BioVR: An Exploratory Study of Biofeedback-Driven Adaptive VR for Personalized and Sustained Fitness Intensity
Yuchen Zhao, Jay David Bolter, Kexin Chen, X Y Wang, Xintong Jiang, Zhao Ni · 2025
BioVR explores the integration of biofeedback into immersive virtual reality (VR) to create personalized fitness experiences.The prototype leverages heart rate data from smartwatches to dynamically adapt VR environments, encouraging users to sustain exercise intensity levels tailored to their biometric profiles.This study addresses key gaps in current VR fitness systems by focusing on realtime adaptability, engagement, and exercise intensity maintenance while mitigating challenges such as overexertion and disengagement during exercise.Additionally, this project explores a novel interaction method in VR, enabling users to gain a more tailored and immersive experience based on their internal physiological status.A pilot study was conducted to explore exercise intensity trends and user experience, revealing that participants in the BioVR condition maintained a moderate fitness level for a longer duration and reported a more satisfying experience.Future work will include formal user testing and expanding the system's applications, contributing to the evolving paradigm of human-computer integration in health and fitness.