Using group support systems for developing a knowledge-based explanation facility

Group Support Systems (GSS) have been shown to improve the satisfaction and performance of multi-user decision making processes. This study describes how they can be used to acquire knowledge from multiple domain experts for building the explanation facilities of expert systems. In this study, a manual iterative Delphi approach was initially used to acquire knowledge from five experts to build the explanation facility of a financial analysis expert system. Next, GSS tools were utilized to repeat the acquisition of explanatory knowledge in a computer supported cooperative work environment. Comparative analysis suggests that the use of the parallel communication and group memory GSS tools enable process gains, such as getting more complete information, synergy, simulation, and learning, to be realized. Moreover, the fact that the domain experts worked together instead of separately reduced production blocking and cognitive inertia since they could build upon each other's comments. Significant reductions in the time required by experts and the knowledge engineer/facilitator suggests that GSS represent an efficient and effective approach for supporting the acquisition of explanatory knowledge from multiple experts.

[1]  E H Shorthffe,et al.  Computer-based medical consultations mycin , 1976 .

[2]  L. Richard Ye,et al.  The Impact of Explanation Facilities in User Acceptance of Expert System Advice , 1995, MIS Q..

[3]  Lai Lai Tung,et al.  The effects of dialectical inquiry, devil's advocacy, and consensus inquiry methods in a GSS environment , 1993, Inf. Manag..

[4]  Izak Benbasat,et al.  The Use and Effects of Knowledge-Based System Explanations: Theoretical Foundations and a Framework for Empirical Evaluation , 1996, Inf. Syst. Res..

[5]  William J. Clancey,et al.  The Epistemology of a Rule-Based Expert System - A Framework for Explanation , 1981, Artif. Intell..

[6]  Efraim Turban,et al.  Applied Expert Systems , 1988 .

[7]  John H. Boose,et al.  A survey of knowledge acquisition techniques and tools , 1993 .

[8]  Tor Guimaraes,et al.  Exploring the Factors Associated with Expert Systems Success , 1995, MIS Q..

[9]  Jonathan A. Morell,et al.  Advances in the implementation and impact of computer systems : a research annual , 1991 .

[10]  Izak Benbasat,et al.  Empirical Research in Information Systems: The Practice of Relevance , 1999, MIS Q..

[11]  Karen L. McGraw,et al.  Knowledge Acquisition: Principles and Guidelines , 1989 .

[12]  Franz Oppacher,et al.  Improving explanations in knowledge-based systems: RATIONALE , 1990 .

[13]  Nicholas Rescher,et al.  On the Epistemology of the Inexact Sciences , 1959 .

[14]  George Bakehouse,et al.  Empirical Research in Information Systems , 2000 .

[15]  Donald A. Waterman,et al.  A Guide to Expert Systems , 1986 .

[16]  Jay F. Nunamaker,et al.  A methodology for knowledge acquisition in a group decision support system environment , 1990 .

[17]  Efraim Turban,et al.  Information Technology for Management , 1995 .

[18]  William R. Swartout,et al.  XPLAIN: A System for Creating and Explaining Expert Consulting Programs , 1983, Artif. Intell..

[19]  E. Shortliffe,et al.  An analysis of physician attitudes regarding computer-based clinical consultation systems. , 1981, Computers and biomedical research, an international journal.

[20]  Izak Benbasat,et al.  A framework for the comparative evaluation of knowledge acquisition tools and techniques , 1990 .

[21]  Edward H. Shortliffe,et al.  Computer-based medical consultations, MYCIN , 1976 .

[22]  Izak Benbasat,et al.  A framework for the validation of knowledge acquisition , 1989 .

[23]  BenbasatIzak,et al.  The Use and Effects of Knowledge-Based System Explanations , 1996 .

[24]  Brian R. Gaines,et al.  Comparing conceptual structures: consensus, conflict, correspondence and contrast , 1989 .

[25]  A. V. D. Ven,et al.  Group Techniques for Program Planning , 1975 .