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Abstract

Landslides pose a risk to lives and infrastructure, yet human responses are understudied. We employed virtual reality here to simulate landslide risk and measure perceived risk and lighting impact on driving performance and arousal. Eighty subjects drove in VR for four conditions: high versus low landslide risk and day versus night. We recorded collisions, speed, course deviation, and heart rate variability (mean RR interval, PNN50, Sympathetic Nervous System Index). High landslide risk increased collisions, speed, and course deviation, demonstrating risk-induced control impairment. Surprisingly, HRV changes were associated with lighting: nighttime driving increased sympathetic activation and decreased mean RR, reflecting increased arousal. Results imply visual demands might contribute more to autonomic response than hazard probability. Employing immersive VR with psychophysiological measures provides a novel approach to investigate disaster cognition and create training tools for improved hazard navigation and stress regulation.

Keywords

virtual reality disaster preparedness landslides human factors heart rate variability risk perception

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References

Chittaro

Ranon

(2009). Serious games for training occupants of a building in personal fire safety skills. 2009 Conference in Games and Virtual Worlds for Serious Applications (pp.76–83). https://doi.org/10.1109/VS-GAMES.2009.17

Zhang

Guo

(2021). Virtual reality for disaster simulation: A review. Virtual Reality, 25, 919–938. https://doi.org/10.1007/s10055-020-00469-5

Gross

Klamer

Röser

Vetter

(2023). Enhancing decision-making in emergency situations through immersive simulation training. Safety Science, 158, 105996. https://doi.org/10.1016/j.ssci.2022.105996

Highland

L. M.

Bobrowsky

P. T.

(2008). The landslide handbook—A guide to understanding landslides. U.S. Geological Survey Circular, 1325.

Kahneman

(1973). Attention and effort. Prentice-Hall.

Kumar

Sankhyan

Tripathi

Rao

Bhavsar

Dutt

. (2024, October). VRZM: Exploring the Psycho-physiological Benefits of Zen Meditation in Immersive Environments. In 2024 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) (pp. 265–272). IEEE.

Lang

P. J.

Bradley

M. M.

Cuthbert

B. N.

(1990). Emotion, attention, and the startle reflex. Psychological Review, 97(3), 377–395. https://doi.org/10.1037/0033-295X.97.3.377

Makransky

Borre-Gude

Mayer

R. E.

(2019). Motivational and cognitive benefits of training in immersive virtual reality based on multiple assessments. Journal of Computer Assisted Learning, 35(6), 691–707. https://doi.org/10.1111/jcal.12375

Owens

D. A.

Sivak

(1996). Differentiation of visibility and alcohol as contributors to twilight road fatalities. Human Factors, 38(4), 680–689. https://doi.org/10.1518/001872096778827075

10.

Petley

(2012). Global patterns of loss of life from landslides. Geology, 40(10), 927–930. https://doi.org/10.1130/g33217.1

11.

Plainis

Murray

I. J.

Pallikaris

I. G.

(2005). Road traffic casualties: Understanding the night-time death toll. Injury Prevention, 12(2), 125–128. https://doi.org/10.1136/ip.2005.010827

12.

Shaffer

Ginsberg

J. P.

(2017). An overview of heart rate variability metrics and norms. Frontiers in Public Health, 5, 258. https://doi.org/10.3389/fpubh.2017.00258

13.

Smith

M. R.

Ericson

K. A.

(2009). Using decision training to improve tactical behavior and stress responses in disaster scenarios. Human Factors, 51(3), 299–313. https://doi.org/10.1177/0018720809338875

14.

Thayer

J. F.

Åhs

Fredrikson

Sollers

J. J.

Wager

T. D.

(2012). A meta-analysis of heart rate variability and neuroimaging studies: Implications for heart rate variability as a marker of stress and health. Neuroscience and Biobehavioral Reviews, 36(2), 747–756. https://doi.org/10.1016/j.neubiorev.2011.11.009

15.

World Medical Association. (2013). Declaration of Helsinki: Ethical principles for medical research involving human subjects. Journal of the American Medical Association, 310(20), 2191–2194. https://doi.org/10.1001/jama.2013.281053

Virtual Reality Meets Landslides: Understanding Human Responses to Improve Disaster Readiness

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