Lau, LMS, Dimitrova, VG, Yang-Turner, F et al. (3 more authors) (2014) Understanding collaborative sensemaking behaviour using semantic types in interaction data. In: Neves-Silva, R, Tshirintzis, GA, Uskpv, V, Howlett, RJ and Jair, LC, (eds.) Smart Digital Futures 2014. Frontiers in Artificial Intelligence and Applications, 262 . IOS Press , 190 - 199. ISBN 978-1-61499-404-6
Abstract
This paper presents a trial study to gain insight into collaborative sensemaking behaviour. We use a generic argumentation tool to capture interaction data, which is then analyzed by exploiting collaboration-specific semantic types. A Community Behaviour Analytics Tool, CommBAT, was developed. Further studies were conducted to visualize the different patterns in the collaborative behaviour. Initial findings show the power of semantics in helping to detect a series of sensemaking behaviour patterns.
Metadata
| Authors/Creators: |
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| Keywords: | Collaborative workspace; sensemaking; analytic tool; behaviour pattern |
| Dates: |
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| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds) The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Institute for Computational and Systems Science (Leeds) |
| Depositing User: | Symplectic Publications |
| Date Deposited: | 06 Oct 2014 11:32 |
| Last Modified: | 03 Nov 2016 02:42 |
| Published Version: | http://dx.doi.org/10.3233/978-1-61499-405-3-190 |
| Status: | Published |
| Publisher: | IOS Press |
| Series Name: | Frontiers in Artificial Intelligence and Applications |
| Identification Number: | https://doi.org/10.3233/978-1-61499-405-3-190 |
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