-411} and was filled out after each individual typing test
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\cite[56]{iso9241-411} and was filled out after each individual typing test
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(\glsfirst{PTTQ}). The second survey, that was filled out every time the
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(\glsfirst{PTTQ}). The second survey, that was filled out every time the
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keyboard was changed, was the \glsfirst{UEQ-S} \cite{schrepp_ueq_handbook} with
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keyboard was changed, was the \glsfirst{UEQ-S} \cite{schrepp_ueq_handbook} with
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an additional question―``How satisfied have you been with this keyboard?''―that
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an additional question―\textit{``How satisfied have you been with this
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could be answered with the help of a \gls{VAS} ranging from 0 to 100
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keyboard?''}―that could be answered with the help of a \gls{VAS} ranging from
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(\glsfirst{PKQ})\cite{lewis_vas}. Due to the limited time participants had to
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0 to 100 (\glsfirst{PKQ})\cite{lewis_vas}. Due to the limited time participants
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fill out the questionnaires in between typing tests (2 - 3 minutes) and also
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had to fill out the questionnaires in between typing tests (2 - 3 minutes) and
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because participants had to rate multiple keyboards in one session, the short
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also because participants had to rate multiple keyboards in one session, the
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version of the \gls{UEQ} was selected \cite{schrepp_ueq_handbook}.
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short version of the \gls{UEQ} was selected \cite{schrepp_ueq_handbook}.
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\textbf{Post Experiment Interview \& \Gls{UX Curve}s}
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\textbf{Post Experiment Interview \& \Gls{UX Curve}s}
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@ -358,7 +358,7 @@ the right flexor muscle (n = 22). We found no significant differences in
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\gls{EMG} measurements. Further, we analyzed the effect of the individual
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\gls{EMG} measurements. Further, we analyzed the effect of the individual
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keyboards on \%\gls{MVC}s separately for first and second typing tests (Tn\_1 \&
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keyboards on \%\gls{MVC}s separately for first and second typing tests (Tn\_1 \&
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Tn\_2, n := 1, ..., 4), but did not find any statistically significant results
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Tn\_2, n := 1, ..., 4), but did not find any statistically significant results
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as well. Lastly, we analyzed possible differences between \%\gls{MVC}
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either. Additionally, we analyzed possible differences between \%\gls{MVC}
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measurements of first and second typing tests for each individual keyboard,
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measurements of first and second typing tests for each individual keyboard,
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using either dependent T-tests or Wilcoxon Signed Rank Tests. There were no
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using either dependent T-tests or Wilcoxon Signed Rank Tests. There were no
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statistically significant differences in \%\gls{MVC} between the first and the
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statistically significant differences in \%\gls{MVC} between the first and the
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@ -367,11 +367,11 @@ test keyboards of the mean values for both typing tests combined can be observed
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in Table \ref{tbl:sum_tkbs_emg}. Lastly, we created histograms (Figure
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in Table \ref{tbl:sum_tkbs_emg}. Lastly, we created histograms (Figure
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\ref{fig:max_emg_tkbs}) for each of the observed muscle groups, that show the
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\ref{fig:max_emg_tkbs}) for each of the observed muscle groups, that show the
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number of times a keyboard yielded the highest \%\gls{MVC} out of all keyboards
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number of times a keyboard yielded the highest \%\gls{MVC} out of all keyboards
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for each participant. We found, that \textit{Athena} most frequently ($\approx$45\,\%)
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for each participant. We found that \textit{Athena} most frequently
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produced the highest extensor muscle activity for both arms. The highest muscle
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($\approx$45\,\%) produced the highest extensor muscle activity for both
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activity for both flexor muscle groups was evenly distributed among all test
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arms. The highest muscle activity for both flexor muscle groups was evenly
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keyboards with a slight exception of \textit{Nyx}, which produced the highest
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distributed among all test keyboards with a slight exception of \textit{Nyx},
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\%\gls{MVC} only in ~14\,\% of participants.
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which produced the highest \%\gls{MVC} only in ~14\,\% of participants.
