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Explore a 10-minute IEEE conference talk that investigates how brain activity relates to time perception in virtual reality environments. Learn how researchers from the University of Luxembourg used EEG to identify neural signatures associated with different time perception states (overestimation, correct estimation, and underestimation). Discover how they implemented various time perception modulators and analyzed neural oscillations through time-frequency analysis to identify distinct EEG spectral signatures. Understand the implications of this research for creating more immersive VR experiences that can dynamically adapt to users' mental states such as stress, focus, and boredom - aspects that are typically difficult to measure objectively compared to physical characteristics like movement and posture. This presentation from the "Perception and cognition" session offers valuable insights for VR developers and researchers interested in enhancing user experience through neurophysiological monitoring.
