Enhancing Virtual Reality Usability With A ML Based Dynamic Adaptive System

Authors

Ananth Ramaseri-ChandraFollow
Hassan Reza, University of North DakotaFollow

Files

Description

Virtual reality (VR) holds tremendous potential, but cybersickness degrades the user experience. Since individuals vary, a one-size-fits-all design is insufficient. Our work introduces a dynamic adaptive system that personalizes VR experiences by learning individual cybersickness profiles from head-tracking data and sickness questionnaires while adjusting settings such as field of view and foveated rendering strength. Early results show that our system reduces post-exposure sickness scores, enhancing the user experience and highlighting the importance of personalizing VR.

Publication Date

2-28-2025

City

Grand Forks, ND

Disciplines

Artificial Intelligence and Robotics

Comments

Presented at the 2025 AI and Human Innovation showcase in Grand Forks, ND.

Recommended Citation

Ramaseri-Chandra, Ananth and Reza, Hassan, "Enhancing Virtual Reality Usability With A ML Based Dynamic Adaptive System" (2025). Computer Science Posters and Presentations. 4.
https://commons.und.edu/cs-pp/4