A cognitive prosthesis for complex decision-making

Sébastien Tremblay*, Jean François Gagnon, Daniel Lafond, Helen M. Hodgetts, Maxime Doiron, Patrick P.J.M.H. Jeuniaux

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

While simple heuristics can be ecologically rational and effective in naturalistic decision making contexts, complex situations require analytical decision making strategies, hypothesis-testing and learning. Sub-optimal decision strategies – using simplified as opposed to analytic decision rules – have been reported in domains such as healthcare, military operational planning, and government policy making. We investigate the potential of a computational toolkit called “IMAGE” to improve decision-making by developing structural knowledge and increasing understanding of complex situations. IMAGE is tested within the context of a complex military convoy management task through (a) interactive simulations, and (b) visualization and knowledge representation capabilities. We assess the usefulness of two versions of IMAGE (desktop and immersive) compared to a baseline. Results suggest that the prosthesis helped analysts in making better decisions, but failed to increase their structural knowledge about the situation once the cognitive prosthesis is removed.

Original languageEnglish
Pages (from-to)349-360
Number of pages12
JournalApplied Ergonomics
Volume58
DOIs
Publication statusPublished - 5 Aug 2016

Keywords

  • Complex decision making
  • Knowledge representation
  • Visual analytics

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