{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T14:23:13Z","timestamp":1761402193204,"version":"3.40.3"},"publisher-location":"Cham","reference-count":30,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030869922"},{"type":"electronic","value":"9783030869939"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-86993-9_7","type":"book-chapter","created":{"date-parts":[[2021,9,14]],"date-time":"2021-09-14T23:08:06Z","timestamp":1631660886000},"page":"67-78","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["A Computational Network Model for Shared Mental Models in Hospital Operation Rooms"],"prefix":"10.1007","author":[{"given":"Laila","family":"van Ments","sequence":"first","affiliation":[]},{"given":"Jan","family":"Treur","sequence":"additional","affiliation":[]},{"given":"Jan","family":"Klein","sequence":"additional","affiliation":[]},{"given":"Peter","family":"Roelofsma","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,9,15]]},"reference":[{"key":"7_CR1","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1038\/s42003-019-0740-8","volume":"3","author":"KL Alfred","year":"2020","unstructured":"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)","journal-title":"Commun. Biol."},{"issue":"5","key":"7_CR2","doi-asserted-by":"publisher","first-page":"1344","DOI":"10.1016\/j.ssci.2011.12.033","volume":"50","author":"MJ Burtscher","year":"2012","unstructured":"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\u20131354 (2012)","journal-title":"Saf. Sci."},{"key":"7_CR3","volume-title":"The Nature of Explanation","author":"KJW Craik","year":"1943","unstructured":"Craik, K.J.W.: The Nature of Explanation. University Press, Cambridge (1943)"},{"key":"7_CR4","unstructured":"De Kleer, J., Brown, J.: Assumptions and ambiguities in mechanistic mental models. In: Gentner, D., Stevens, A. (eds.) Mental models, pp. 155\u2013190. Lawrence Erlbaum Associates, Hillsdale (1983)"},{"key":"7_CR5","doi-asserted-by":"publisher","first-page":"1035","DOI":"10.1016\/j.leaqua.2010.10.007","volume":"21","author":"SD Dionne","year":"2010","unstructured":"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\u20131049 (2010)","journal-title":"Leadersh. Q."},{"key":"7_CR6","volume-title":"Organisational Decision Making","author":"B Fischhof","year":"1997","unstructured":"Fischhof, B., Johnson, S.: Organisational Decision Making. Cambridge University Press, Cambridge (1997)"},{"key":"7_CR7","doi-asserted-by":"publisher","first-page":"e17086","DOI":"10.7554\/eLife.17086","volume":"6","author":"M Garvert","year":"2017","unstructured":"Garvert, M., Dolan, R., Behrens, T.: A map of abstract relational knowledge in the human hippocampal\u2013entorhinal cortex. eLife. 6, e17086 (2017)","journal-title":"eLife."},{"issue":"3","key":"7_CR8","first-page":"74","volume":"4","author":"S Gehlert","year":"2020","unstructured":"Gehlert, S.: Developing a shared mental model of team functioning in the context of research. J. Psychiatry Psychiatr. Disord. 4(3), 74\u201381 (2020)","journal-title":"J. Psychiatry Psychiatr. Disord."},{"issue":"5","key":"7_CR9","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1177\/2516043518796442","volume":"23","author":"LM Gisick","year":"2018","unstructured":"Gisick, L.M., et al.: Measuring shared mental models in healthcare. J. Patient Saf. Risk Manag. 23(5), 207\u2013219 (2018)","journal-title":"J. Patient Saf. Risk Manag."},{"issue":"2","key":"7_CR10","doi-asserted-by":"publisher","first-page":"323","DOI":"10.1016\/j.bja.2017.10.021","volume":"120","author":"A Higgs","year":"2018","unstructured":"Higgs, A., et al.: Guidelines for the management of tracheal intubation of critically ill adults. Br. J. Anaesth. 120(2), 323\u2013352 (2018)","journal-title":"Br. J. Anaesth."},{"issue":"8","key":"7_CR11","doi-asserted-by":"publisher","first-page":"1129","DOI":"10.1080\/00140130050084914","volume":"43","author":"PE Jones","year":"2000","unstructured":"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\u20131152 (2000)","journal-title":"Ergonomics"},{"issue":"2","key":"7_CR12","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1037\/0021-9010.85.2.273","volume":"85","author":"JE Mathieu","year":"2000","unstructured":"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\u2013283 (2000)","journal-title":"J. Appl. Psychol."},{"key":"7_CR13","unstructured":"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"},{"key":"7_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"304","DOI":"10.1007\/978-3-642-39405-8_34","volume-title":"Virtual Augmented and Mixed Reality. Designing and Developing Augmented and Virtual Environments","author":"M Scheutz","year":"2013","unstructured":"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\u2013312. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-39405-8_34"},{"key":"7_CR15","doi-asserted-by":"crossref","unstructured":"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)","DOI":"10.1109\/CogSIMA51574.2021.9475925"},{"issue":"2","key":"7_CR16","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1080\/08886504.1993.10782084","volume":"26","author":"YF Shih","year":"1993","unstructured":"Shih, Y.F., Alessi, S.M.: Mental models and transfer of learning in computer programming. J. Res. Comput. Educ. 26(2), 154\u2013175 (1993)","journal-title":"J. Res. Comput. Educ."