Reducing Virtual Reality Sickness for Cyclists in VR Bicycle Simulators

Motion Sickness & Passenger ExperienceMicromobility (E-bike, E-scooter) InteractionImmersion & Presence ResearchCyclists (Bicycle / E-bike / E-scooter)Pedestrians & Vulnerable Road Users

Title of the Paper

Reducing Virtual Reality Sickness for Cyclists in VR Bicycle Simulators

Paper Information

  • Subject Area: Virtual Reality (VR) Technology, User Research, Immersive Interaction
  • Keywords: Virtual Reality, Cycling, VR Sickness, Bicycle Simulators, Haptic Feedback, Field of View Restriction, Airflow, User Experience, Immersion, Experimental Design

Research Background and Problem

  • In current virtual reality bicycle simulators, the mismatch between visual feedback and physical motion often induces VR sickness, leading to decreased cycling performance and negatively impacting the immersive experience.
  • VR sickness is a common issue, primarily caused by sensory conflicts between the visual and vestibular systems, as well as optical flow effects in complex trajectories (e.g., turning or uphill environments).
  • The goal of this study is to address these issues while maintaining high precision and immersive cycling performance.

Solutions

Methods or Solutions:

  • First Study: Comparison of three bicycle steering methods (handlebar steering, head rotation, upper body leaning) and their effects on VR sickness.
  • Second Study: Investigation of VR sickness mitigation strategies across three motion trajectories (1D straight line, 2D turning, 3D slopes), including airflow, dynamic field of view (FoV) restriction, and head-mounted vibration feedback.

Innovations in the Solutions:

  1. Conducted a systematic investigation of the impact of steering methods on VR sickness, demonstrating that traditional handlebar steering is the most suitable.
  2. Proposed three novel VR sickness mitigation techniques and empirically evaluated them (airflow, dynamic FoV restriction, head-mounted vibration feedback).
  3. Designed detailed experiments that balanced cycling performance and VR sickness mitigation.

Implementation Steps and Key Technologies:

  • Built a VR bicycle simulation environment using Unity and Steam VR.
  • Conducted practical experiments (N=18 and N=24) to examine the effects of steering methods and motion types on VR sickness and user experience.
  • Simulated realistic environments using hardware devices (e.g., air fans, FoV restriction algorithms, vibration modules).
  • Analyzed results using quantitative tools such as VR sickness assessment scales (SSQ/FMS), task completion time, and participant feedback.

Research Outcomes

Specific Results:

  • First Experiment:
    • Handlebar steering resulted in the lowest levels of VR sickness.
    • This method performed best in terms of accuracy, task completion time, and usability ratings.
  • Second Experiment:
    • Higher motion dimensions (e.g., turning, slopes) significantly increased VR sickness intensity.
    • Airflow mechanisms proved to be the most effective VR sickness mitigation measure across all motion trajectories.

Advantages Compared to Existing Solutions:

  • Systematically compared different steering and mitigation mechanisms.
  • Provided scientific data to validate the combined effectiveness of traditional hardware and auxiliary devices (e.g., fans, vibration feedback).

Experimental or Evaluation Results:

  • Airflow mechanisms achieved the highest subjective satisfaction and further enhanced immersion.
  • Upper body leaning for steering resulted in the highest VR sickness incidence and discomfort.
  • Dynamic FoV restriction and vibration feedback had limitations in user experience (e.g., unnatural visual changes, distracting vibrations).

Limitations and Future Directions:

  • The VR environment lacked environmental audio or traffic scenarios, which may limit the generalizability of the findings.
  • The age range of participants was limited (21-34 years), necessitating validation across other age groups.
  • Suggested future directions include integrating vehicle dynamic platforms (e.g., Stewart platforms) to further optimize the immersive experience.

Conclusion

This paper presents two experiments that comprehensively analyze user steering habits and VR sickness mitigation techniques. Through scientific methods, it enhances the reliability and practicality of VR bicycle simulator design while providing strong evidence for airflow as a core method to reduce VR sickness.

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https://hci.top/en/papers/chi/68787/2022

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DOI: https://dl.acm.org/doi/abs/10.1145/3491102.3501959
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Source
CHI
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Year
2022
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7 authors
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Subtopics
Motion Sickness & Passenger Experience, Micromobility (E-bike, E-scooter) Interaction, Immersion & Presence Research
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Cyclists (Bicycle / E-bike / E-scooter), Pedestrians & Vulnerable Road Users
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