Literature DB >> 30892216

Design and Evaluation of Visualization Techniques of Off-Screen and Occluded Targets in Virtual Reality Environments.

Difeng Yu, Hai-Ning Liang, Kaixuan Fan, Heng Zhang, Charles Fleming, Konstantinos Papangelis.   

Abstract

This research explores the design and evaluation of visualization techniques of targets that reside outside of users' view or are occluded by other elements within a virtual reality environment (VE). We first compare four techniques (3DWedge, 3DArrow, 3DMinimap, and Radar) that can provide direction and distance information of targets. To give structure to their evaluation, we also develop a framework of four tasks (one for direction and three for distance) and their assessment criteria. The results show that 3DWedge is the best-performing and most usable technique. However, all techniques, including 3DWedge, have poor performance in dense scenarios with a large number of targets. To improve their support in dense scenarios, a fifth technique, 3DWedge+, is developed by using 3DWedge as its foundation and including the visual elements of the other three techniques that are useful. A second study is conducted to evaluate the performance of 3DWedge+ in relation to the other techniques. The results show that both 3DWedge and 3DWedge+ are significantly better in distinguishing user-to-target distance and that 3DWedge+ is particularly suitable for dense scenarios. Based on these results, we provide a set of recommendations for the design of visualization techniques of off-screen and occluded targets in 3D VE.

Year:  2019        PMID: 30892216     DOI: 10.1109/TVCG.2019.2905580

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  1 in total

1.  BioMove: Biometric User Identification from Human Kinesiological Movements for Virtual Reality Systems.

Authors:  Ilesanmi Olade; Charles Fleming; Hai-Ning Liang
Journal:  Sensors (Basel)       Date:  2020-05-22       Impact factor: 3.576

  1 in total

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