Fully-Occluded Target Selection in Virtual Reality

Yu, Difeng and Zhou, Qiushi and Newn, Joshua and Dingler, Tilman and Velloso, Eduardo and Goncalves, Jorge (2020) Fully-Occluded Target Selection in Virtual Reality. IEEE Transactions on Visualization and Computer Graphics, 26 (12). pp. 3402-3413. ISSN 1077-2626

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Abstract

The presence of fully-occluded targets is common within virtual environments, ranging from a virtual object located behind a wall to a datapoint of interest hidden in a complex visualization. However, efficient input techniques for locating and selecting these targets are mostly underexplored in virtual reality (VR) systems. In this paper, we developed an initial set of seven techniques techniques for fully-occluded target selection in VR. We then evaluated their performance in a user study and derived a set of design implications for simple and more complex tasks from our results. Based on these insights, we refined the most promising techniques and conducted a second, more comprehensive user study. Our results show how factors, such as occlusion layers, target depths, object densities, and the estimation of target locations, can affect technique performance. Our findings from both studies and distilled recommendations can inform the design of future VR systems that offer selections for fully-occluded targets.

Item Type:
Journal Article
Journal or Publication Title:
IEEE Transactions on Visualization and Computer Graphics
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1707
Subjects:
ID Code:
166877
Deposited By:
Deposited On:
01 Mar 2022 15:20
Refereed?:
Yes
Published?:
Published
Last Modified:
02 Mar 2022 05:46