Abstract
AbstractAccurate and informative hand-object collision feedback is of vital importance for hand manipulation in virtual reality (VR). However, to our best knowledge, the hand movement performance in fully-occluded and confined VR spaces under visual collision feedback is still under investigation. In this paper, we firstly studied the effects of several popular visual feedback of hand-object collision on hand movement performance. To test the effects, we conducted a within-subject user study (n=18) using a target-reaching task in a confined box. Results indicated that users had the best task performance with see-through visualization, and the most accurate movement with the hybrid of proximity-based gradation and deformation. By further analysis, we concluded that the integration of see-through visualization and proximity-based visual cue could be the best compromise between the speed and accuracy for hand movement in the enclosed VR space. On the basis, we designed a visual collision feedback based on projector decal,which incorporates the advantages of see-through and color gradation. In the end, we present demos of potential usage of the proposed visual cue.
Funder
national natural science foundation of china
Publisher
Springer Science and Business Media LLC
Subject
Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software
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