Modelling symmetry of activity as an indicator of collocated group collaboration

Roberto Martinez, Judy Kay, James R. Wallace, Kalina Yacef

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

22 Citations (Scopus)

Abstract

There are many contexts where it would be helpful to model the collaboration of a group. In learning settings, this is important for classroom teachers and for students learning collaboration skills. Our approach exploits the digital and audio footprints of the users' actions at collocated settings to automatically build a model of symmetry of activity. This paper describes our theoretical model of collaborative learning and how we implemented it. We use the Gini coefficient as a statistical indicator of symmetry of activity, which is itself an important indicator of collaboration. We built this model from a small-scale qualitative study based on concept mapping at an interactive tabletop. We then evaluated the model using a larger scale study based on a corpus of coded data from a multi-display groupware collocated setting. Our key contributions are the model of symmetry of activity as a foundation for modelling collaboration within groups that should have egalitarian participation, the operationalisation of the model and validation of the approach on both a small-scale qualitative study and a larger scale quantitative corpus of data.

Original languageEnglish
Title of host publicationUser Modeling, Adaption, and Personalization - 19th International Conference, UMAP 2011, Proceedings
PublisherSpringer
Pages207-218
Number of pages12
ISBN (Print)9783642223617
DOIs
Publication statusPublished - 2011
Externally publishedYes
EventInternational Conference on User Modelling, Adaptation, and Personalization (was AH and UM) 2011 - Girona, Spain
Duration: 11 Jul 201115 Jul 2011
Conference number: 19th
https://link.springer.com/book/10.1007/978-3-642-22362-4 (Conference Proceedings)

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6787 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Conference on User Modelling, Adaptation, and Personalization (was AH and UM) 2011
Abbreviated titleUMAP 2011
Country/TerritorySpain
CityGirona
Period11/07/1115/07/11
Internet address

Keywords

  • clustering
  • collaborative learning
  • collocated collaboration
  • group modelling
  • groupware
  • tabletop

Cite this