Computational psychometrics for modeling system dynamics during stressful disasters

Giuseppe Riva, Pietro Cipresso, Elisa Pedroli, Alessandro Bessi, Desirée Colombo

Risultato della ricerca: Contributo in rivistaArticolo in rivistapeer review

2 Citazioni (Scopus)

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.
Lingua originaleEnglish
pagine (da-a)1401-N/A
RivistaFrontiers in Psychology
Volume8
DOI
Stato di pubblicazionePubblicato - 2017

Keywords

  • Communication
  • Computational psychometrics
  • Disaster management
  • Modeling
  • Psychological stress
  • Psychology (all)
  • Psychometrics

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