Towards a not obtrusive low cost biosystem to assess risk perception in workplace through stress detection

Emanuele Bellinni, Serena Benevenuti, Chara Batistini

Research output: Contribution to conferencePaperpeer-review

Abstract

The main aim of the article is to build a method to assess risk perception in real time in order to early detect and prevent risk behaviors and possible human errors. To this end, the relation between mental workload and stress as critical factors affecting risk perception has been investigated. In particular the mental-physical activation generated by an increment of the workload has the effect of reducing the resources needed to perceive risk increasing the worker vulnerability. The complexity of the stress phenomenon suggested the adoption of an integrated view. The Functional Model has been adopted to for its holistic perspective (body-mind integration) and for the capability of being operationalized with physiological computing. In fact, limits of the current self reporting and subjective assessment methods prevent the possibility to have timely information to take decison. Finally a preliminary overview of how to implement a low cost not obtrusive biosystem to detect stress and assess in real time risk perception is presented.
Original languageEnglish
DOIs
Publication statusPublished - 2017
Externally publishedYes
EventH-Workload 2017 - Dublin, Ireland
Duration: 28 Jun 201730 Jun 2017

Conference

ConferenceH-Workload 2017
Country/TerritoryIreland
CityDublin
Period28/06/1730/06/17
OtherThe first international symposium on human mental workload

Keywords

  • risk perception
  • mental workload
  • stress
  • human errors
  • worker vulnerability
  • physiological computing
  • biosystem

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