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

Martinez-Maldonado, R; Buckingham-Shum, S; Pechenizkiy, M; Power, T; Hayes, C; Axisa, C

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

Martinez-Maldonado, R

Buckingham-Shum, S

Pechenizkiy, M Power, T

Hayes, C

Axisa, C

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Publication Type:: Conference Proceeding
Citation:: UMAP 2017 - Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017, pp. 308 - 312
Issue Date:: 2017-07-09

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Field	Value	Language
dc.contributor.author	Martinez-Maldonado, R https://orcid.org/0000-0002-8375-1816	en_US
dc.contributor.author	Buckingham-Shum, S https://orcid.org/0000-0002-6334-7429	en_US
dc.contributor.author	Pechenizkiy, M	en_US
dc.contributor.author	Power, T https://orcid.org/0000-0002-3334-0322	en_US
dc.contributor.author	Hayes, C https://orcid.org/0000-0003-0495-3186	en_US
dc.contributor.author	Axisa, C	en_US
dc.date.issued	2017-07-09	en_US
dc.identifier.citation	UMAP 2017 - Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017, pp. 308 - 312	en_US
dc.identifier.isbn	9781450346351	en_US
dc.identifier.uri	http://hdl.handle.net/10453/126760
dc.description.abstract	©2017 ACM. 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.	en_US
dc.relation.ispartof	UMAP 2017 - Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization	en_US
dc.relation.isbasedon	10.1145/3079628.3079697	en_US
dc.title	Modelling embodied mobility teamwork strategies in a simulation-based healthcare classroom	en_US
dc.type	Conference Proceeding
utslib.for	0806 Information Systems	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (Teaching and Learning)
pubs.organisational-group	/University of Technology Sydney/DVC (Teaching and Learning)/Connected Intelligence Centre
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
pubs.organisational-group	/University of Technology Sydney/Faculty of Health/Nursing
pubs.organisational-group	/University of Technology Sydney/Strength - CHSP - Health Services and Practice
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

©2017 ACM. 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.

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http://hdl.handle.net/10453/126760