1999
DOI: 10.1108/09576059910295878
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Expert system: defection and perfection

Abstract: Unlike other computer-based information systems, expert systems (ES) are characterized by the satisficing and conservative behavior of their users. Shows that the learning curve may be used to model user dependency on ES technology. Even though user dependency relates to ES quality control parameters (for example, Raggad's 13 ES quality attributes) only dynamic or late binding features really affect ES dependency: ES learning capability and ES recommendation anticipation. There is hence a learning race between… Show more

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Cited by 6 publications
(2 citation statements)
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“…The multimedia interface was effective in helping the user query the system, but it slows down the access speed. Expert systems are not able to deal with exceptions or complex problems due to their inflexibility and the limitations of the knowledge base [22]. The interactive nature of Internet communication provides an opportunity to reduce these limitations as users can talk to a human expert via telediagnostic equipment.…”
Section: Discussionmentioning
confidence: 99%
“…The multimedia interface was effective in helping the user query the system, but it slows down the access speed. Expert systems are not able to deal with exceptions or complex problems due to their inflexibility and the limitations of the knowledge base [22]. The interactive nature of Internet communication provides an opportunity to reduce these limitations as users can talk to a human expert via telediagnostic equipment.…”
Section: Discussionmentioning
confidence: 99%
“…They address user dependence upon the system and a possible continuum of system usage outcomes ranging from user defection to over-dependence [15,22,44,48].…”
Section: Evaluation Criteria For Kbs Beyond Verification and Validationmentioning
confidence: 99%