A Visual Language for Knowledge Acquisition, Display, and Animation by Domain Experts and Novices

TL;DRAbstract

To make plan-based expert systems more accessible to end users we should develop interfaces that make the functionality of the planner seem natural and immediately understandable. In particular, we should design a graphical language and interface for the acquisition and display of plan knowledge, where the intended users are domain experts and novices. Lack of previous computer experience should not affect their performance. On the basis of existing theories in cognitive science and from our own experimental research, we propose a model of the user's view of tasks. The model postulates the domain experts' ability to recall relevant parts of self performed tasks. The validity of the model is demonstrated in a paper-and-pencil experiment involving 153 subjects. Employing an extended cognitive systems engineering approach we use the model, a stage process model of knowledge acquisition, and requirements from the plan formalism to specify DACRON, a visual language for plan acquisition and

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