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|
\section{Discussion}
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|
\label{sec:discussion}
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In the following sections, we reiterate on our findings presented in the last
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|
section and try to derive answers regarding our seven hypotheses and research
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|
question \textit{``Does an adjusted actuation force per key have a positive
|
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|
impact on efficiency and overall satisfaction while using a mechanical
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|
keyboard?''}.
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\subsection{Impact of Actuation Force on Typing 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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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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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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\textit{Athena (80\,g)} and \textit{Aphrodite (50\,g)} and 4.8\,\% slower than the
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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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4.9\,\% slower than \textit{Hera}. The 4\,\% to 5\,\% difference in \gls{WPM} and
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\gls{AdjWPM} in our sample account for approximately 2 words per minute. When
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|
extrapolated with the mean daily keyboard usage of 6.69 hours reported by our
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participants, this difference would be as big as 803 words, which when put into
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perspective, is equivalent to roughly two full pages of only written content
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|
(11pt font size). Although, this specific example would assume constant typing
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for 6.69 hours, it is still a useful estimate of the loss in productivity under
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|
normal working conditions over the course of several days. These differences in
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\gls{WPM} and \gls{AdjWPM} could be explained by the higher error rates and
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|
thereby the loss of ``typing flow'' we discuss in the next section. \gls{KSPS}
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|
reflects the raw input speed by including backspaces and previously deleted
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|
characters. The reason we included \gls{KSPS} in our analysis was to reveal
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possible differences in the physical speed participants type on a keyboard and
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not to further asses speed in the sense of productivity. We could not find any
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statistically significant differences in \gls{KSPS} but saw a trend, indicating
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|
that subjects typed a bit slower (< 3\,\%) on \textit{Athena (80\,g)} compared to
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\textit{Aphrodite (50\,g)} and \textit{Hera (35 - 60\,g)}. With the differences
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|
in metrics that are commonly used to measure typing speed more closely related
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to productivity (\gls{WPM}, \gls{AdjWPM}) and the trends that indicate a slight
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|
difference in operating speed we could have accepted our hypothesis. However,
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with the relation between error rate and typing speed described in the next
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|
section and the thereby rather indirect effect of the actuation force, we can
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|
only partially accept our hypothesis that a difference solely in actuation
|
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|
force, has an impact on typing speed.
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|
\begin{phga_hyp*}[1 $\rightarrow$ \cmark\kern-1.1ex\raisebox{.7ex}{\rotatebox[origin=c]{125}{--}}]
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Actuation force has an impact on typing speed (efficiency - speed).
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|
\end{phga_hyp*}
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% During our telephone interviews 76\,\% of respondents would have preferred a
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% keyboard with lighter actuation force.
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% Our study tried to present the participant with a typing scenario that is as
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|
% close to a typical text input situation as possible, by allowing but not
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|
% enforcing the correction of erroneous input.
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|
\subsection{Impact of Actuation Force on Error Rate}
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|
\label{sec:dis_error}
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|
As already briefly mentioned in Section \ref{sec:dis_speed}, measured error
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|
rates like \glsfirst{UER}, \glsfirst{CER} and \glsfirst{TER} differed especially
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|
between \textit{Nyx (35\,g)} and the other test keyboards. The statistical
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|
analyses further revealed, that \textit{Athena}, the keyboard with the highest
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|
actuation force of 80\,g, produced on average 1\,\% less \gls{TER} than
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|
\textit{Hera (35 - 60\,g)} and \textit{Aphrodite (50\,g)} and 3\,\% less than
|
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|
\textit{Nyx (35\,g)}. Furthermore, \textit{Hera} and \textit{Aphrodite} both had a
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|
2\,\% lower \gls{TER} than \textit{Nyx}. Additionally to the quantitative results,
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|
fourteen of the twenty-four participants also reported, that \textit{Nyx's}
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|
light actuation force was the reason for many accidental key presses. It further
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|
stood out, that as shown in Figure \ref{fig:max_opc_ter}, \textit{Athena} was
|
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|
the most accurate keyboard for 58\,\% of participants and also more accurate than
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|
keyboard \textit{Own} for eleven of the subjects. Overall, this concludes, that
|
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|
a higher actuation force has a positive impact on error rate.
