Identifying Behavioral Correlates to Visual Discomfort

Outside of self-report surveys, there are no proven, reliable methods to quantify visual discomfort or visually induced motion sickness symptoms when using head-mounted displays. While valuable tools, self-report surveys suffer from potential biases and low sensitivity due to variability in how respondents may assess and report their experience. Consequently, extreme visual-vestibular conflicts are generally used to induce discomfort symptoms large enough to measure reliably with surveys (e.g., stationary participants riding virtual roller coasters). An emerging area of research is the prediction of discomfort survey results from physiological and behavioral markers. However, the signals derived from experimental paradigms that are explicitly designed to be uncomfortable may not generalize to more naturalistic experiences where comfort is prioritized. In this work we introduce a custom VR headset designed to introduce significant near-eye optical distortion (i.e., pupil swim) to induce visual discomfort during more typical VR experiences. We evaluate visual comfort in our headset while users play the popular VR title Job Simulator and show that eye-tracked dynamic distortion correction improves visual comfort in a multi-session, within-subjects user study. We additionally use representational similarity analysis to highlight changes in head and gaze behavior that are potentially more sensitive to visual discomfort than surveys.

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Institutions

Publication Details

Journal
ACM Transactions on Graphics
Published
2024-11-19
DOI
https://doi.org/10.1145/3687929
Citations
3
Primary Topic
Virtual Reality Applications and Impacts
Type
article
Field-Weighted Citation Impact
1.12

Funders

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article

Identifying Behavioral Correlates to Visual Discomfort

James Wilmott, Dave Lindberg, David A. Tovar, Michael J. Proulx et al.
3 citations
ACM Transactions on Graphics
Virtual Reality Applications and Impacts
1.12
article

Identifying Behavioral Correlates to Visual Discomfort

James Wilmott, Dave Lindberg, David A. Tovar, Michael J. Proulx, Olivier Mercier, Daniel Martin, Phillip Guan, Xiuyun Wu, Yang Zhao
article en
3 citations

Abstract

Outside of self-report surveys, there are no proven, reliable methods to quantify visual discomfort or visually induced motion sickness symptoms when using head-mounted displays. While valuable tools, self-report surveys suffer from potential biases and low sensitivity due to variability in how respondents may assess and report their experience. Consequently, extreme visual-vestibular conflicts are generally used to induce discomfort symptoms large enough to measure reliably with surveys (e.g., stationary participants riding virtual roller coasters). An emerging area of research is the prediction of discomfort survey results from physiological and behavioral markers. However, the signals derived from experimental paradigms that are explicitly designed to be uncomfortable may not generalize to more naturalistic experiences where comfort is prioritized. In this work we introduce a custom VR headset designed to introduce significant near-eye optical distortion (i.e., pupil swim) to induce visual discomfort during more typical VR experiences. We evaluate visual comfort in our headset while users play the popular VR title Job Simulator and show that eye-tracked dynamic distortion correction improves visual comfort in a multi-session, within-subjects user study. We additionally use representational similarity analysis to highlight changes in head and gaze behavior that are potentially more sensitive to visual discomfort than surveys.

ACM Transactions on GraphicsVol. 43(6)
Vanderbilt University (US), Universidad de Zaragoza (ES), META Health (US)
European Regional Development Fund, Agencia Estatal de Investigación
Openalex Percentile: Top 21%
Virtual Reality Applications and Impacts
1.12
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