Cognitive science: an introduction
Cognitive science: an introduction
Artificial intelligence (3rd ed.)
Artificial intelligence (3rd ed.)
Varieties of knowledge elicitation techniques
International Journal of Human-Computer Studies
Knowledge representation: logical, philosophical and computational foundations
Knowledge representation: logical, philosophical and computational foundations
Knowledge engineering and management: the CommonKADS methodology
Knowledge engineering and management: the CommonKADS methodology
Supporting diagrammatic knowledge acquisition: an ontological analysis of Cartesian graphs
International Journal of Human-Computer Studies
Artificial Intelligence: Structures and Strategies for Complex Problem Solving
Artificial Intelligence: Structures and Strategies for Complex Problem Solving
Probability elicitation for belief networks: issues to consider
The Knowledge Engineering Review
Human Problem Solving
Tactical Access to Complex Technology through Interactive Communication (TACTIC)
Proceedings of the Symposium on Human Interface 2009 on ConferenceUniversal Access in Human-Computer Interaction. Part I: Held as Part of HCI International 2009
| Hi-index | 0.00 |
We were faced with a shelved knowledge system at a health insurance company. The system used Bayesian statistics. For correct computations such a system is of course well suited, but not for the people who use it: people do not easily formulate their expertise in numerical probabilities. We addressed the question of whether it is possible to find out in which format experts do represent their knowledge, and if so, what format that is. This representation might then replace the format of numerical probabilities in the knowledge system's interface, increasing its ease of use. We found one method that includes, apart from a technique to elicit knowledge contents, techniques to also acquire its format: Cognitive Structure Analysis. In this contribution we discuss this method, use it in two studies, and show that it yields valid results. It gives insight into the format of experts' knowledge structures; experts turn out to use mainly frame representations.