Knowledge Acquisition: Human Factors Issues

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Abstract
Knowledge acquisition is the process of extracting expertise from a domain expert. Expertise may be collected manually via a series of interviews held between the expert and a knowledge engineer or through sessions the expert holds with an automated knowledge acquisition tool. Several human factors issues become apparent: documenting mental models (where mental models are the expert's conceptualization of a problem), recording cognitive problem-solving strategies, and specifying an appropriate interface between the domain expert and the acquisition methodology. This paper provides a discussion of current manual/automated acquisition techniques, human factors issues associated with knowledge acquisition, and the ways in which several acquisition methodologies have confronted human factors issues.

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