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\begin{figure}[H]
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\begin{figure}[H]
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\centering
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\centering
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@ -449,7 +449,7 @@ keyboards with a slight exception of \textit{Nyx}, which produced the highest
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\label{sec:res_kcq}
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\label{sec:res_kcq}
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The \glsfirst{KCQ} was filled out by the participants after each individual
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The \glsfirst{KCQ} was filled out by the participants after each individual
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typing test. The questionnaire featured twelve questions regarding the
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typing test. The questionnaire featured twelve questions regarding the
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previously used keyboard which are labelled as follows:
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previously used keyboard which are labeled as follows:
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\begin{table}[H]
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\begin{table}[H]
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\centering
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\centering
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@ -524,7 +524,7 @@ eight questions on a 7-point Likert scale, which formed two scales (pragmatic,
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hedonic). Additionally we added one extra question that could be answered on a
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hedonic). Additionally we added one extra question that could be answered on a
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\glsfirst{VAS} from 0 to 100. The survey was filled out after both tests with a
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\glsfirst{VAS} from 0 to 100. The survey was filled out after both tests with a
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keyboard have been completed. The questions of our modified \gls{UEQ-S} were
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keyboard have been completed. The questions of our modified \gls{UEQ-S} were
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labelled as follows:
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labeled as follows:
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\begin{table}[H]
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\begin{table}[H]
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\centering
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\centering
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@ -648,25 +648,25 @@ stable if \gls{SP} = \gls{EP} (margin of $\pm$ 1 mm). One curve can either
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represent one typing test (C1 or C2) or the whole experience with one keyboard
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represent one typing test (C1 or C2) or the whole experience with one keyboard
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over the course of both typing tests (C12). All curves can be observed in
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over the course of both typing tests (C12). All curves can be observed in
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Appendix \ref{app:uxc} and the resulting slopes for all curve types are shown in
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Appendix \ref{app:uxc} and the resulting slopes for all curve types are shown in
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Figure \ref{fig:res_uxc}. During the semi-structured interview, we asked the
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Figure \ref{fig:res_uxc}. During the semi-structured interview we asked the
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participants to rank the keyboards from 1 (favorite) to 5 (least favorite). If
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participants to rank the keyboards from 1 (favorite) to 5 (least favorite). If
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in doubt, participants were allowed to place two keyboards on the same
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in doubt, participants were allowed to place two keyboards on the same
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rank. Further, we asked some participants (n = 19) to also rank the keyboards
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rank. Further, we asked some participants (n = 19) to also rank the keyboards
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from lowest actuation force (one) to highest actuation force (five). The
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from lowest actuation force (one) to highest actuation force (five). The
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participants own keyboard was four times more often placed first than any other
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participants own keyboard was four times more often placed first than any other
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keyboard. \textit{Hera} was the only keyboard, that never got placed fifth and
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keyboard. \textit{Hera} was the only keyboard that never got placed fifth and
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except for \textit{Own}, was the most represented keyboard in the top three. The
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except for \textit{Own}, was the most represented keyboard in the top three. The
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ranking of the perceived actuation force revealed, that participants were able
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ranking of the perceived actuation force revealed that participants were able
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to identify \textit{Nyx} (35\,g) and \textit{Athena} (80\,g) as the keyboards with
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to identify \textit{Nyx} (35\,g) and \textit{Athena} (80\,g) as the keyboards
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the lowest and highest actuation force respectively. All results for both
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with the lowest and highest actuation force respectively. All results for both
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rankings are visualized in Figure \ref{fig:res_interview}. Lastly, we analyzed
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rankings are visualized in Figure \ref{fig:res_interview}. Lastly, we analyzed
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the recordings of all interviews and found several similar statements about
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the recordings of all interviews and found several similar statements about
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specific keyboards. Twelve participants noted, that because of the new form
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specific keyboards. Twelve participants noted that because of the new form
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factor of the test keyboards, additional familiarization was required to feel
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factor of the test keyboards, additional familiarization was required to feel
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comfortable. Nine of those specifically mentioned the height of the keyboard as
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comfortable. Nine of those specifically mentioned the height of the keyboard as
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the main difference. Fourteen subjects reported―\textit{``Because Nyx had such a
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the main difference. Fourteen subjects reported―\textit{``Because Nyx had such a
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low resistance, I kept making mistakes!''}. Four participants explicitly
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low resistance, I kept making mistakes!''}. Four participants explicitly
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noted, that \textit{Hera} felt very pleasant and two subjects mentioned
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noted that \textit{Hera} felt very pleasant and two subjects mentioned
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\textit{``I had really good flow.''} and \textit{``It somehow just felt
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\textit{``I had really good flow.''} and \textit{``It somehow just felt
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right''}. Ten participants reported, that typing on \textit{Athena} was
