A comparative study of think-aloud and critical decision knowledge elicitation methods
Сравнительное исследование методов выявления знаний с использованием протокола «думай вслух» и критических решений
1989-04-01
SCID: 54.1/9gf9jnt8
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critical decision knowledgeexpert systemsknowledge elicitationtacit knowledgethink-aloud protocols
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Abstract (AI)
The knowledge elicitation phase of expert system development continues to be identified as a major hurdle in construction of comprehensive, functional expert systems (Berry, 1987; Hoffman, 1987). One of the major difficulties is that expert knowledge is multifaceted. The expert has both explicit, objective knowledge and knowledge that is more implicitly understood. Such tacit knowledge is among the most difficult for experts to articulate on their own. Reliance on standard interview methods or unstructured think-aloud protocols may inadvertently bias the knowledge engineer into focusing on those aspects of the task that can be reasonable well represented within if/then, rule-based systems. The systems that result may lack critical components of expert knowledge. It is therefore essential that knowledge elicitation methods be sensitive to the contributions made by tacit knowledge and perceptual learning (Berry, 1987; Collins, Green, & Draper, 1985; Klein, Calderwood, & MacGregor, in press).
Key Findings
1
Expert knowledge comprises both explicit objective knowledge and tacit knowledge that experts often struggle to articulate.
2
Expert systems developed from these methods may omit critical tacit knowledge and perceptual learning contributions.
3
Knowledge elicitation methods should be sensitive to tacit knowledge and perceptual learning to capture expert performance more completely.
4
Knowledge elicitation remains a major obstacle to constructing comprehensive and functional expert systems.
5
Standard interviews and unstructured think-aloud protocols may bias elicitation toward knowledge representable as if/then rules.
Research Object
Think-aloud and critical decision knowledge elicitation methods for expert system development
Research Subject
Comparative effectiveness and sensitivity of the elicitation methods to experts’ explicit and tacit knowledge, including perceptual learning
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1989-04-01
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