Continuous Measurement Methods for Transient Physiological Discomfort in VR Locomotion

要旨

Motion sickness, in addition to its persistent long-term effects, also exhibits short-term effects characterized as transient physiological discomfort, which changes rapidly with variations in locomotion. However, such discomforts are challenging to assess using current subjective scales and objective physiological measurements. To tackle this issue, this paper suggests continuous measurement methods designed specifically for evaluating transient physiological discomfort during VR locomotion. Through a user-elicitation study, three preferred measurement methods—'squeezing ball', 'sliding thumb', and 'rubbing thigh'—were identified. These techniques were then evaluated for reliability, validity, attention, presence, and workload, with 'sliding thumb' identified as the most effective option. The paper expands traditional measurement methods to capture users' physiological experiences in VR interactions, offering practical choices for researchers in this field along with an in-depth discussion of design considerations, detailed implementation guidelines, and potential ways to optimize the VR experiences utilizing the measurement data.

著者
Tianren Luo
Institute of Software, Beijing, China
Pengxiang Wang
Information Engineering College,Capital Normal University, Beijing, China
Shuting Chang
Tongji University College of Design and Innovation, Shanghai, China
Ke Zhou
Hongkong University of Science and Technology (GuangZhou)), GuangZhou, China
Nianlong Li
Institute of Software, Chinese Academy of Sciences, Beijing, China
Yulong Bian
Shandong University, Weihai, Shandong, China
Xiaohui Tan
Capital Normal University, Beijing, China
Qi Wang
Tongji University, Shanghai, China
Teng Han
Institute of Software, Chinese Academy of Sciences, Beijing, China
Feng Tian
Institute of software, Chinese Academy of Sciences, Beijing, China

会議: CHI 2026

ACM CHI Conference on Human Factors in Computing Systems

セッション: Mixed-Reality Systems for Spatial Understanding and Navigation

P1 - Room 128
6 件の発表
2026-04-17 18:00:00
2026-04-17 19:30:00