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right''}. Ten participants reported, that typing on \textit{Athena} was
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exhausting. \textit{Aphrodite} was not mentioned as often as the other keyboards
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exhausting. \textit{Aphrodite} was not mentioned as often as the other keyboards
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@ -9,38 +9,39 @@ question \textit{``Does an adjusted actuation force per key have a positive
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\subsection{Impact of Actuation Force on Typing Speed}
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\subsection{Impact of Actuation Force on Typing Speed}
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\label{sec:dis_speed}
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\label{sec:dis_speed}
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Our main experiment yielded, that there are differences in typing speed for both
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Our main experiment yielded that there are differences in typing speed for both
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metrics related to transcribed text we measured―namely \glsfirst{WPM} and
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metrics related to transcribed text we measured―namely \glsfirst{WPM} and
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\glsfirst{AdjWPM}. Especially the keyboard with the lowest uniform actuation
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\glsfirst{AdjWPM}. Especially the keyboard with the lowest uniform actuation
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force of 35\,g―\textit{Nyx}―performed worse than all other keyboards. In terms
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force of 35\,g―\textit{Nyx}―performed worse than all other keyboards. In terms
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of \gls{WPM}, \textit{Nyx (35\,g)} was on average 4.1\,\% slower than
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of \gls{WPM}, \textit{Nyx (35\,g)} was on average 4.1\,\% slower than
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\textit{Athena (80\,g)} and \textit{Aphrodite (50\,g)} and 4.8\,\% slower than the
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\textit{Athena (80\,g)} and \textit{Aphrodite (50\,g)} and 4.8\,\% slower than
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adjusted keyboard \textit{Hera (35 - 60\,g)}. Similarly, for \gls{AdjWPM},
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the adjusted keyboard \textit{Hera (35 - 60\,g)}. Similarly, for \gls{AdjWPM},
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\textit{Nyx} was 4.3\,\% slower than \textit{Athena} and \textit{Aphrodite} and
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\textit{Nyx} was 4.3\,\% slower than \textit{Athena} and \textit{Aphrodite} and
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4.9\,\% slower than \textit{Hera}. The 4\,\% to 5\,\% difference in \gls{WPM} and
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4.9\,\% slower than \textit{Hera}. The 4\,\% to 5\,\% difference in \gls{WPM}
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\gls{AdjWPM} in our sample account for approximately 2 words per minute. When
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and \gls{AdjWPM} in our sample account for approximately two words per
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extrapolated with the mean daily keyboard usage of 6.69 hours reported by our
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minute. When extrapolated with the mean daily keyboard usage of 6.69 hours
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participants, this difference would be as big as 803 words, which when put into
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reported by our participants, this difference would be as big as 803 words,
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perspective, is equivalent to roughly two full pages of only written content
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which when put into perspective, is equivalent to roughly two full pages of only
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(11pt font size). Although, this specific example would assume constant typing
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written content (11pt font size). Although, this specific example would assume
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for 6.69 hours, it is still a useful estimate of the loss in productivity under
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constant typing for 6.69 hours, it is still a useful estimate of the loss in
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normal working conditions over the course of several days. These differences in
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productivity under normal working conditions over the course of several
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\gls{WPM} and \gls{AdjWPM} could be explained by the higher error rates and
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days. These differences in \gls{WPM} and \gls{AdjWPM} could be explained by the
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thereby the loss of ``typing flow'' we discuss in the next section. \gls{KSPS}
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higher error rates and thereby the loss of ``typing flow'' we discuss in the
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reflects the raw input speed by including backspaces and previously deleted
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next section. \gls{KSPS} reflects the raw input speed by including backspaces
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characters. The reason we included \gls{KSPS} in our analysis was to reveal
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and previously deleted characters. The reason we included \gls{KSPS} in our
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possible differences in the physical speed participants type on a keyboard and
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analysis was to reveal possible differences in the physical speed participants
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not to further asses speed in the sense of productivity. We could not find any
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type on a keyboard and not to further asses speed in the sense of
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statistically significant differences in \gls{KSPS} but saw a trend, indicating
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productivity. We could not find any statistically significant differences in
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that subjects typed a bit slower (< 3\,\%) on \textit{Athena (80\,g)} compared to
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\gls{KSPS} but saw a trend, indicating that subjects typed a bit slower (<
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\textit{Aphrodite (50\,g)} and \textit{Hera (35 - 60\,g)}. With the differences
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3\,\%) on \textit{Athena (80\,g)} compared to \textit{Aphrodite (50\,g)} and
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in metrics that are commonly used to measure typing speed more closely related
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\textit{Hera (35 - 60\,g)}. With the differences in metrics that are commonly
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to productivity (\gls{WPM}, \gls{AdjWPM}) and the trends that indicate a slight
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used to measure typing speed more closely related to productivity (\gls{WPM},
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difference in operating speed we could have accepted our hypothesis. However,
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\gls{AdjWPM}) and the trends that indicate a slight difference in operating
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with the relation between error rate and typing speed described in the next
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speed we could have accepted our hypothesis. However, with the relation between
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section and the thereby rather indirect effect of the actuation force, we can
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error rate and typing speed described in the next section and the thereby rather
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only partially accept our hypothesis that a difference solely in actuation
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indirect effect of the actuation force, we can only partially accept our
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force, has an impact on typing speed.
