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WIP visuo-haptic hand

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Erwan Normand
2024-09-25 22:09:12 +02:00
parent e7f732bf3d
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25 changed files with 169 additions and 289 deletions
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2-perception/xr-perception/4-results.tex
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@@ -12,14 +12,14 @@ Only the best converging models are reported, with the lowest Akaike Information
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Post-hoc pairwise comparisons were performed using the Tukey's \HSD test.
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Each estimate is reported with its 95\% \CI as follows: \ci{\textrm{lower limit}}{\textrm{upper limit}}.
Each estimate is reported with its \percent{95} \CI as follows: \ci{\textrm{lower limit}}{\textrm{upper limit}}.
\subsubsection{Discrimination Accuracy}
\label{discrimination_accuracy}
A \GLMM was adjusted to the \response{Texture Choice} in the \TIFC vibrotactile texture roughness discrimination task, with by-participant random intercepts but no random slopes, and a probit link function (\figref{results/trial_predictions}).
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The \PSEs (\figref{results/trial_pses}) and \JNDs (\figref{results/trial_jnds}) for each visual rendering and their respective differences were estimated from the model, along with their corresponding 95\% \CI, using a non-parametric bootstrap procedure (1000 samples).
The \PSEs (\figref{results/trial_pses}) and \JNDs (\figref{results/trial_jnds}) for each visual rendering and their respective differences were estimated from the model, along with their corresponding \percent{95} \CI, using a non-parametric bootstrap procedure (1000 samples).
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A \PSE represents the estimated amplitude difference at which the comparison texture was perceived as rougher than the reference texture 50\% of the time. %, \ie it is the accuracy of participants in discriminating vibrotactile roughness.
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@@ -34,7 +34,7 @@ The \level{Real} rendering had the lowest \JND (\percent{26} \ci{23}{29}), the \
All pairwise differences were statistically significant.
\begin{subfigs}{discrimination_accuracy}{Results of the vibrotactile texture roughness discrimination task. }[
Curves represent predictions from the \GLMM model (probit link function), and points are estimated marginal means with non-parametric bootstrap 95\% confidence intervals.
Curves represent predictions from the \GLMM model (probit link function), and points are estimated marginal means with non-parametric bootstrap \percent{95} confidence intervals.
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\item Proportion of trials in which the comparison texture was perceived as rougher than the reference texture, as a function of the amplitude difference between the two textures and the visual rendering.
\item Estimated \PSE of each visual rendering.
@@ -74,7 +74,7 @@ All pairwise differences were statistically significant: \level{Real} \vs \level
%This means that within the same time window on the same surface, participants explored the comparison texture on average at a greater distance and at a higher speed when in the real environment without visual representation of the hand (\level{Real} condition) than when in \VR (\level{Virtual} condition).
\begin{subfigs}{results_finger}{Results of the performance metrics for the rendering condition. }[
Boxplots and geometric means with bootstrap 95~\% \CI, with Tukey's \HSD pairwise comparisons: * is \pinf{0.05}, ** is \pinf{0.01} and *** is \pinf{0.001}.
Boxplots and geometric means with bootstrap \percent{95} \CI, with Tukey's \HSD pairwise comparisons: * is \pinf{0.05}, ** is \pinf{0.01} and *** is \pinf{0.001}.
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\item Response time at the end of a trial.
\item Distance travelled by the finger in a trial.