An EEG Dataset of Exploring Navigation in Virtual Reality

To investigate the neural correlates of navigation strategies and social interactions in immersive environments, we present a novel dataset combining electroencephalography (EEG) and behavioral metrics during virtual reality (VR)-based spatial and social navigation tasks. The dataset includes synchronized EEG recordings and behavioral measures (navigation efficiency, spatial trajectory, and emotion assessment) to enable integrated analysis of neurocognitive mechanisms underlying navigation and social behaviors, particularly in individuals with varying anxiety levels. Preprocessed and analyzed, this dataset advances research on VR as a tool for studying cognitive processes. It may serve as a resource for interdisciplinary studies bridging cognitive neuroscience, VR, and social psychology. Additionally, our findings may provide preliminary insights for the potential development of VR-based therapeutic interventions aimed at enhancing cognitive and social functioning, pending validation in clinical populations.