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|
\begin{phga_hyp*}[2 $\rightarrow$ \cmark]
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|
Higher key actuation force decreases typing errors compared to lower key
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|
actuation force (efficiency - error rate).
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|
\end{phga_hyp*}
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|
\textbf{Impact of \gls{TER} on \gls{WPM}}
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|
The higher error rates and the possibility to correct erroneous input could have
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|
also been a factor that led to lower \textit{WPM}. To evaluate the likelihood of
|
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|
this additional relation, we conducted a \gls{LRT} of fixed effects for our
|
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|
linear mixed-effects model with two random effects (participant and first/second
|
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|
typing test), fixed effect \gls{TER} and response variable \gls{WPM}. The
|
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|
results of the \gls{LRT} ($\chi^2(1)$ = 110.44, p = 0.00000000000000022)
|
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|
together with the trends of lower \gls{WPM} with increasing \gls{TER}, visible
|
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|
in Figure \ref{fig:reg_ter_wpm}, suggest, that the \gls{TER} indeed had an
|
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|
impact on \gls{WPM}. This could have been, because every time an error was made,
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|
almost all participants decided to correct it right away. With a higher error
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|
rate, this obviously leads to many short interruptions and an increased number
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|
of characters that are not taken into account when computing the \gls{WPM}
|
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|
metric.
|
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|
\begin{figure}[H]
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|
\centering
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|
\includegraphics[width=1.0\textwidth]{images/reg_ter_wpm}
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|
\caption{Regression lines for the relation between \gls{TER} and \gls{WPM}.
|
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|
The trends indicate a decrease in \gls{WPM} with rising \gls{TER} and
|
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|
therefore the existence of a relation between the two metrics}
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|
\label{fig:reg_ter_wpm}
|
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|
\end{figure}
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|
\subsection{Impact of Actuation Force on Satisfaction}
|
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|
\label{sec:dis_sati}
|
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|
We tried to narrow down the rather broad term ``satisfaction'' to individual
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|
categories that we, with the information gathered through our literature review
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|
and telephone interviews, defined as necessary for a positive user experience
|
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|
|
while using a keyboard \cite{giese_sati}. We decided for the following metrics
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|
to evaluate, whether or not a user experience with a keyboard that features
|
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|
lighter actuation forces was more satisfactory:
|
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|
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|
|
\begin{table}[H]
|
|
|
|
\centering
|
|
|
|
\ra{1.0}
|
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|
|
\small
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|
\begin{tabular}{l}
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|
$\rightarrow$ Pragmatic scale from the \glsfirst{UEQ-S} \\
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|
$\rightarrow$ Score of the additional question \textit{``How satisfied have you been with this keyboard?''}\\
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|
$\rightarrow$ Results of the \glsfirst{KCQ}\\
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|
$\rightarrow$ Ranking of the keyboards during semi-structured interview\\
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|
$\rightarrow$ Ratio of positive and negative feedback for each keyboard during semi-structured interview\\
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|
\end{tabular}
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|
\end{table}
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|
|
\textbf{[\xmark] Pragmatic Scale (\gls{UEQ-S})}
|
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|
As described in Section \ref{sec:res_ueqs}, we could not find statistically
|
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|
|
significant differences for any of the test keyboards regarding the pragmatic
|
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|
|
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
|
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|
|
more positive rating for keyboards that utilized keyswitches with higher
|
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|
actuation forces than \textit{Nyx (35\,g)}. This trend in the opposite direction
|
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|
|
of our hypothesized outcome, that lighter actuation force leads to more user
|
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|
|
satisfaction, could be due to the longer familiarization time required for
|
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|
keyboards with very light actuation force \cite{gerard_keyswitch}.
|
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|
\textbf{[\xmark] Additional Question of Satisfaction with Keyboard}
|
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|
|
The results deduced from the additional question \textit{``How satisfied have
|
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|
|
you been with this keyboard?''}, which could be answered on a \glsfirst{VAS}
|
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|
from 0 to 100 after both tying tests with a keyboard, suggested that \textit{Nyx
|
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|
(35\,g)}, the keyboard with the lightest actuation force and also
|
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|
\textit{Athena (80\,g)} the keyboard with the highest actuation force, were rated
|
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|
|
significantly worse than \textit{Aphrodite (50\,g)}. Additionally, \textit{Hera
|
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|
|
(35 - 60\,g)}, the adjusted keyboard showed a trend towards a significantly
|
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|
|
better rating than \textit{Nyx}. These results indicate, that neither of the
|
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|
|
keyboards with extreme actuation forces were perceived as a overwhelmingly
|
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|
|
pleasant keyboard to use during our typing tests. This is further supported by
|
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|
|
the visualisation of the mean ratings in Figure \ref{fig:res_tkbs_sati} where
|
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|
|
the average ratings for \textit{Aphrodite} and \textit{Hera} were approximately
|
|
|
|
10 points higher than those for \textit{Nyx} and \textit{Athena}.
