Evaluating Study Design and Strategies for Mitigating the Impact of Hand Tracking Loss

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Abstract

Social virtual reality uses motion tracking to place people in virtual environments as animated avatars. Often this tracking only measures the position and orientation of the head and hands, and from this estimates the body pose. Optical hand tracking is an important technology to enable such avatars, but can frequently fail and cause motion errors when the hands are visually obscured. This paper presents three amelioration strategies to handle these errors and demonstrates experimentally that all three are effective in reducing their impact. This setting is also used to explore general issues around study design for motion perception. Different strategies for presenting stimuli and soliciting input are compared. The presence of a simultaneous recall task is shown to reduce but not eliminate sensitivity to motion errors. Finally, it is shown that motion errors are interpreted, at least in part, as a shift in interlocutor personality.

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Ferstl, Y., McDonnell, R., & Neff, M. (2021). Evaluating Study Design and Strategies for Mitigating the Impact of Hand Tracking Loss. In Proceedings - SAP 2021: ACM Symposium on Applied Perception. Association for Computing Machinery, Inc. https://doi.org/10.1145/3474451.3476235

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