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hypothesis that a difference solely in actuation force, has an impact on typing
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speed.
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|
||||||
\begin{phga_hyp*}[1 $\rightarrow$ \cmark\kern-1.1ex\raisebox{.7ex}{\rotatebox[origin=c]{125}{--}}]
|
\begin{phga_hyp*}[1 $\rightarrow$ \cmark\kern-1.1ex\raisebox{.7ex}{\rotatebox[origin=c]{125}{--}}]
|
||||||
Actuation force has an impact on typing speed (efficiency - speed).
|
Actuation force has an impact on typing speed (efficiency - speed).
|
||||||
@ -59,17 +60,18 @@ 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 (35\,g)}. Furthermore, \textit{Hera} and \textit{Aphrodite} both had a
|
\textit{Nyx (35\,g)}. Furthermore, \textit{Hera} and \textit{Aphrodite} both had
|
||||||
2\,\% lower \gls{TER} than \textit{Nyx}. Additionally to the quantitative results,
|
a 2\,\% lower \gls{TER} than \textit{Nyx}. Additionally to the quantitative
|
||||||
fourteen of the twenty-four participants also reported, that \textit{Nyx's}
|
results, fourteen of the twenty-four participants also reported, that
|
||||||
light actuation force was the reason for many accidental key presses. It further
|
\textit{Nyx's} light actuation force was the reason for many accidental key
|
||||||
stood out, that as shown in Figure \ref{fig:max_opc_ter}, \textit{Athena} was
|
presses. It further stood out that, as shown in Figure \ref{fig:max_opc_ter},
|
||||||
the most accurate keyboard for 58\,\% of participants and also more accurate than
|
\textit{Athena} was the most accurate keyboard for 58\,\% of participants and
|
||||||
keyboard \textit{Own} for eleven of the subjects. Overall, this concludes, that
|
also more accurate than keyboard \textit{Own} for eleven of the
|
||||||
a higher actuation force has a positive impact on error rate.
|
subjects. Overall, this concludes that a higher actuation force has a positive
|
||||||
|
impact on error rate.
|
||||||
|
|
||||||
\begin{phga_hyp*}[2 $\rightarrow$ \cmark]
|
\begin{phga_hyp*}[2 $\rightarrow$ \cmark]
|
||||||
Higher key actuation force decreases typing errors compared to lower key
|
Higher key actuation force decreases typing errors compared to lower key
|
||||||
@ -80,13 +82,13 @@ a higher actuation force has a positive impact on error rate.
