Guided expert self-elicitation: generalizing captured expertise

Abstract

Exploratory research developed and tested a knowledge elicitation methodology that uses guided expert self-elicitation. The methodology is based on the production system model of rule-based cognitive processing, human abilities to recognize and categorize their own perceptions, the power of cognitive rehearsal to reconstitute thought processes and the ability to verbally report concurrent cognitive information processing. Continuing research aims at extending existing guidance protocols to enable self-eliciting experts to generalize their own rule-instances and to expand the varieties of knowledge they may self-elicit. Experiments were designed and performed to record and elicit specific performed expertise of a single consulting decision analyst expert. A two party subjective probability assessment interview was used as a carefully bounded task domain in which the decision analyst helped a participating client assess a targeted uncertain variable.>

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