The Effect of Visual Field Occlusion on Visually Induced Motion Sickness
aihara, t.; yamada, s.; ban, h.
Show abstract
Visually induced motion sickness (VIMS), characterized by symptoms such as dizziness, nausea, and postural instability, presents significant challenges in modern visual and interactive technologies. These symptoms undermine the immersion into and comfort of virtual and augmented reality (VR/AR) systems and reduce the usability of autonomous vehicles, highlighting the urgent need to address VIMS for broader adoption of these technologies. While previous studies have largely focused on the motion characteristics that induce VIMS, the impact of visual field configuration, such as segmentation and occlusion, has been largely unexplored. To bridge this gap, we conducted five human psychophysics experiments systematically investigating how visual field segmentation and masking influence VIMS under controlled three-dimensional optical flow conditions. Participants were exposed to different masking patterns, including variations in the number of divided sections, the masking of the central screen region, and the thickness of the masks. Paired-comparison methods were employed to assess participants susceptibility to VIMS under each condition. Our findings showed that visual field segmentation significantly influenced VIMS susceptibility. Specifically, the results revealed three key findings: (1) segmenting the visual field into multiple subsections using visual masks significantly increased VIMS susceptibility, (2) thinner masks exacerbated motion sickness more than thicker ones, and (3) masking the central region of the screen reduced susceptibility. These effects were independent of the presented motion patterns. Our findings offer new insights for optimizing the design of VR/AR systems, graphical user interfaces, and autonomous vehicles by highlighting the importance of visual field configuration in mitigating VIMS for improving user experience.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Top-Down Effects on Translucency Perception in Relation to Shape Cues 97%
- Did you see it? A Python tool for psychophysical assessment of the human blind spot 96%
- Influence of open-source virtual-reality based gaze training on navigation performance in Retinitis pigmentosa patients in a crossover randomized controlled trial 95%
Similar papers in this journal
Similar papers in this journal
- Perception of Rigidity in Three- and Four-Dimensional Spaces 96%
- Identification of Target Objects from Gaze Behavior during a Virtual Navigation Task 96%
- Let Me Make You Happy, And I'll Tell You How you look around: Using an Approach-Avoidance Task as an Embodied Emotion Prime in a Free-Viewing Task 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.