Abstract
This paper describes a network model for mental processes making use of shared mental models (SMM) of team performance. The paper illustrates the value of adequate SMM’s for safe and efficient team performance. The addressed application context is that of a medical team performing a tracheal intubation executed by a nurse and a medical specialist. Simulations of successful and unsuccessful team performance have been performed, some of which are presented. The paper discusses potential further elaborations for future research as well as implications for other domains of team performance.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Alfred, K.L., Connolly, A.C., Cetron, J.S., et al.: Mental models use common neural spatial structure for spatial and abstract content. Commun. Biol. 3, 17 (2020)
Burtscher, M.J., Manser, T.: Team mental models and their potential to improve teamwork and safety: a review and implications for future research in healthcare. Saf. Sci. 50(5), 1344–1354 (2012)
Craik, K.J.W.: The Nature of Explanation. University Press, Cambridge (1943)
De Kleer, J., Brown, J.: Assumptions and ambiguities in mechanistic mental models. In: Gentner, D., Stevens, A. (eds.) Mental models, pp. 155–190. Lawrence Erlbaum Associates, Hillsdale (1983)
Dionne, S.D., Sayama, H., Hao, C., Bush, B.J.: The role of leadership in shared mental model convergence and team performance improvement: an agent-based computational model. Leadersh. Q. 21, 1035–1049 (2010)
Fischhof, B., Johnson, S.: Organisational Decision Making. Cambridge University Press, Cambridge (1997)
Garvert, M., Dolan, R., Behrens, T.: A map of abstract relational knowledge in the human hippocampal–entorhinal cortex. eLife. 6, e17086 (2017)
Gehlert, S.: Developing a shared mental model of team functioning in the context of research. J. Psychiatry Psychiatr. Disord. 4(3), 74–81 (2020)
Gisick, L.M., et al.: Measuring shared mental models in healthcare. J. Patient Saf. Risk Manag. 23(5), 207–219 (2018)
Higgs, A., et al.: Guidelines for the management of tracheal intubation of critically ill adults. Br. J. Anaesth. 120(2), 323–352 (2018)
Jones, P.E., Roelofsma, P.H.M.P.: The potential for social contextual and group biases in team decision making: biases, conditions and psychological mechanisms. Ergonomics 43(8), 1129–1152 (2000)
Mathieu, J.E., Hefner, T.S., Goodwin, G.F., Salas, E., Cannon-Bowers, J.A.: The influence of shared mental models on team process and performance. J. Appl. Psychol. 85(2), 273–283 (2000)
Outland, N.B.: A Computational Cognitive Architecture for Exploring Team Mental Models. College of Science and Health Theses and Dissertations. 289 (2019). https://via.library.depaul.edu/csh_etd/289
Scheutz, M.: Computational mechanisms for mental models in human-robot interaction. In: Shumaker, R. (ed.) Virtual Augmented and Mixed Reality. Designing and Developing Augmented and Virtual Environments. LNCS, vol. 8021, pp. 304–312. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-39405-8_34
Seo, S., Kennedy-Metz, L.R., Zenati, M.A., Shah, J.A., Dias, R.D., Unhelkar, V.V.: Towards an AI coach to infer team mental model alignment in healthcare. Department of Computer Science, Rice University Houston TX, USA (2021)
Shih, Y.F., Alessi, S.M.: Mental models and transfer of learning in computer programming. J. Res. Comput. Educ. 26(2), 154–175 (1993)
Todd, J.: Audit of compliance with WHO surgical safety checklist and building a shared mental model in the operating theatre. BJM Leader 2(1), 32–135 (2018)
Treur, J.: Network-Oriented Modeling: Addressing Complexity of Cognitive Affective and Social Interactions. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-45213-5
Treur, J.: Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental and Social Network Models. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-31445-3
Treur, J.: Mental models in the brain: on context-dependent neural correlates of mental models. Cogn. Syst. Res. 79, 83–90 (2021)
van Ments, L., Treur, J.: A higher-order adaptive network model to simulate development of and recovery from PTSD. In: Paszynski, M., Kranzlmüller, D., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M.A. (eds.) Computational Science – ICCS 2021. LNCS, vol. 12743, pp. 154–166. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-77964-1_13
Van Ments, L., Treur, J.: Modeling adaptive cooperative and competitive metaphors as mental models for joint decision making. Cogn. Syst. Res. 69, 67–82 (2021)
Van Ments, L., Treur, J.: Reflections on dynamics, adaptation and control: a cognitive architecture for mental models. Cogn. Syst. Res. 70, 1–9 (2021)
Van Ments, L., Treur, J., Klein, J., Roelofsma, P.H.M.P.: A second-order adaptive network model for shared mental models in hospital teamwork. In: Nguyen, N.T., et al. (eds.) Proceedings of the 13th International Conference on Computational Collective Intelligence, ICCCI 2021, Lecture Notes in AI, Springer, Heidelberg (2021). To appear
Van Ments, L., Treur, J., Roelofsma, P.H.M.P.: A temporal-causal network model for the relation between religion and human empathy. In: Cherifi, H., Gaito, S., Quattrociocchi, W., Sala, A. (eds.) Proceedings of the 5th International Workshop on Complex Networks and Their Applications V. Lecture Notes in Computer Science, vol. 693, pp. 55–67. Springer, Heidelberg (2016)
Van Ments, L., Treur, J., Roelofsma, P.H.M.P.: Modeling the effect of religion on human empathy based on an adaptive temporal-causal network model. Comput. Soc. Netw. 5(1), 1–23 (2018). https://doi.org/10.1186/s40649-017-0049-z
Van Ments, L., Treur, J., Roelofsma, P.H.M.P.: An adaptive network model for formation and use of a mental god-model and its effect on human empathy. In: Treur, J., van Ments, L. (eds.) Mental Models and their Dynamics, Adaptation, and Control: a Self-Modeling Network Modeling Approach. Springer, Heidelberg (2022)
Williams, D.: The Mind as a Predictive Modelling Engine: Generative Models, Structural Similarity, and Mental Representation. Ph. D. Thesis, University of Cambridge, UK (2018)
Wilson, A.: Creating and applying shared mental models in the operating room. J. Perioper. Nurs. 32(3), 33–36 (2019)
Wise, S., Duffield, C., Fry, M., Roche, M.: A team mental model approach to understanding team effectiveness in an emergency department: a qualitative study. J. Health Serv. Res. Policy (2021). https://doi.org/10.1177/13558196211031285
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
van Ments, L., Treur, J., Klein, J., Roelofsma, P. (2021). A Computational Network Model for Shared Mental Models in Hospital Operation Rooms. In: Mahmud, M., Kaiser, M.S., Vassanelli, S., Dai, Q., Zhong, N. (eds) Brain Informatics. BI 2021. Lecture Notes in Computer Science(), vol 12960. Springer, Cham. https://doi.org/10.1007/978-3-030-86993-9_7
Download citation
DOI: https://doi.org/10.1007/978-3-030-86993-9_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-86992-2
Online ISBN: 978-3-030-86993-9
eBook Packages: Computer ScienceComputer Science (R0)