Modelling embodied mobility teamwork strategies in a simulation-based healthcare classroom

Roberto Martinez-Maldonado, Simon Buckingham-Shum, Mykola Pechenizkiy, Tamara Power, Carolyn Hayes, Carmen Axisa

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

4 Citations (Scopus)


In many situations, it remains critical for team members to develop strategies to effectively use the space and tools available to complete demanding tasks. However, despite the availability of sensors and analytics for instrumenting physical space, relatively little progress has been made in modelling the embodied dimensions of co-located teamwork. This paper explores an in-The-wild pilot study through which we explore a methodology to model embodied mobility teamwork strategies in the context of healthcare education. We developed the means for tracking, clustering and processing student-nurses' mobility data around a patient manikin. We illustrate the feasibility of our approach by discussing ways to make sense of these data to uncover meaningful trends, and the inherent challenges of applying physical space analytics in authentic settings.

Original languageEnglish
Title of host publicationUMAP'17 - Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization
EditorsFederica Cena, Michel Desmarais
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Number of pages5
ISBN (Electronic)9781450346351
Publication statusPublished - 2017
Externally publishedYes
EventInternational Conference on User Modelling, Adaptation, and Personalization (was AH and UM) 2017 - Bratislava, Slovakia
Duration: 9 Jul 201712 Jul 2017
Conference number: 25th (Proceedings)


ConferenceInternational Conference on User Modelling, Adaptation, and Personalization (was AH and UM) 2017
Abbreviated titleUMAP 2017
Internet address


  • Collaboration
  • Computer vision
  • Group modelling
  • Physical analytics
  • Proximity data
  • Simulation-based learning
  • Teamwork

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