|
|
|
|
|
|
|
|
\textbf{[\xmark] Keyboard Comfort Questionnaire (\gls{KCQ})}
|
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|
|
|
|
|
|
For the \gls{KCQ} we found several statistically significant differences. For
|
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|
|
questions related to effort or fatigue while operating a keyboard,
|
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|
|
\textit{Athena (80\,g)} received significantly lower ratings than the other test
|
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|
|
keyboards. Additionally to the measured differences in error rates discussed in
|
|
|
|
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
|
|
|
|
to \textit{Nyx (35\,g)}. Similarly to the results discussed in the last
|
|
|
|
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
|
|
|
|
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
|
|
|
|
results do not indicate a clear trend towards enhanced user experience when
|
|
|
|
using keyboards with lower actuation forces.
|
|
|
|
|
|
|
|
\textbf{[\xmark] Post Experiment Ranking of All Keyboards}
|
|
|
|
|
|
|
|
The ranks in terms of favored test keyboard, provided by all twenty-four
|
|
|
|
participants during the post-experiment semi-structured interview, can be
|
|
|
|
observed in Figure \ref{fig:tkbs_ranking}. The results further support the
|
|
|
|
tendencies towards keyboards with medium actuation forces, that we already
|
|
|
|
observed in the last couple paragraphs.
|
|
|
|
|
|
|
|
\begin{figure}[H]
|
|
|
|
\centering
|
|
|
|
\includegraphics[width=0.8\textwidth]{images/tkbs_ranking}
|
|
|
|
\caption{Rankings for only the test keyboards, gathered during the
|
|
|
|
post-experiment interview. It was possible to rank two or more keyboards the
|
|
|
|
same}
|
|
|
|
\label{fig:tkbs_ranking}
|
|
|
|
\end{figure}
|
|
|
|
|
|
|
|
\textbf{[\xmark] Ratio of Positive and Negative Feedback}
|
|
|
|
|
|
|
|
Lastly, we analysed all recordings of the post-experiment interviews and
|
|
|
|
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
|
|
|
|
Figure \ref{fig:ratio_interview}, to evaluate preferences towards specific
|
|
|
|
keyboards, that could not be expressed by our participants through any other
|
|
|
|
supplied method during the experiment. Like all other factors we identified as
|
|
|
|
reasonable indicators for satisfaction, these ratios yielded, that neither
|
|
|
|
\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
|
|
|
|
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
|
|
|
|
\textit{Nyx} and \textit{Athena} but would also indicate a worse experience with
|
|
|
|
those two keyboards \cite{baumeister_bad}.
|
|
|
|
|
|
|
|
\begin{figure}[H]
|
|
|
|
\centering
|
|
|
|
\includegraphics[width=0.80\textwidth]{images/ratio_interview}
|
|
|
|
\caption{The ration of $\frac{Positive Responses}{Negative Responses}$ during
|
|
|
|
the semi-structured interview for all test keyboards}
|
|
|
|
\label{fig:ratio_interview}
|
|
|
|
\end{figure}
|
|
|
|
|
|
|
|
\textbf{Conclusion}
|
|
|
|
|
|
|
|
Contrary to the responses of our preliminary telephone interview, where 76\,\% of
|
|
|
|
attendees preferred a keyboard with light actuation force, none of the factors
|
|
|
|
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. Therefore, we have to fully reject our hypothesis. We 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
|
|
|
|
that ratings keyboards with extreme actuation forces are highly influenced by
|
|
|
|
personal preference, which is indicated by the high fluctuation of almost all
|
|
|
|
responses regarding our evaluated factors.