|
|||||||
|
|
||||||
The higher error rates and the possibility to correct erroneous input could have
|
The higher error rates and the possibility to correct erroneous input could have
|
||||||
also been a factor that led to lower \textit{WPM}. To evaluate the likelihood of
|
also been a factor that led to lower \textit{WPM}. To evaluate the likelihood of
|
||||||
this additional relation, we conducted a \gls{LRT} of fixed effects for our
|
this additional relation we conducted a \gls{LRT} of fixed effects for our
|
||||||
linear mixed-effects model with two random effects (participant and first/second
|
linear mixed-effects model with two random effects (participant and first/second
|
||||||
typing test), fixed effect \gls{TER} and response variable \gls{WPM}. The
|
typing test), fixed effect \gls{TER} and response variable \gls{WPM}. The
|
||||||
results of the \gls{LRT} ($\chi^2(1)$ = 110.44, p = 0.00000000000000022)
|
results of the \gls{LRT} ($\chi^2(1)$ = 110.44, p = 0.00000000000000022)
|
||||||
together with the trends of lower \gls{WPM} with increasing \gls{TER}, visible
|
together with the trends of lower \gls{WPM} with increasing \gls{TER}, visible
|
||||||
in Figure \ref{fig:reg_ter_wpm}, suggest, that the \gls{TER} indeed had an
|
in Figure \ref{fig:reg_ter_wpm}, suggest that the \gls{TER} indeed had an
|
||||||
impact on \gls{WPM}. This could have been, because every time an error was made,
|
impact on \gls{WPM}. This could have been because every time an error was made,
|
||||||
almost all participants decided to correct it right away. With a higher error
|
almost all participants decided to correct it right away. With a higher error
|
||||||
rate, this obviously leads to many short interruptions and an increased number
|
rate, this obviously leads to many short interruptions and an increased number
|
||||||
of characters that are not taken into account when computing the \gls{WPM}
|
of characters that are not taken into account when computing the \gls{WPM}
|
||||||
@ -108,7 +110,7 @@ We tried to narrow down the rather broad term ``satisfaction'' to individual
|
|||||||
categories that we, with the information gathered through our literature review
|
categories that we, with the information gathered through our literature review
|
||||||
and telephone interviews, defined as necessary for a positive user experience
|
and telephone interviews, defined as necessary for a positive user experience
|
||||||
while using a keyboard \cite{giese_sati}. We decided for the following metrics
|
while using a keyboard \cite{giese_sati}. We decided for the following metrics
|
||||||
to evaluate, whether or not a user experience with a keyboard that features
|
to evaluate whether or not a user experience with a keyboard that features
|
||||||
lighter actuation forces was more satisfactory:
|
lighter actuation forces was more satisfactory:
|
||||||
|
|
||||||
\begin{table}[H]
|
\begin{table}[H]
|
||||||
@ -129,26 +131,26 @@ lighter actuation forces was more satisfactory:
|
|||||||
As described in Section \ref{sec:res_ueqs}, we could not find statistically
|
As described in Section \ref{sec:res_ueqs}, we could not find statistically
|
||||||
significant differences for any of the test keyboards regarding the pragmatic
|
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}.
|
||||||
|
|
||||||
\textbf{[\xmark] Additional Question of Satisfaction with Keyboard}
|
\textbf{[\xmark] Additional Question of Satisfaction with Keyboard}
|
||||||
|
|
||||||
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 were 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
|
||||||
the visualisation of the mean ratings in Figure \ref{fig:res_tkbs_sati} where
|
the visualization of the mean ratings in Figure \ref{fig:res_tkbs_sati} where
|
||||||
the average ratings for \textit{Aphrodite} and \textit{Hera} were approximately
|
the average ratings for \textit{Aphrodite} and \textit{Hera} were approximately
|
||||||
10 points higher than those for \textit{Nyx} and \textit{Athena}.
|
10 points higher than those for \textit{Nyx} and \textit{Athena}.
|
||||||
|
|
||||||
@ -159,11 +161,11 @@ 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
|
||||||
to \textit{Nyx (35\,g)}. Similarly to the results discussed in the last
|
compared 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 both 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.
|
||||||
@ -191,15 +193,15 @@ Lastly, we analysed all recordings of the post-experiment interviews and
|
|||||||
categorized the feedback given for each keyboard into positive and negative
|
categorized the feedback given for each keyboard into positive and negative
|
||||||
responses. We then calculated a ratio of these responses, which can be seen in
|
responses. We then calculated a ratio of these responses, which can be seen in
|
||||||
Figure \ref{fig:ratio_interview}, to evaluate preferences towards specific
|
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
|
||||||
\textit{Nyx} and \textit{Athena} but would also indicate a worse experience with
|
\textit{Nyx} and \textit{Athena}, but would also indicate a worse experience
|
||||||
those two keyboards \cite{baumeister_bad}.
|
with those two keyboards \cite{baumeister_bad}.
