Players' Understanding of Adaptive AI-Generated Content and Its Relationship to Engagement and Performance in VR Exergames

Abstract

VR exergames combine fitness benefits with engaging gameplay, and adaptive AI offers opportunities to dynamically personalize intensity and feedback. We present iRow, a generative AI–powered VR rowing exergame that adapts scenes and AI-generated music in real time based on users’ physiological signals. In a mixed-methods study (N = 14), we examined how participants understood and responded to the system’s adaptive logic and how this related to trust, engagement, and performance. Results showed that participants generally trusted and adjusted to the system, even with partial understanding. Understanding was weakly associated with engagement but unrelated to exercise performance. Interviews revealed diverse preferences for explanation necessity and style. These findings suggest that providing intuitive, embodied feedback aligned with adaptive AI-generated content in VR exergames is more desirable for players than offering detailed explanations for fully understanding the adaptation mechanism.

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