|
|
|
|
|
|
|
|
\begin{phga_hyp*}[3 $\rightarrow$ \xmark]
|
|
|
|
Keys with lower actuation force are perceived as more satisfactory to type
|
|
|
|
with than keys with higher actuation force.
|
|
|
|
\end{phga_hyp*}
|
|
|
|
|
|
|
|
\subsection{Impact of Actuation Force on Muscle Activity}
|
|
|
|
\label{sec:dis_emg}
|
|
|
|
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 \%
|
|
|
|
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\,\%
|
|
|
|
of participants, could be interpreted as anecdotal evidence towards our
|
|
|
|
hypothesis, that actuation force has an impact on muscle activity. Therefore we
|
|
|
|
have to reject our hypothesis.
|
|
|
|
|
|
|
|
\begin{phga_hyp*}[4 $\rightarrow$ \xmark]
|
|
|
|
Differences in actuation force influence muscle activity while typing.
|
|
|
|
\end{phga_hyp*}
|
|
|
|
|
|
|
|
%\subsection{Impact of an Adjusted Keyboard on Typing Speed, Error Rate and
|
|
|
|
% Satisfaction}
|
|
|
|
|
|
|
|
\subsection{Implications for the Adjusted Keyboard}
|
|
|
|
\label{sec:dis_hera}
|
|
|
|
|
|
|
|
As discussed in the previous sections, there were no statistically significant
|
|
|
|
differences in terms of satisfaction for any of the test keyboards, including
|
|
|
|
our adjusted keyboard \textit{Hera}. Still, the rather unconventional design
|
|
|
|
choice of non-uniform actuation forces across a keyboard did not negatively
|
|
|
|
influence the satisfaction compared to \textit{Aphrodite} which was often
|
|
|
|
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
|
|
|
|
first place with \textit{Aphrodite} and was never ranked 4th place during the
|
|
|
|
post-experiment interview (Figure \ref{fig:tkbs_ranking}). Since \textit{Hera},
|
|
|
|
among others, utilized keyswitches with light actuation force (35\,g), the
|
|
|
|
satisfaction could improve during prolonged usage, because of the longer
|
|
|
|
familiarization period required by keyboards with lighter actuation forces
|
|
|
|
\cite{gerard_keyswitch}. Interestingly, participant \textit{I3Z4XI7H} who
|
|
|
|
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
|
|
|
|
other keyboards. \textit{I3Z4XI7H} also reported in the post-experiment
|
|
|
|
interview, that \textit{Hera} was surprisingly pleasant to use and that pain was
|
|
|
|
significantly lower than with all other keyboards including
|
|
|
|
\textit{Own}. However, because of the nearly identical scores to
|
|
|
|
\textit{Aphrodite} in almost all categories, we have to reject our hypothesis,
|
|
|
|
that an adjusted keyboard is more satisfactory to use than standard keyboards.
|
|
|
|
|
|
|
|
\begin{phga_hyp*}[7 $\rightarrow$ \xmark]
|
|
|
|
An adjusted keyboard is perceived as more satisfactory to type with compared
|
|
|
|
to standard keyboards.
|
|
|
|
\end{phga_hyp*}
|
|
|
|
|
|
|
|
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
|
|
|
|
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\,\%)―
|
|
|
|
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
|
|
|
|
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
|
|
|
|
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
|
|
|
|
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
|
|
|
|
reject our two hypotheses regarding those improvements.
|
|
|
|
|
|
|
|
\begin{phga_hyp*}[5 $\rightarrow$ \xmark]
|
|
|
|
An adjusted keyboard improves typing speed compared to standard keyboards
|
|
|
|
(efficiency - speed).
|
|
|
|
\end{phga_hyp*}
|
|
|
|
|
|
|
|
\begin{phga_hyp*}[6 $\rightarrow$ \xmark]
|
|
|
|
An adjusted keyboard is perceived as more satisfactory to type with compared
|
|
|
|
to standard keyboards.
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\end{phga_hyp*}
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Our experiment basically revealed, that keyboards which utilized keyswitches
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with actuation forces that were neither too light (35\,g) nor too heavy (80\,g),
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generally outperformed keyboards which featured those extreme actuation
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forces. In the following section, we elaborate on possible limitations of our
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experimental design and future research that could be reasonable to further
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investigate advantages and disadvantages of adjusted keyboard designs.
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% ---
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