Evaluation of Text Selection Techniques in Virtual Reality Head-Mounted Displays

Xu, Wenge and Meng, Xuanru and Yu, Kangyou and Sarcar, Sayan and Liang, Hai-Ning (2022) Evaluation of Text Selection Techniques in Virtual Reality Head-Mounted Displays. In: IEEE International Symposium on Mixed and Augmented Reality, 17th Oct - 21st Oct 2022, Singapore.

ISMAR_2022_Text_Selection__Open_access_bcu_.pdf - Accepted Version

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Text selection is an essential activity in interactive systems, including virtual reality (VR) headmounted displays (HMDs). It is useful for: sharing information across apps or platforms, highlighting and making notes while reading articles, and text editing tasks. Despite its usefulness, the space of text selection interaction is underexplored in VR HMDs. In this research, we performed a user study with 24 participants to investigate the performance and user preference of six text selection techniques (Controller+Dwell, Controller+Click, Head+Dwell, Head+Click, Hand+Dwell, Hand+Pinch). Results reveal that Head+Click is ranked first since it has excellent speed-accuracy performance (2nd fastest task completion speed with 3rd lowest total error rate), provides the best user experience, and produces a very low workload—followed by Controller+Click, which has the fastest speed and comparable experience with Head+Click, but much higher total error rate. Other methods can also be useful depending on the goals of the system or the users. As a first systematic evaluation of pointing×selection techniques for text selection in VR, the results of this work provide a strong foundation for further research in this area of growing importance to the future of VR to help it become a more ubiquitous and pervasive platform.

Item Type: Conference or Workshop Item (Paper)
Identification Number: https://doi.org/10.1109/ISMAR55827.2022.00027
16 August 2022Accepted
31 December 2022Published Online
Uncontrolled Keywords: Text Selection, Virtual Reality, Pointing Methods, Selection Mechanisms, User Study
Subjects: CAH11 - computing > CAH11-01 - computing > CAH11-01-01 - computer science
Divisions: Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology
Depositing User: Wenge Xu
Date Deposited: 31 Aug 2022 10:21
Last Modified: 22 Mar 2023 12:00
URI: https://www.open-access.bcu.ac.uk/id/eprint/13495

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