Principles and guidelines in software user interface design
Principles and guidelines in software user interface design
Knowledge engineering and management: the CommonKADS methodology
Knowledge engineering and management: the CommonKADS methodology
A Practical Guide to Knowledge Acquisition
A Practical Guide to Knowledge Acquisition
Experiences with Modelling Issues in Building Probabilistic Networks
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
Educational Tool for Diabetic Patients Based on Causal Probabilistic Networks
AIME '01 Proceedings of the 8th Conference on AI in Medicine in Europe: Artificial Intelligence Medicine
A review of explanation methods for Bayesian networks
The Knowledge Engineering Review
How to elicit many probabilities
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
The Design of Everyday Things
Probabilities for a probabilistic network: a case study in oesophageal cancer
Artificial Intelligence in Medicine
Usability evaluation guidelines for business intelligence applications
Proceedings of the South African Institute for Computer Scientists and Information Technologists Conference
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Development and use of probabilistic decision support systems benefit by good communication between the developer on the one hand, and the user and the domain expert on the other hand. Communication is difficult because large differences in training and experience, and thus also expectations, exist between the two. This causes knowledge transfer errors. Preventing these necessitates user-centered design of the representations used in this communication, and attention to the translation of user terms to model terms and vice versa. A systematic approach to developing user-centered representations and preventing knowledge transfer errors is outlined in this paper. We demonstrate how five heuristic guidelines can be fruitfully applied in different developer-user interaction situations in different phases of decision-support system construction, and briefly outline an evaluation of a data-entry system developed using these guidelines.