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Remove "see" before section or figure reference

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Erwan Normand
2024-09-16 12:57:05 +02:00
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2-perception/ar-textures/3-results.tex
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@@ -86,11 +86,11 @@ These results indicate, with \figref{results_matching_ranking} (right), that the
\label{results_similarity}
\begin{subfigs}{results_similarity}{%
(Left) Correspondence analysis of the matching task confusion matrix (see \figref{results_matching_ranking}, left).
(Left) Correspondence analysis of the matching task confusion matrix (\figref{results_matching_ranking}, left).
The visual textures are represented as blue squares, the haptic textures as red circles. %
The closer the textures are, the more similar they were judged. %
The first dimension (horizontal axis) explains 60~\% of the variance, the second dimension (vertical axis) explains 30~\% of the variance.
(Right) Dendrograms of the hierarchical clusterings of the haptic textures (left) and visual textures (right) of the matching task confusion matrix (see \figref{results_matching_ranking}, left), using Euclidian distance and Ward's method. %
(Right) Dendrograms of the hierarchical clusterings of the haptic textures (left) and visual textures (right) of the matching task confusion matrix (\figref{results_matching_ranking}, left), using Euclidian distance and Ward's method. %
The height of the dendrograms represents the distance between the clusters. %
}
\begin{minipage}[c]{0.50\linewidth}%
@@ -105,15 +105,15 @@ These results indicate, with \figref{results_matching_ranking} (right), that the
\end{minipage}%
\end{subfigs}
The high level of agreement between participants on the three haptic, visual and visuo-haptic rankings (see \secref{results_ranking}), as well as the similarity of the within-participant rankings, suggests that participants perceived the roughness of the textures similarly, but differed in their strategies for matching the haptic and visual textures in the matching task (see \secref{results_matching}).
The high level of agreement between participants on the three haptic, visual and visuo-haptic rankings (\secref{results_ranking}), as well as the similarity of the within-participant rankings, suggests that participants perceived the roughness of the textures similarly, but differed in their strategies for matching the haptic and visual textures in the matching task (\secref{results_matching}).
%
To further investigate the perceived similarity of the haptic and visual textures and to identify groups of textures that were perceived as similar on the matching task, a correspondence analysis and a hierarchical clustering were performed on the matching task confusion matrix (see \figref{results_matching_ranking}, left).
To further investigate the perceived similarity of the haptic and visual textures and to identify groups of textures that were perceived as similar on the matching task, a correspondence analysis and a hierarchical clustering were performed on the matching task confusion matrix (\figref{results_matching_ranking}, left).
The correspondence analysis captured 60~\% and 29~\% of the variance in the first and second dimensions, respectively, with the remaining dimensions each accounting for less than 5~\% each.
%
\figref{results_similarity} (left) shows the first two dimensions with the 18 haptic and visual textures.
%
The first dimension was similar to the rankings (see \figref{results_matching_ranking}, right), distributing the textures according to their perceived roughness.
The first dimension was similar to the rankings (\figref{results_matching_ranking}, right), distributing the textures according to their perceived roughness.
%
It seems that the second dimension opposed textures that were perceived as hard with those perceived as softer, as also reported by participants.
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@@ -121,13 +121,13 @@ Stiffness is indeed an important perceptual dimension of a material~\cite{okamot
\figref{results_similarity} (right) shows the dendrograms of the two hierarchical clusterings of the haptic and visual textures, constructed using the Euclidean distance and the Ward's method on squared distance.
%
The four identified haptic texture clusters were: "Roughest" \{Metal Mesh, Sandpaper~100, Brick~2, Cork\}; "Rougher" \{Sandpaper~320, Velcro Hooks\}; "Smoother" \{Plastic Mesh~1, Terra Cotta\}; "Smoothest" \{Coffee Filter\} (see \figref{results_similarity}, top-right).
The four identified haptic texture clusters were: "Roughest" \{Metal Mesh, Sandpaper~100, Brick~2, Cork\}; "Rougher" \{Sandpaper~320, Velcro Hooks\}; "Smoother" \{Plastic Mesh~1, Terra Cotta\}; "Smoothest" \{Coffee Filter\} (\figref{results_similarity}, top-right).
%
Similar to the haptic ranks (see \figref{results_matching_ranking}, right), the clusters could have been named according to their perceived roughness.
Similar to the haptic ranks (\figref{results_matching_ranking}, right), the clusters could have been named according to their perceived roughness.
%
It also shows that the participants compared and ranked the haptic textures during the matching task to select the one that best matched the given visual texture.
%
The five identified visual texture clusters were: "Roughest" \{Metal Mesh\}; "Rougher" \{Sandpaper~100, Brick~2, Velcro Hooks\}; "Medium" \{Cork, Plastic Mesh~1\}; "Smoother" \{Sandpaper~320, Terra Cotta\}; "Smoothest" \{Coffee Filter\} (see \figref{results_similarity}, bottom-right).
The five identified visual texture clusters were: "Roughest" \{Metal Mesh\}; "Rougher" \{Sandpaper~100, Brick~2, Velcro Hooks\}; "Medium" \{Cork, Plastic Mesh~1\}; "Smoother" \{Sandpaper~320, Terra Cotta\}; "Smoothest" \{Coffee Filter\} (\figref{results_similarity}, bottom-right).
%
They are also easily identifiable on the visual ranking results, which also made it possible to name them.