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Fix acronyms

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Erwan Normand
2024-09-24 15:47:33 +02:00
parent 2dad3efdd0
commit ef188c1993
26 changed files with 165 additions and 159 deletions
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6
2-perception/ar-textures/3-results.tex
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@@ -12,7 +12,7 @@
The number in a cell is the proportion of times the corresponding haptic texture was selected in response to the presentation of the corresponding visual texture.
The diagonal represents the expected correct answers.
Holm-Bonferroni adjusted binomial test results are marked in bold when the proportion is higher than chance (\ie more than 11~\%, \pinf{0.05}).
\item Means with bootstrap 95~\% confidence interval of the three rankings of the haptic textures alone, the visual textures alone, and the visuo-haptic texture pairs.
\item Means with bootstrap 95~\% \CI of the three rankings of the haptic textures alone, the visual textures alone, and the visuo-haptic texture pairs.
A lower rank means that the texture was considered rougher, a higher rank means smoother.
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\subfig[0.58]{results/matching_confusion_matrix}%
@@ -50,7 +50,7 @@ To verify that the difficulty with all the visual textures was the same on the m
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As the \textit{Completion Time} results were Gamma distributed, they were transformed with a log to approximate a normal distribution.
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A linear mixed model (LMM) on the log \textit{Completion Time} with the \textit{Visual Texture} as fixed effect and the \textit{Participant} as random intercept was performed.
A \LMM on the log \textit{Completion Time} with the \textit{Visual Texture} as fixed effect and the \textit{Participant} as random intercept was performed.
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Normality was verified with a QQ-plot of the model residuals.
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@@ -169,7 +169,7 @@ This shows that the participants consistently identified the roughness of each v
\figref{results_questions} presents the questionnaire results of the matching and ranking tasks.
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A non-parametric analysis of variance based on the Aligned Rank Transform (ART) was used on the \textit{Difficulty} and \textit{Realism} question results, while the other question results were analyzed using Wilcoxon signed-rank tests.
A non-parametric \ANOVA on an \ART model was used on the \textit{Difficulty} and \textit{Realism} question results, while the other question results were analyzed using Wilcoxon signed-rank tests.
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On \textit{Difficulty}, there were statistically significant effects of \textit{Task} (\anova{1}{57}{13}, \pinf{0.001}) and of \textit{Modality} (\anova{1}{57}{8}, \p{0.007}), but no interaction effect \textit{Task} \x \textit{Modality} (\anova{1}{57}{2}, \ns).
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