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@@ -1,7 +1,7 @@
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\subsubsection{Grasp Task}
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\subsection{Grasp Task}
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\label{sec:grasp}
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\subsubsubsection{Completion Time}
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\subsubsection{Completion Time}
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\label{sec:grasp_tct}
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On the time to complete a trial, there was one statistically significant effect %
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@@ -11,7 +11,7 @@ but not of Hand (\anova{5}{2868}{1.8}, \p{0.1}, see \figref{results/Grasp-Comple
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Targets on the back and the left (N, NW, and W) were slower than targets on the front (SW, S, and SE, \p{0.003}) {except for} NE (back-right) which was also fast.
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\subsubsubsection{Contacts}
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\subsubsection{Contacts}
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\label{sec:grasp_contacts_count}
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On the number of contacts, there were two statistically significant effects: %
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@@ -29,7 +29,7 @@ But, surprisingly, only Tips and Mesh were statistically significantly better, n
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Targets on the back and left were more difficult (N, NW, and W) than targets on the front (SW, S, and SE, \pinf{0.001}).
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\subsubsubsection{Time per Contact}
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\subsubsection{Time per Contact}
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\label{sec:grasp_time_per_contact}
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On the mean time spent on each contact, there were two statistically significant effects: %
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@@ -49,7 +49,7 @@ The Tips rendering seemed to provide one of the best feedback for the grasping,
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This time was the shortest on the front S than on the other target volumes (\pinf{0.001}).
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\subsubsubsection{Grip Aperture}
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\subsubsection{Grip Aperture}
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\label{sec:grasp_grip_aperture}
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On the average distance between the thumb's fingertip and the other fingertips during grasping, there were two
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