6th International ICST Conference on Collaborative Computing: Networking, Applications, Worksharing

Research Article

Facilitating understanding of team-based adaptation policies

Download354 downloads
  • @INPROCEEDINGS{10.4108/icst.collaboratecom.2010.60,
        author={Syed Sajid Hussain and Dirk Veiel and Joerg M. Haake and Stephan Lukosch},
        title={Facilitating understanding of team-based adaptation policies},
        proceedings={6th International ICST Conference on Collaborative Computing: Networking, Applications, Worksharing},
        publisher={IEEE},
        proceedings_a={COLLABORATECOM},
        year={2011},
        month={5},
        keywords={Context adaptation collaboration environment context enriched explanation socially related communication partner process support and the meta-design framework},
        doi={10.4108/icst.collaboratecom.2010.60}
    }
    
  • Syed Sajid Hussain
    Dirk Veiel
    Joerg M. Haake
    Stephan Lukosch
    Year: 2011
    Facilitating understanding of team-based adaptation policies
    COLLABORATECOM
    ICST
    DOI: 10.4108/icst.collaboratecom.2010.60
Syed Sajid Hussain1,*, Dirk Veiel1,*, Joerg M. Haake1,*, Stephan Lukosch2,*
  • 1: Faculty of Mathematics and Computer Science, FernUniversität in Hagen, 58084 Hagen, Germany
  • 2: Faculty of Technology, Policy, and Management, Delft University of Technology, PO box 5015, 2600 GA Delft, the Netherlands
*Contact email: sajid.shah@fernuni-hagen.de, dirk.veiel@fernuni-hagen.de, joerg.haake@fernuni-hagen.de, s.g.lukosch@tudelft.nl

Abstract

Knowledge work in modern organizations is increasingly performed collaboratively by distributed teams. Such collaboration involves dynamically changing situations. Making the collaboration environment fit the needs of these situations is supported by system-initiated adaptation based on the user and team context. Adaptation in the collaboration environment may confuse the users, because they cannot remember all adaptation policies. In this paper we propose an approach to present context enriched explanations to help them understand the adaptation behavior. Also, we describe a social network analysis strategy to identify socially related and current situation relevant communication partners. Integrated on demand communication is facilitated among these partners for discussion and understanding the adaptation policies.