Authors:
Arjun Mehra
1
;
Arti Devi
1
;
Ananya Sharma
1
;
Sahil Rana
1
;
Shivam Kumar
1
;
K. V. Uday
2
and
Varun Dutt
1
Affiliations:
1
Applied Cognitive Science Lab, IIT Mandi, India
;
2
Geotechnical Engineering Lab, IIT Mandi, India
Keyword(s):
Landslide Probability, Time of Day, EEG Measures, Collision Analysis, Alpha/Theta Ratio, Alpha/Gamma Ratio, Beta/Gamma Ratio.
Abstract:
The potential of virtual reality for disaster preparedness is enormous, but little is known about how different landslide risks and environmental factors (day versus night) affect human reactions. Neurophysiological (alpha/theta, alpha/gamma, and beta/gamma ratios from EEG) and behavioral (Euclidean distance, collisions, and velocity around collisions) measures are combined in this study to investigate stress and cognitive engagement in landslide simulations. In order to expose 80 participants to varying landslide probabilities, they were randomly assigned to four groups with varying landslide risk and lighting conditions. Behavioral deviations and cognitive workload were significantly influenced by perceived risk rather than lighting conditions, according to the results. Electroencephalography (EEG) and behavioral outcomes were correlated, which emphasized how crucial integral analysis is to comprehending disaster responses. These results demonstrate how well virtual reality can dev
elop cognitive resilience and offer guidance for creating training plans that maximize performance in high-risk scenarios. This study develops dynamic, immersive VR-based disaster preparedness apps.
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