Computational studies to understand the role of social learning in team familiarity and its effects on team performance

Singh, Vishal, Dong, Andy and Gero, John S. 2012, Computational studies to understand the role of social learning in team familiarity and its effects on team performance, CoDesign, vol. 8, no. 1, pp. 25-41.

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Title Computational studies to understand the role of social learning in team familiarity and its effects on team performance
Author(s) Singh, Vishal
Dong, Andy
Gero, John S.
Journal name CoDesign
Volume number 8
Issue number 1
Start page 25
End page 41
Total pages 17
Publisher Taylor & Francis
Place of publication Essex, U. K.
Publication date 2012
ISSN 1571-0882
1745-3755
Keyword(s) agent-based modelling
social learning
team communication
team familiarity
team mental models
team performance
Summary This paper concerns social learning modes and their effects on team performance. Social learning, such as by observing others' actions and their outcomes, allows members of a team to learn what other members know. Knowing what other members know can reduce task communication and co-ordination overhead, which helps the team to perform faster since members can devote their attention to their tasks. This paper describes agent-based simulation studies using a computational model that implements different social learning modes as parameters that can be controlled in the simulations. The results show that social learning from both direct and indirect observations positively contributes to learning about what others know, but the value of social learning is sensitive to prior familiarity such that minimum thresholds of team familiarity are needed to realise the benefits of social learning. This threshold increases with task complexity. These findings clarify the level of influence that sociality has on social learning and sets up a formal framework by which to conduct studies on how social context influences learning and group performance.
Language eng
Field of Research 120399 Design Practice and Management not elsewhere classified
089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 890202 Application Tools and System Utilities
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2012, Taylor & Francis
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044321

Document type: Journal Article
Collection: School of Architecture and Built Environment
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