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Representations for problem solving: on the benefits of integrated structure
How should problem-solving representations for complex knowledge domains be designed? Traditional approaches typically address the problem of semantic complexity by designing systems that offer multiple and often heterogonous forms of representation. The REEP approach advocates structure preserving integration of the different classes and perspectives of a domain within a single representation. This paper reports on a novel representational system for nurse rostering that was designed under the REEP approach. An empirical evaluation suggests the kinds of knowledge support provided by the representation and demonstrates that participants prefer fully integrated over selective views of information even though the former increases visual complexity. This knowledge support is explained in terms of more abstract domain independent cognitive benefits that we present as reasons for adopting the REEP approach.
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Publication status
- Published
ISSN
1093-9547Publisher
IEEE Computer SocietyPages
6.0Presentation Type
- paper
Event name
Proceedings of the 8th International Conference on Information VisualisationEvent type
conferenceISBN
0-769-52177-0Department affiliated with
- Informatics Publications
Full text available
- No
Peer reviewed?
- Yes
Editors
E Banissi, M Dastbaz, E Izquierdo, K Borner, A Faiola, J Roberts, JJ Zhang, G Clapworthy, C Maple, A Ursyn, C Chen, C MooreLegacy Posted Date
2012-02-06Usage metrics
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