Towards collaboration translucence: giving meaning to multimodal group data

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Abstract

Collocated, face-to-face teamwork remains a pervasive mode of working, which is hard to replicate online. Team members’ embodied, multimodal interaction with each other and artefacts has been studied by researchers, but due to its complexity, has remained opaque to automated analysis. However, the ready availability of sensors makes it increasingly affordable to instrument work spaces to study teamwork and groupwork. The possibility of visualising key aspects of a collaboration has huge potential for both academic and professional learning, but a frontline challenge is the enrichment of quantitative data streams with the qualitative insights needed to make sense of them. In response, we introduce the concept of collaboration translucence, an approach to make visible selected features of group activity. This is grounded both theoretically (in the physical, epistemic, social and affective dimensions of group activity), and contextually (using domain-specific concepts). We illustrate the approach from the automated analysis of healthcare simulations to train nurses, generating four visual proxies that fuse multimodal data into higher order patterns.

Original languageEnglish
Title of host publicationProceedings of the 2019 CHI Conference on Human Factors in Computing Systems
EditorsAnna Cox, Vassilis Kostakos
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Number of pages16
ISBN (Electronic)9781450359702
DOIs
Publication statusPublished - 2019
Externally publishedYes
EventInternational Conference on Human Factors in Computing Systems 2019 - Glasgow, United Kingdom
Duration: 4 May 20199 May 2019
Conference number: 37th
https://chi2019.acm.org (Website)
https://dl.acm.org/doi/proceedings/10.1145/3290605 (Proceedings)

Conference

ConferenceInternational Conference on Human Factors in Computing Systems 2019
Abbreviated titleCHI 2019
Country/TerritoryUnited Kingdom
CityGlasgow
Period4/05/199/05/19
Internet address

Keywords

  • Collaboration
  • CSCW
  • Learning analytics
  • Pervasive computing

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