|
||||||
|
|
||||||
\begin{figure}[H]
|
\begin{figure}[H]
|
||||||
\centering
|
\centering
|
||||||
@ -211,16 +213,16 @@ 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\,\%
|
||||||
attendees preferred a keyboard with light actuation force, none of the factors
|
of attendees preferred a keyboard with light actuation force, none of the
|
||||||
we defined as relevant for user satisfaction suggests, that keyboards with lower
|
factors we defined as relevant for user satisfaction suggests that keyboards
|
||||||
actuation force are more satisfactory to use than keyboards with higher
|
with lower actuation force are more satisfactory to use than keyboards with
|
||||||
actuation force. Therefore, we have to fully reject our hypothesis. We can
|
higher actuation force. Therefore, we have to fully reject our hypothesis. We
|
||||||
conclude thought, that keyboards with actuation forces in between those two
|
can 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 of keyboards with extreme actuation forces are highly influenced by
|
||||||
personal preference, which is indicated by the high fluctuation of almost all
|
personal preference. The latter is indicated by the high fluctuation of almost
|
||||||
responses regarding our evaluated factors.
|
all responses regarding our evaluated factors.
|
||||||
|
|
||||||
\begin{phga_hyp*}[3 $\rightarrow$ \xmark]
|
\begin{phga_hyp*}[3 $\rightarrow$ \xmark]
|
||||||
Keys with lower actuation force are perceived as more satisfactory to type
|
Keys with lower actuation force are perceived as more satisfactory to type
|
||||||
@ -229,12 +231,12 @@ responses regarding our evaluated factors.
|
|||||||
|
|
||||||
\subsection{Impact of Actuation Force on Muscle Activity}
|
\subsection{Impact of Actuation Force on Muscle Activity}
|
||||||
\label{sec:dis_emg}
|
\label{sec:dis_emg}
|
||||||
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
|
||||||
of participants, could be interpreted as anecdotal evidence towards our
|
14\,\% 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.
|
||||||
|
|
||||||
\begin{phga_hyp*}[4 $\rightarrow$ \xmark]
|
\begin{phga_hyp*}[4 $\rightarrow$ \xmark]
|
||||||
@ -251,7 +253,7 @@ As discussed in the previous sections, there were no statistically significant
|
|||||||
differences in terms of satisfaction for any of the test keyboards, including
|
differences in terms of satisfaction for any of the test keyboards, including
|
||||||
our adjusted keyboard \textit{Hera}. Still, the rather unconventional design
|
our adjusted keyboard \textit{Hera}. Still, the rather unconventional design
|
||||||
choice of non-uniform actuation forces across a keyboard did not negatively
|
choice of non-uniform actuation forces across a keyboard did not negatively
|
||||||
influence the satisfaction compared to \textit{Aphrodite} which was often
|
influence the satisfaction compared to \textit{Aphrodite}, which was often
|
||||||
perceived as equivalent to the participant's own keyboard. In fact,
|
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
|
||||||
@ -263,10 +265,10 @@ familiarization period required by keyboards with lighter actuation forces
|
|||||||
reported a currently present disease of the left arm and wrist (Syndrome Sudeck,
|
reported a currently present disease of the left arm and wrist (Syndrome Sudeck,
|
||||||
complex regional pain syndrome (CRPS)), ranked Hera 30 points higher than all
|
complex regional pain syndrome (CRPS)), ranked Hera 30 points higher than all
|
||||||
other keyboards. \textit{I3Z4XI7H} also reported in the post-experiment
|
other keyboards. \textit{I3Z4XI7H} also reported in the post-experiment
|
||||||
interview, that \textit{Hera} was surprisingly pleasant to use and that pain was
|
interview that \textit{Hera} was surprisingly pleasant to use and that pain was
|
||||||
significantly lower than with all other keyboards including
|
significantly lower than with all other keyboards including
|
||||||
\textit{Own}. However, because of the nearly identical scores to
|
\textit{Own}. However, because of the nearly identical scores to
|
||||||
\textit{Aphrodite} in almost all categories, we have to reject our hypothesis,
|
\textit{Aphrodite} in almost all categories, we have to reject our hypothesis
|
||||||
that an adjusted keyboard is more satisfactory to use than standard keyboards.
|
that an adjusted keyboard is more satisfactory to use than standard keyboards.
