TY - GEN
T1 - Evaluation of Text Selection Techniques in Virtual Reality Head-Mounted Displays
AU - Xu, Wenge
AU - Meng, Xuanru
AU - Yu, Kangyou
AU - Sarcar, Sayan
AU - Liang, Hai Ning
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Text selection is an essential activity in interactive systems, including virtual reality (VR) head-mounted 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 speedaccuracy 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.
AB - Text selection is an essential activity in interactive systems, including virtual reality (VR) head-mounted 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 speedaccuracy 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.
KW - Empirical studies in interaction design
KW - Human computer interaction (HCI)
KW - Human-centered computing
KW - Interaction design
KW - Interaction paradigms
KW - Pointing Methods
KW - Selection Mechanisms
KW - Text Selection
KW - User Study
KW - Virtual Reality
KW - Virtual reality; Human-centered computing
KW - interaction techniques; Human-centered computing
UR - https://www.scopus.com/pages/publications/85138262030
U2 - 10.1109/ISMAR55827.2022.00027
DO - 10.1109/ISMAR55827.2022.00027
M3 - Conference Proceeding
AN - SCOPUS:85138262030
T3 - Proceedings - 2022 IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2022
SP - 131
EP - 140
BT - Proceedings - 2022 IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2022
A2 - Duh, Henry
A2 - Williams, Ian
A2 - Grubert, Jens
A2 - Jones, J. Adam
A2 - Zheng, Jianmin
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 21st IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2022
Y2 - 17 October 2022 through 21 October 2022
ER -