TY - GEN
T1 - An Exploration of Hands-free Text Selection for Virtual Reality Head-Mounted Displays
AU - Meng, Xuanru
AU - Xu, Wenge
AU - Liang, Hai Ning
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Hand-based interaction, such as using a handheld controller or making hand gestures, has been widely adopted as the primary method for interacting with both virtual reality (VR) and augmented reality (AR) head-mounted displays (HMDs). In contrast, hands-free interaction avoids the need for users' hands and although it can afford additional benefits, there has been limited research in exploring and evaluating hands-free techniques for these HMDs. As VR HMDs become ubiquitous, people will need to do text editing, which requires selecting text segments. Similar to hands-free interaction, text selection is underexplored. This research focuses on both, text selection via hands-free interaction. Our exploration involves a user study with 24 participants to investigate the performance, user experience, and workload of three hands-free selection mechanisms (Dwell, Blink, Voice) to complement head-based pointing. Results indicate that Blink outperforms Dwell and Voice in completion time. Users' subjective feedback also shows that Blink is the preferred technique for text selection. This work is the first to explore handsfree interaction for text selection in VR HMDs. Our results provide a solid platform for further research in this important area.
AB - Hand-based interaction, such as using a handheld controller or making hand gestures, has been widely adopted as the primary method for interacting with both virtual reality (VR) and augmented reality (AR) head-mounted displays (HMDs). In contrast, hands-free interaction avoids the need for users' hands and although it can afford additional benefits, there has been limited research in exploring and evaluating hands-free techniques for these HMDs. As VR HMDs become ubiquitous, people will need to do text editing, which requires selecting text segments. Similar to hands-free interaction, text selection is underexplored. This research focuses on both, text selection via hands-free interaction. Our exploration involves a user study with 24 participants to investigate the performance, user experience, and workload of three hands-free selection mechanisms (Dwell, Blink, Voice) to complement head-based pointing. Results indicate that Blink outperforms Dwell and Voice in completion time. Users' subjective feedback also shows that Blink is the preferred technique for text selection. This work is the first to explore handsfree interaction for text selection in VR HMDs. Our results provide a solid platform for further research in this important area.
KW - Empirical studies in interaction design
KW - Hands-free Interaction
KW - Human computer interaction (HCI)
KW - Human-centered computing
KW - Interaction design
KW - Interaction paradigms
KW - Text Selection
KW - User Study
KW - Virtual Reality
KW - Virtual reality
KW - interaction techniques
UR - http://www.scopus.com/inward/record.url?scp=85138667559&partnerID=8YFLogxK
U2 - 10.1109/ISMAR55827.2022.00021
DO - 10.1109/ISMAR55827.2022.00021
M3 - Conference Proceeding
AN - SCOPUS:85138667559
T3 - Proceedings - 2022 IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2022
SP - 74
EP - 81
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 -