ArticleIEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA)2021
Towards an AI Coach to Infer Team Mental Model Alignment in Healthcare.
Article in IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed, 4 citations in OpenAlex.
- Evaluation of Large Language Models to Detect Team Mental Model Misalignments During Cardiac Surgery.The Hamlyn Symposium on Medical Robotics : proceedings · 2025Article
- The clinical application of artificial intelligence in cancer precision treatment.Journal of translational medicine · 2025Review
- AI-enhanced collective intelligence.Patterns (New York, N.Y.) · 2024Review
- Artificial intelligence in surgery.Nature medicine · 2024Review
- Deciphering the Diversity of Mental Models in Neurodevelopmental Disorders: Knowledge Graph Representation of Public Data Using Natural Language Processing.Journal of medical Internet research · 2022Article
- Association Between Operating Room Noise and Team Cognitive Workload in Cardiac Surgery.IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA) · 2022Article
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
Abstract
Shared mental models are critical to team success; however, in practice, team members may have misaligned models due to a variety of factors. In safety-critical domains (e.g., aviation, healthcare), lack of shared mental models can lead to preventable errors and harm. Towards the goal of mitigating such preventable errors, here, we present a Bayesian approach to infer misalignment in team members' mental models during complex healthcare task execution. As an exemplary application, we demonstrate our approach using two simulated team-based scenarios, derived from actual teamwork in cardiac surgery. In these simulated experiments, our approach inferred model misalignment with over 75% recall, thereby providing a building block for enabling computer-assisted interventions to augment human cognition in the operating room and improve teamwork.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.