Journal article

Fully-Occluded Target Selection in Virtual Reality.

Difeng Yu, Qiushi Zhou, Joshua Newn, Tilman Dingler, Eduardo Velloso, Jorge Goncalves

IEEE Transactions on Visualization and Computer Graphics | Institute of Electrical and Electronics Engineers | Published : 2020

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 us..

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Grants

Funding Acknowledgements

We thank our participants for their interest in the project and insightful discussions. We also appreciate the reviewers for their professionalism and dedication that helped improve our paper. This research was supported by the Melbourne Research Scholarship provided by The University of Melbourne.