Adaptive Shared Mental Models for Medical Teams

Gülay Canbaloğlu, Laila van Ments, Jan Treur, Jan Klein, P.H.M.P. Roelofsma

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

This paper describes how second-order adaptive network models for mental processes can be used to model and support (shared) mental models for team performance and organizational learning. The paper illustrates on the one hand the value of adequate shared mental models for safe and efficient team and organizational performance. On the other hand it illustrates cases of imperfections of such shared team models in practice and how this complicates the team and organisational performance. To this end, the controlled adaptive network models can cover use, adaptation and control of a shared mental model and its learning. It is illustrated for an application context of a medical team and organization performance. Simulations illustrate how such adaptive network models are able to address the type of complications that can occur in realistic scenarios and also how better shared mental models can be learnt by organisational learning through aggregation of the best individual mental models. The paper discusses implications for healthcare safety and future research.
Original languageEnglish
Title of host publicationSafety Management and Human Factors
Subtitle of host publicationProceedings of the 13th AHFE International Conference on Safety, Management and Human Factors, New York, USA, July 24-28, 2022
EditorsPedro Arezes, Anne Garcia
Place of PublicationNew York, NY
PublisherAHFE International
Pages103-108
Number of pages6
ISBN (Electronic)9781958651407
DOIs
Publication statusPublished - 2022

Publication series

NameOpen Access Science in Human Factors Engineering and Human Centered Computing
PublisherAHFE International
Volume64

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