|
||||||
|
|
||||||
\begin{phga_hyp*}[7 $\rightarrow$ \xmark]
|
\begin{phga_hyp*}[7 $\rightarrow$ \xmark]
|
||||||
@ -274,19 +276,20 @@ 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)}
|
||||||
close to equal to the results of \textit{Aphrodite (50\,g)} and for speed related
|
were close to equal to the results of \textit{Aphrodite (50\,g)} and for speed
|
||||||
metrics between those two keyboards only slight improvements while using
|
related 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}
|
||||||
that were not statistically significant―were recorded during our experiment. It
|
(1\,\%)― that were not statistically significant―were recorded during our
|
||||||
was still interesting to see, that \textit{Hera} was the fastest, out of all
|
experiment. It was still interesting to see, that \textit{Hera}, out of all four
|
||||||
four test keyboards, for eleven (45\,\%) out of the twenty-four subjects and that
|
test keyboards, was the fastest for eleven (45\,\%) out of the twenty-four
|
||||||
albeit the usage of 30\,\% keyswitches\footnote{That were actually pressed during
|
subjects and that albeit the usage of 30\,\% keyswitches\footnote{That were
|
||||||
our typing tests} that required 35 - 40\,g actuation force, which is similar to
|
actually pressed during our typing tests} that required 35 - 40\,g actuation
|
||||||
the actuation force of \textit{Nyx (35\,g)}, we did not see comparably high error
|
force, which is similar to the actuation force of \textit{Nyx (35\,g)}, we did
|
||||||
rates. Because of the lacking evidence, that an adjusted keyboard produces less
|
not see comparably high error rates. Because of the lacking evidence, that an
|
||||||
errors or supports the typist in achieving higher typing speeds, we have to
|
adjusted keyboard produces less errors or supports the typist in achieving
|
||||||
reject our two hypotheses regarding those improvements.
|
higher typing speeds, we have to reject our two hypotheses regarding those
|
||||||
|
improvements.
|
||||||
|
|
||||||
\begin{phga_hyp*}[5 $\rightarrow$ \xmark]
|
\begin{phga_hyp*}[5 $\rightarrow$ \xmark]
|
||||||
An adjusted keyboard improves typing speed compared to standard keyboards
|
An adjusted keyboard improves typing speed compared to standard keyboards
|
||||||
@ -298,7 +301,7 @@ reject our two hypotheses regarding those improvements.
|
|||||||
to standard keyboards.
|
to standard keyboards.
|
||||||
\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 too light (35\,g) nor too 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
|
||||||
|
@ -16,21 +16,21 @@ 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
|
||||||
rates. Neither the satisfaction nor the muscle activity was significantly
|
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 is 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
|
||||||
related metrics, when compared to the more commonly sold keyboards with around
|
typing related metrics, when compared to the more commonly sold keyboards with
|
||||||
50\,g to 60\,g actuation force. In the next sections we identify possible
|
around 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.
|
||||||
|
|
||||||
@ -45,16 +45,16 @@ 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
|
||||||
female and male participants, the age distribution was not diverse (M = 24) and
|
50\,\% female and male participants, the age distribution was not diverse (M =
|
||||||
with a higher number of subjects, the results would have been much more
|
24) and 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
|
||||||
could have been higher for our main study (n = 24) to yield even more meaningful
|
could have been higher for our main study (n = 24) to yield even more meaningful
|
||||||
results. The low number of participants in general was partly due to the ongoing
|
results. The low number of participants in general was partly due to the ongoing
|
||||||
COVID-19 pandemic. Lastly, we could have used more linear mixed models during
|
COVID-19 pandemic. Lastly, we could have used more linear mixed models during
|
||||||
our statistical analysis, to be able to make statements about the influence of
|
our statistical analysis, to be able to make statements about the influence of
|
||||||
other factors e.g., age, gender, average daily keyboard usage, etc., on speed,
|
other factors e.g., age, gender, average daily keyboard usage, etc., on speed,
|
||||||
error rate and satisfaction.
|
error rate or satisfaction.
