Title: Knowledge Acquisition Using Structured Interviewing: An Empirical Investigation
Abstract:Abstract:The knowledge acquisition problem endures as a bottleneck in the construction of expert system knowledge bases. Despite the recent proliferation of techniques and the availability of more sop...Abstract:The knowledge acquisition problem endures as a bottleneck in the construction of expert system knowledge bases. Despite the recent proliferation of techniques and the availability of more sophisticated methods for this task, the interview technique continues to be widely used, especially in business domains. This paper reports the results of an experiment conducted to compare the unstructured knowledge acquisition interview with a specific type of structured knowledge acquisition interview. Structure for the interview was provided by a domain model of the business decision-making activity that attempted to capture the subjective and qualitative aspects of decision making. Senior managers from industry served as the subjects in the experiment The interview technique was evaluated along efficiency and effectiveness dimensions. Results indicate improved performance with the structured interviewing method.Key Words and Phrases: Expert systemsknowledge acquisitionstructured interviewing Additional informationNotes on contributorsRitu AgarwalRitu Agarwal is Assistant Professor in the Department of mis and Decision Sciences at the University of Dayton, Dayton, Ohio. She received her Ph.D. in mis and M.S. in Computer Science from Syracuse University in 1988. Her research interests are in knowledge acquisition, expert system development and validation, decision support systems, and group decision making.Mohan R. TanniruMohan R. Tanniru is Associate Professor of mis in the School of Management at Syracuse University, Syracuse, New York. He received his Ph.D. in mis from Northwestern University. He has published in a number of journals and presented papers at various meetings. His research interests are in systems analysis, decision support systems, and expert systems.Read More
Publication Year: 1990
Publication Date: 1990-06-01
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 150
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