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Semantic Scholar · Article (Aviation Psychology and Applied Human Factors)

Policy Capturing to Support Pilot Decision-Making

Published 2023-02-08 From Aviation Psychology and Applied Human Factors 5 authors

Attribution

This is the abstract and citation. Full text lives at Semantic Scholar — we link out rather than host. All credit to the authors and Aviation Psychology and Applied Human Factors.

Abstract

Verbatim from Semantic Scholar. Not paraphrased, not summarized.

Abstract. Single-pilot operations are cognitively challenging for pilots and could benefit from decision-support tools to mitigate risk-prone situations. The Cognitive Shadow is a prototype tool that employs policy capturing, a data-driven technique used to model decisions, to learn users’ judgement policies and alert decision discrepancies from one’s decision pattern. This proof-of-concept study investigates the potential of policy capturing to model pilots’ policies facing unstable approaches. Pilots were presented simulated cases and asked whether to continue descent or to go-around while the policy-capturing tool learned their decision pattern and provided feedback. Individual models reached mean predictive accuracy of ~ 89% while the group model reached 100%. These results speak to the potential of extracting pilots’ knowledge using policy capturing to create decision aids.

Authors

  • Alexandre Marois
  • Daniel Lafond
  • Amandine Audouy
  • Hugo Boronat
  • P. Mazoyer

Keywords

  • Engineering
  • Computer Science

Citation: Alexandre Marois, Daniel Lafond, Amandine Audouy , et al. (2023). Policy Capturing to Support Pilot Decision-Making. Aviation Psychology and Applied Human Factors. Semantic Scholar ID 3e98e3165319aa353f4ebf17bfffaece0768704e. https://doi.org/10.1027/2192-0923/a000237 ↗