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Conference Papers Year : 2022

Selection of Expanded Data Points in Immersive Analytics

Abstract

We propose a novel technique to facilitate the selection of data points, a type of data representation we often work with in immersive analytics. We designed and implemented this technique based on the expansion of data points following Fitt's law. A user study was conducted in an headset-based augmented reality environment. The results significantly highlight the performance of our technique in helping the user select data points and their subjective appreciation in working with the expendable data points.
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Dates and versions

hal-04408863 , version 1 (25-01-2024)

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Inoussa Ouedraogo, Huyen Nguyen, Patrick Bourdot. Selection of Expanded Data Points in Immersive Analytics. VRST '22: 28th ACM Symposium on Virtual Reality Software and Technology, Nov 2022, Tsukuba, Japan. pp.1-2, ⟨10.1145/3562939.3565645⟩. ⟨hal-04408863⟩
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