Towards a Personalized Assistance in Distributed Group Facilitation

With the advancement of group decision support systems (GDSS), facilitation has been regarded as one of the most important means in enhancing the outcome of group decisions. Many researchers have spent great efforts in creating useful methodologies and techniques to better support group facilitation. However, most of the research in the current literature deals more with facilitation targeted at a group-level than an individual level. With the increasingly available personalization techniques found in e-commerce, personalized facilitation seems to be a natural direction in group system facilitation research to deal with the needs of individual members for the overall gain of the group. In this paper, we address the needs for personalized facilitation in the context of the “EasyWinWin” framework in software requirements analysis by proposing a conceptual framework of personalized facilitation, developing a system architecture towards personalized facilitation and identifying key functions for a personalized facilitation system.

[1]  Brian D. Davison,et al.  Learning to personalize , 2000, CACM.

[2]  Pedro Antunes,et al.  Facilitation Tool - A Tool to Assist Facilitators Managing Group Decision Support Systems , 1999 .

[3]  Saul Greenberg,et al.  Building flexible groupware through open protocols , 1993, COCS '93.

[4]  Pattie Maes,et al.  Social information filtering: algorithms for automating “word of mouth” , 1995, CHI '95.

[5]  Jay F. Nunamaker,et al.  Intelligent workflow techniques for distributed group facilitation , 2002, Proceedings of the 35th Annual Hawaii International Conference on System Sciences.

[6]  Jay F. Nunamaker,et al.  Distributed GSS facilitation and participation: field action research , 1999, Proceedings of the 32nd Annual Hawaii International Conference on Systems Sciences. 1999. HICSS-32. Abstracts and CD-ROM of Full Papers.

[7]  Alan R. Hevner,et al.  Research Commentary: An Agenda for Information Technology Research in Heterogeneous and Distributed Environments , 2000, Inf. Syst. Res..

[8]  Jay F. Nunamaker,et al.  Tools for distributed facilitation , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[9]  Jay F. Nunamaker,et al.  ThinkLets: achieving predictable, repeatable patterns of group interaction with group support systems (GSS) , 2001, Proceedings of the 34th Annual Hawaii International Conference on System Sciences.

[10]  Jay F. Nunamaker,et al.  Electronic meeting systems , 1991, CACM.

[11]  Fred Niederman,et al.  Facilitation issues in distributed group support systems , 1993, SIGCPR '93.

[12]  John Riedl,et al.  GroupLens: an open architecture for collaborative filtering of netnews , 1994, CSCW '94.

[13]  Yoav Shoham,et al.  Content-Based, Collaborative Recommendation. , 1997 .

[14]  Robert P. Bostrom,et al.  Meeting facilitation: process versus content interventions , 1997, Proceedings of the Thirtieth Hawaii International Conference on System Sciences.

[15]  Douglas B. Terry,et al.  Using collaborative filtering to weave an information tapestry , 1992, CACM.

[16]  Kweku-Muata Osei-Bryson,et al.  Supporting facilitation in group support systems: Techniques for analyzing consensus relevant data , 1996, Decis. Support Syst..

[17]  Jaideep Srivastava,et al.  Automatic personalization based on Web usage mining , 2000, CACM.

[18]  Robert O. Briggs,et al.  Surfacing tacit knowledge in requirements negotiation: experiences using EasyWinWin , 2001, Proceedings of the 34th Annual Hawaii International Conference on System Sciences.

[19]  Bruce Krulwich,et al.  Learning user information interests through extraction of semantically significant phrases , 1996 .

[20]  Stephen C. Hayne,et al.  Distributed facilitation: a concept whose time has come? , 1992, CSCW '92.

[21]  Ken Lang,et al.  NewsWeeder: Learning to Filter Netnews , 1995, ICML.

[22]  Raymond J. Mooney,et al.  Content-boosted collaborative filtering for improved recommendations , 2002, AAAI/IAAI.