TY - GEN
T1 - Exploring Head-based Mode-Switching in Virtual Reality
AU - Shi, Rongkai
AU - Zhu, Nan
AU - Liang, Hai Ning
AU - Zhao, Shengdong
N1 - Funding Information:
The authors wish to thank the participants for their time and the reviewers for their insightful comments that have helped improve the paper. This work was supported in part by Jiaotong-Liverpool University (XJTLU) Key Special Fund (No: KSF-A-03) and the National Research Foundation, Singapore under its AI Singapore Programme (AISG Award No: AISG2-RP-2020-016).
Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Mode-switching supports multilevel operations using a limited number of input methods. In Virtual Reality (VR) head-mounted displays (HMD), common approaches for mode-switching use buttons, controllers, and users’ hands. However, they are inefficient and challenging to do with tasks that require both hands (e.g., when users need to use two hands during drawing operations). Using head gestures for mode-switching can be an efficient and cost-effective way, allowing for a more continuous and smooth transition between modes. In this paper, we explore the use of head gestures for mode-switching especially in scenarios when both users’ hands are performing tasks. We present a first user study that evaluated eight head gestures that could be suitable for VR HMD with a dual-hand line-drawing task. Results show that move forward, move backward, roll left, and roll right led to better performance and are preferred by participants. A second study integrating these four gestures in Tilt Brush, an open-source painting VR application, is conducted to further explore the applicability of these gestures and derive insights. Results show that Tilt Brush with head gestures allowed users to change modes with ease and led to improved interaction and user experience. The paper ends with a discussion on some design recommendations for using head-based mode-switching in VR HMD.
AB - Mode-switching supports multilevel operations using a limited number of input methods. In Virtual Reality (VR) head-mounted displays (HMD), common approaches for mode-switching use buttons, controllers, and users’ hands. However, they are inefficient and challenging to do with tasks that require both hands (e.g., when users need to use two hands during drawing operations). Using head gestures for mode-switching can be an efficient and cost-effective way, allowing for a more continuous and smooth transition between modes. In this paper, we explore the use of head gestures for mode-switching especially in scenarios when both users’ hands are performing tasks. We present a first user study that evaluated eight head gestures that could be suitable for VR HMD with a dual-hand line-drawing task. Results show that move forward, move backward, roll left, and roll right led to better performance and are preferred by participants. A second study integrating these four gestures in Tilt Brush, an open-source painting VR application, is conducted to further explore the applicability of these gestures and derive insights. Results show that Tilt Brush with head gestures allowed users to change modes with ease and led to improved interaction and user experience. The paper ends with a discussion on some design recommendations for using head-based mode-switching in VR HMD.
KW - Empirical studies in HCI
KW - Human computer interaction (HCI)
KW - Human-centered computing
KW - Interaction paradigms
KW - Virtual reality
UR - http://www.scopus.com/inward/record.url?scp=85118937484&partnerID=8YFLogxK
U2 - 10.1109/ISMAR52148.2021.00026
DO - 10.1109/ISMAR52148.2021.00026
M3 - Conference Proceeding
AN - SCOPUS:85118937484
T3 - Proceedings - 2021 IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2021
SP - 118
EP - 127
BT - Proceedings - 2021 IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2021
A2 - Marchal, Maud
A2 - Ventura, Jonathan
A2 - Olivier, Anne-Helene
A2 - Wang, Lili
A2 - Radkowski, Rafael
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 20th IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2021
Y2 - 4 October 2021 through 8 October 2021
ER -