Modeling Locomotion with Body Angular Movements in Virtual Reality

要旨

This study proposes a time prediction model for locomotion along a polyline path with body angular movements in Virtual Reality (VR). We divide such locomotion into two components: navigating in multiple line-segment paths and turning at line-segment intersections. In the first component, locomotion in each line-segment path consists of acceleration, maximum velocity, and deceleration phases. We formulated equations to estimate the locomotion time for each phase and then accumulated them to model the total time. In the second component, a linear relationship was revealed between task time and turning angles. We established an integrated model based on the equations of the two components and verified the effectiveness of the model with three experiments. The results indicate that our model outperformed two baseline models with a greater R^2 and a smaller gap between the predicted and actual time. Our study benefits VR locomotion design with body angular movements.

著者
Zijun Mai
Jinan University, Guangzhou, China
BoYu Gao
Jinan University, Guangzhou, China
Huawei Tu
La Trobe University, Melbourne, Australia
Dasheng Li
Jinan University, Guangzhou, Guangdong, China
HyungSeok Kim
Department of Computer Engineering, Konkuk University, Seoul, Korea, Republic of
Weiqi Luo
College of Information Science and Technology/Cyber Security, Jinan University, Guangzhou, China
DOI

10.1145/3706598.3713864

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713864

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: AR, VR, and Social VR

G318+G319
7 件の発表
2025-04-30 01:20:00
2025-04-30 02:50:00
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