“Effective Visual Feedback for Virtual Grasping” by Imaizumi and Sato – ACM SIGGRAPH HISTORY ARCHIVES

“Effective Visual Feedback for Virtual Grasping” by Imaizumi and Sato

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Title:

    Effective Visual Feedback for Virtual Grasping

Session/Category Title:   Augmented & Virtual Reality


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Abstract:


    We examine effectiveness of visual feedback in virtual grasping with a bare hand. We propose two visual feedback that can generate a pseudo-haptics. Quantitative and qualitative evaluation revealed that the proposed visual feedback improved the accuracy of performing a pick-and-drop task and was preferred more than the existing visual feedback.

References:


    [1]
    Ryan Canales, Aline Normoyle, Yu Sun, Yuting Ye, Massimiliano Di Luca, and Sophie J?rg. 2019. Virtual Grasping Feedback and Virtual Hand Ownership. In ACM Symposium on Applied Perception 2019. Article 4, 9 pages.

    [2]
    Mores Prachyabrued and Christoph W. Borst. 2016. Design and Evaluation of Visual Interpenetration Cues in Virtual Grasping. IEEE Transactions on Visualization and Computer Graphics 22, 6 (2016), 1718?1731.


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