Identifying recommendation opportunities for computer-supported collaborative environments

Collaborative indicators derived from participants' interactions can be used to support and improve their collaborative behaviour. In this research, we focus on automatically identifying recommendation opportunities in the Collaborative Logical Framework from participants' interactions. Di...

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Bibliographic Details
Published in:Expert systems 2016-10, Vol.33 (5), p.463-479
Main Authors: Lobo, Jesus L., Santos, Olga C., Boticario, Jesus G., Del Ser, Javier
Format: Article
Language:English
Subjects:
asynchronous interaction
Collaboration
collaborative systems
Collaborative virtual environments
computer-supported collaborative work
data mining
Expert systems
Grounds
Indicators
Personality
Personalized
Recommendations
Social aspects
Studies
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Summary:Collaborative indicators derived from participants' interactions can be used to support and improve their collaborative behaviour. In this research, we focus on automatically identifying recommendation opportunities in the Collaborative Logical Framework from participants' interactions. Different information sources have been considered: (a) statistical collaborative indicators; (b) social interactions; (c) opinions received by the participants via ratings; and (d) users' affective state and personality. The recommendations have been elicited considering the generality and transferability of the participants' interactions provided by the Collaborative Logical Framework. As a result, three scenarios have been identified that lead us to propose meaningful grouping suggestions and recommendations, which ultimately aimed to ground an informed personalized support to the participants in intensive collaborative frameworks.
ISSN:0266-4720
1468-0394
DOI:10.1111/exsy.12159