The contributions of cognitive engineering to the design and use of expert systems
Chaya Garg-Janardan, Gavriel Salvendy · Behaviour and Information Technology · 1988
The cognitive basis of several issues critical to building expert systems is reviewed. Required and desirable attributes of a knowledge elicitation methodology are identified. It is argued that knowledge should be elicited from several levels of expertise. Plausible contributions of research in human problem solving to knowledge representation and design of control structure are examined. Implications of the literature on human learning and on expert-novice differences for machine learning are reviewed. The applicability of systems, which rely on user modelling, to the design of intelligent interfaces is discussed.