},{"issue":"1","key":"7_CR17","first-page":"32","volume":"2","author":"J Todd","year":"2018","unstructured":"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\u2013135 (2018)","journal-title":"BJM Leader"},{"key":"7_CR18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-45213-5","volume-title":"Network-Oriented Modeling: Addressing Complexity of Cognitive Affective and Social Interactions","author":"J Treur","year":"2016","unstructured":"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"},{"key":"7_CR19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-31445-3","volume-title":"Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental and Social Network Models","author":"J Treur","year":"2020","unstructured":"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"},{"key":"7_CR20","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1016\/j.cogsys.2021.06.001","volume":"79","author":"J Treur","year":"2021","unstructured":"Treur, J.: Mental models in the brain: on context-dependent neural correlates of mental models. Cogn. Syst. Res. 79, 83\u201390 (2021)","journal-title":"Cogn. Syst. Res."},{"key":"7_CR21","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1007\/978-3-030-77964-1_13","volume-title":"Computational Science \u2013 ICCS 2021","author":"L van Ments","year":"2021","unstructured":"van Ments, L., Treur, J.: A higher-order adaptive network model to simulate development of and recovery from PTSD. In: Paszynski, M., Kranzlm\u00fcller, D., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M.A. (eds.) Computational Science \u2013 ICCS 2021. LNCS, vol. 12743, pp. 154\u2013166. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-77964-1_13"},{"key":"7_CR22","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1016\/j.cogsys.2021.06.002","volume":"69","author":"L Van Ments","year":"2021","unstructured":"Van Ments, L., Treur, J.: Modeling adaptive cooperative and competitive metaphors as mental models for joint decision making. Cogn. Syst. Res. 69, 67\u201382 (2021)","journal-title":"Cogn. Syst. Res."},{"key":"7_CR23","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.cogsys.2021.06.004","volume":"70","author":"L Van Ments","year":"2021","unstructured":"Van Ments, L., Treur, J.: Reflections on dynamics, adaptation and control: a cognitive architecture for mental models. Cogn. Syst. Res. 70, 1\u20139 (2021)","journal-title":"Cogn. Syst. Res."},{"key":"7_CR24","unstructured":"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"},{"key":"7_CR25","doi-asserted-by":"crossref","unstructured":"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\u201367. Springer, Heidelberg (2016)","DOI":"10.1007\/978-3-319-50901-3_5"},{"issue":"1","key":"7_CR26","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s40649-017-0049-z","volume":"5","author":"L Van Ments","year":"2018","unstructured":"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\u201323 (2018). https:\/\/doi.org\/10.1186\/s40649-017-0049-z","journal-title":"Comput. Soc. Netw."},{"key":"7_CR27","doi-asserted-by":"crossref","unstructured":"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)","DOI":"10.1007\/978-3-030-85821-6_11"},{"key":"7_CR28","unstructured":"Williams, D.: The Mind as a Predictive Modelling Engine: Generative Models, Structural Similarity, and Mental Representation. Ph. D. Thesis, University of Cambridge, UK (2018)"},{"issue":"3","key":"7_CR29","first-page":"33","volume":"32","author":"A Wilson","year":"2019","unstructured":"Wilson, A.: Creating and applying shared mental models in the operating room. J. Perioper. Nurs. 32(3), 33\u201336 (2019)","journal-title":"J. Perioper. Nurs."},{"key":"7_CR30","doi-asserted-by":"publisher","unstructured":"Wise,\u00a0S., Duffield,\u00a0C., 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","DOI":"10.1177\/13558196211031285"}],"container-title":["Lecture Notes in Computer Science","Brain Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-86993-9_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,9]],"date-time":"2023-01-09T05:48:08Z","timestamp":1673243288000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-86993-9_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030869922","9783030869939"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-86993-9_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"15 September 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Brain Informatics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 September 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 September 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"brain2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/bi2021.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"90","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"49","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"54% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}