Item Infomation
Title: |
Using visual feedback to improve hand movement accuracy in confined-occluded spaces in virtual reality |
Authors: |
Yu, Wang Ziran, Hu Shouwen, Yao |
Issue Date: |
2023 |
Publisher: |
Springer |
Abstract: |
Accurate 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. |
Description: |
CC BY |
URI: |
https://link.springer.com/article/10.1007/s00371-022-02424-2 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7370 |
Appears in Collections |
OER - Công nghệ thông tin |
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