Complete vhar_system conclusion
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@@ -3,8 +3,8 @@ Among the various haptic texture augmentations, data-driven methods allow to cap
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Databases of visuo-haptic textures have been developed in this way \cite{culbertson2014one,balasubramanian2024sens3}, but they have not yet been explored in an immersive and direct touch context with \AR and wearable haptics.
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In this chapter, we investigate whether simultaneous and \textbf{co-localized visual and wearable haptic texture augmentation of tangible surfaces} in \AR can be perceived in a coherent and realistic manner, and to what extent each sensory modality would contribute to the overall perception of the augmented texture.
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We used nine pairs of \textbf{data-driven visuo-haptic textures} from the \HaTT database \cite{culbertson2014one}, which we rendered using the visuo-haptic system presented in \chapref{vhar_system}, an \OST-\AR headset, and a wearable voice-coil device worn on the finger.
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In a \textbf{user study}, 20 participants freely explored the combination of the visuo-haptic texture pairs to rate their coherence, realism and perceived roughness.
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We used nine pairs of \textbf{data-driven visuo-haptic textures} from the \HaTT database \cite{culbertson2014one}, which we rendered using the wearable visuo-haptic augmentatio nsystem presented in \chapref{vhar_system}.%, an \OST-\AR headset, and a wearable voice-coil device worn on the finger.
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In a \textbf{user study}, 20 participants freely explored in direct touch the combination of the visuo-haptic texture pairs to rate their coherence, realism and perceived roughness.
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We aimed to assess \textbf{which haptic textures were matched with which visual textures}, how the roughness of the visual and haptic textures was perceived, and whether \textbf{the perceived roughness} could explain the matches made between them.
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\noindentskip The contributions of this chapter are:
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