Computational Psychometrics for Modeling System Dynamics during Stressful Disasters

Abstract

Disasters can be very stressful events. However, computational models of stress require data that might be very difficult to collect during disasters. Moreover, personal experiences are not repeatable, so it is not possible to collect bottom-up information when building a coherent model. To overcome these problems, we propose the use of computational models and virtual reality integration to recreate disaster situations, while examining possible dynamics in order to understand human behavior and relative consequences. By providing realistic parameters associated with disaster situations, computational scientists can work more closely with emergency responders to improve the quality of interventions in the future.

Applications of virtual and augmented reality in infectious disease epidemics with a focus on the COVID-19 outbreak

“…By simulating the real world, VR has the potential to be used in any infectious outbreaks or disaster situations for improving preparedness against pandemics by considering various aspects, such as human behaviors, disaster consequences, and experiences [ 27 , 28 ]. In disaster medicine, VR has more applications in education, professional skills training, popularization of disaster medical knowledge, and post-disaster psychotherapy [ 29 ].…”