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An EEG Dataset of Exploring Navigation in Virtual Reality.

Junyuan Zheng1, Xuanji Chen1, Haiyan Wu2

  • 1Centre for Cognitive and Brain Sciences, Department of Psychology, University of Macau, Macau, China.

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|December 11, 2025
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Summary

This study introduces a new dataset combining electroencephalography (EEG) and behavior metrics from virtual reality (VR) navigation tasks. This resource aids research into cognitive processes and potential VR therapies for social and navigation skills.

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Area of Science:

  • Cognitive Neuroscience
  • Virtual Reality Research
  • Social Psychology

Background:

  • Investigating neural mechanisms of navigation and social interaction is crucial for understanding human cognition.
  • Virtual Reality (VR) offers immersive environments for studying these complex behaviors.
  • Existing research often lacks integrated neurophysiological and behavioral data, especially concerning anxiety levels.

Purpose of the Study:

  • To present a novel, synchronized dataset of electroencephalography (EEG) and behavioral metrics from VR-based spatial and social navigation tasks.
  • To facilitate integrated analysis of neurocognitive processes underlying navigation and social behaviors.
  • To explore potential applications in understanding anxiety's impact and developing VR-based interventions.

Main Methods:

  • Collected synchronized electroencephalography (EEG) data during virtual reality (VR) navigation tasks.
  • Recorded behavioral metrics including navigation efficiency, spatial trajectory, and emotion assessment.
  • Preprocessed and analyzed the combined neurophysiological and behavioral data.

Main Results:

  • The dataset enables comprehensive analysis of neural correlates of navigation strategies and social interactions.
  • It provides insights into how individuals with varying anxiety levels perform spatial and social navigation tasks.
  • Preliminary findings suggest potential for VR-based interventions to enhance cognitive and social functioning.

Conclusions:

  • The presented dataset is a valuable resource for cognitive neuroscience, VR research, and social psychology.
  • It advances the understanding of neurocognitive mechanisms in immersive environments.
  • The findings offer preliminary support for the development of VR therapeutic tools for cognitive and social enhancement.