A socio-technical holistic agent based model to assess cockpit supporting tools performance variability

Research output: Contribution to journalArticleResearchpeer-review

Abstract

The mesh of information that influence a human actor in its decision-making process is difficult to formalize and more difficult to validate. Stochastic approaches to represent human performance provides a fast modelling approach that can be statistically validated, however, do not contribute to a better understanding of performance variability consequences neither the design of mitigation mechanisms in critical processes. Better modelling approaches are needed to support a deeper understanding of the causes of a poor performance and the propagation mechanisms that spark emergent behavior and its effects. In this paper it is presented an agent based modeling framework to identify those factors that affects the performance of the pilot flying cockpit functionalities considering different socio-technical operational conditions. As a result, it is expected the design of new cognitive computing supporting tools to improve pilot situational awareness.

Original languageAmerican English
Pages (from-to)122-127
Number of pages6
JournalIFAC-PapersOnLine
Volume52
Issue number11
DOIs
Publication statusPublished - 2019

Keywords

  • Agent Based Modelling
  • Functional Resonance Analysis Method
  • Influence Variables
  • Socio-Technical Systems

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