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Time Perception in Virtual Reality: Effects of Emotional Valence and Stress Level (2505.07354v1)

Published 12 May 2025 in cs.HC

Abstract: Background & Objective: Emotional states and stress distort time perception, yet findings are inconsistent, particularly in immersive media. Integrating the Attentional Gate Model (AGM) and Internal Clock Model (ICM), we examined how emotional valence and stress alter perceived duration in Virtual Reality (VR). This study assesses the effects of valence (calming, neutral, stressful) and stress (low/high) on prospective time estimation, mood, and arousal. Methods: Fifty-four adults (18-39 years) explored three custom VR environments: (1) a tranquil Japanese garden, (2) an affectively neutral room, and (3) a threatening underground sewer. Active navigation promoted presence; a distraction task separated conditions. Valence and arousal were assessed with the Visual Analog Mood Scales, stress with the Perceived Stress Scale-10 (PSS-10), and perceived duration with a verbal estimation task. Mixed-model ANOVAs evaluated main and interaction effects. Results: Valence reliably shaped perceived duration: calming VR led to overestimation, stressful VR to underestimation, and neutral VR to intermediate timing. Baseline stress level, as measured by PSS-10, neither altered timing nor interacted with valence. Nevertheless, the VR environments affected VAMS' mood metrics: calming environments elevated mood and reduced perceived stress, whereas stressful environments lowered mood and heightened stress. Conclusions: Findings support the AGM-attentionally demanding negative environments shorten perceived time-and the ICM-valence-linked arousal speeds or slows the pacemaker. Contrary to classical predictions, in VR, baseline stress did not distort duration, suggesting valence-driven attentional allocation outweighs pre-exposure stress levels. VR offers a controllable platform for dissecting time-perception mechanisms and advancing interventions that target emotion-related temporal distortions.

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