TY - GEN
T1 - Seated-WIP
T2 - 2024 CHI Conference on Human Factors in Computing Sytems, CHI 2024
AU - Chan, Liwei
AU - Mi, Tzu Wei
AU - Hsueh, Zung Hao
AU - Huang, Yi Ci
AU - Hsu, Ming Yun
N1 - Publisher Copyright:
© 2024 Copyright held by the owner/author(s)
PY - 2024/5/11
Y1 - 2024/5/11
N2 - We introduce Seated-WIP, a footstep-based locomotion technique tailored for users seated in confined spaces such as on an airplane. It emulates real-world walking using forefoot or rearfoot in-place stepping, enhancing embodiment while reducing fatigue for prolonged interactions. Our footstep-locomotion maps users' footstep motions to four locomotion actions: walking forward, turning-in-place, walking backward, and sidestepping. Our first study examined embodiment and fatigue levels across various sitting positions using forefoot, rearfoot, and fullfoot stepping methods. While all these methods effectively replicated walking, users favored the forefoot and rearfoot methods due to reduced fatigue. In our second study, we compared the footstep-locomotion to leaning- and controller-locomotion on a multitasking navigation task. Results indicate that footstep locomotion offers the best embodied sense of walking and has comparable fatigue levels to controller-locomotion, albeit with slightly reduced efficiency than controller-locomotion. In seated VR environments, footstep locomotion offers a harmonious blend of embodiment, fatigue mitigation, and efficiency.
AB - We introduce Seated-WIP, a footstep-based locomotion technique tailored for users seated in confined spaces such as on an airplane. It emulates real-world walking using forefoot or rearfoot in-place stepping, enhancing embodiment while reducing fatigue for prolonged interactions. Our footstep-locomotion maps users' footstep motions to four locomotion actions: walking forward, turning-in-place, walking backward, and sidestepping. Our first study examined embodiment and fatigue levels across various sitting positions using forefoot, rearfoot, and fullfoot stepping methods. While all these methods effectively replicated walking, users favored the forefoot and rearfoot methods due to reduced fatigue. In our second study, we compared the footstep-locomotion to leaning- and controller-locomotion on a multitasking navigation task. Results indicate that footstep locomotion offers the best embodied sense of walking and has comparable fatigue levels to controller-locomotion, albeit with slightly reduced efficiency than controller-locomotion. In seated VR environments, footstep locomotion offers a harmonious blend of embodiment, fatigue mitigation, and efficiency.
KW - foot-based interaction
KW - seated locomotion
KW - VR locomotion
KW - walking-in-place
UR - http://www.scopus.com/inward/record.url?scp=85194820559&partnerID=8YFLogxK
U2 - 10.1145/3613904.3642395
DO - 10.1145/3613904.3642395
M3 - Conference contribution
AN - SCOPUS:85194820559
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Sytems
PB - Association for Computing Machinery
Y2 - 11 May 2024 through 16 May 2024
ER -