Computational psychometrics for modeling system dynamics during stressful disasters

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

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Article number1401
JournalFrontiers in Psychology
Volume8
Issue numberAUG
DOIs
Publication statusPublished - Aug 15 2017
Externally publishedYes

Keywords

  • Communication
  • Computational psychometrics
  • Disaster management
  • Modeling
  • Psychological stress
  • Psychometrics

ASJC Scopus subject areas

  • Psychology(all)

Fingerprint Dive into the research topics of 'Computational psychometrics for modeling system dynamics during stressful disasters'. Together they form a unique fingerprint.

Cite this