|
||||||
|
|
||||||
\subsection{Future work}
|
\subsection{Future work}
|
||||||
\label{sec:fw}
|
\label{sec:fw}
|
||||||
@ -62,17 +62,18 @@ 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
|
||||||
base actuation force than 50\,g could be used to calculate the individual spring
|
lower base actuation force than 50\,g could be used to calculate the individual
|
||||||
resistances used for each key or a similar layout to the one used in
|
spring 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
|
||||||
keyboards, where participants use the adjusted keyboard for 3 to 4 months and
|
keyboards where participants use the adjusted keyboard for three to four months
|
||||||
then use a uniform keyboard they prefer for another 3 to 4 months as their daily
|
and then use a uniform keyboard they prefer for another three to four months as
|
||||||
driver, could yield more accurate results, due to the chance to fully adapt to
|
their daily driver, could yield more accurate results, due to the chance to
|
||||||
the individual keyboards. During those months \gls{EMG} and typing related
|
fully adapt to the individual keyboards. During those months \gls{EMG} and
|
||||||
metrics should be measured on a regular basis. Lastly, it would be interesting
|
typing related metrics should be measured on a regular basis. Lastly, it would
|
||||||
to investigate if an adjusted keyboard can reduce pain or at least enhance
|
be interesting to investigate if an adjusted keyboard can reduce pain or at
|
||||||
comfort for typists with pre-existing diseases influenced by typing activities
|
least enhance comfort for typists with pre-existing diseases influenced by
|
||||||
(disorders of the upper extremity), since one of our participants with a similar
|
typing activities (disorders of the upper extremity), since one of our
|
||||||
disease reported a great reduction in pain while using \textit{Hera}.
|
participants with a similar disease reported a great reduction in pain while
|
||||||
|
using \textit{Hera}.
|
||||||
|
@ -1,12 +0,0 @@
|
|||||||
%----------Sperrvermerk/Confidentiality clause------------------------------------------------------------
|
|
||||||
|
|
||||||
|
|
||||||
\addsec{Sperrvermerk/Confidentiality clause}
|
|
||||||
|
|
||||||
Optional.\\
|
|
||||||
|
|
||||||
Ingolstadt, \rule{0.3\textwidth}{0.4pt} \\
|
|
||||||
\textcolor{white}{.}\qquad\qquad\qquad\qquad\quad \small (Date) \\ [1.3cm]
|
|
||||||
|
|
||||||
(Signature) \\
|
|
||||||
Firstname Lastname
|
|
19
outlook.tex
19
outlook.tex
@ -1,19 +0,0 @@
|
|||||||
% Kapitel 7 - Ausblick
|
|
||||||
|
|
||||||
%\newgeometry{textheight=\paperheight, textwidth=\paperwidth}
|
|
||||||
%\begin{titlepage}
|
|
||||||
% %----THI-Bertrandt-logo--------------------------------------------------------
|
|
||||||
% \begin{figure}[h!]
|
|
||||||
% \centering
|
|
||||||
% \includegraphics[width={\textwidth}]{titeltrenner/t7}
|
|
||||||
% \end{figure}
|
|
||||||
% %------------------------------------------------------------------------------
|
|
||||||
%\end{titlepage}
|
|
||||||
%\restoregeometry
|
|
||||||
%%--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
|
|
||||||
|
|
||||||
|
|
||||||
\section{Ausblick}
|
|
||||||
|
|
||||||
\subsection{Einschränkungen}
|
|
||||||
|
|
@ -35,7 +35,7 @@
|
|||||||
Name and Surname: & \textbf{Philip Gaber} \\ [3em]
|
Name and Surname: & \textbf{Philip Gaber} \\ [3em]
|
||||||
|
|
||||||
Issued on: & 08.04.2021 \\ [1em] % issuing date
|
Issued on: & 08.04.2021 \\ [1em] % issuing date
|
||||||
Submitted on: & xx.yy.zzzz \\ [3em] %date of hand in
|
Submitted on: & 01.08.2021 \\ [3em] %date of hand in
|
||||||
|
|
||||||
First examiner: & Prof. Priv.-Doz. Dr. techn. Andreas Riener\\ [1em]
|
First examiner: & Prof. Priv.-Doz. Dr. techn. Andreas Riener\\ [1em]
|
||||||
Second examiner: & Prof. Dr. rer. nat. Franz Regensburger\\[3em]
|
Second examiner: & Prof. Dr. rer. nat. Franz Regensburger\\[3em]
|
||||||
|
Loading…
x
Reference in New Issue
Block a user