Abstract
Design guidelines, which come from the extensive body of knowledge currently formed in HCI and usability engineering domains, remain poorly integrated. Guidelines and design patterns from various sources may contradict or duplicate each other, lack links to origins and justification, as well as contextual associations to concrete problems. The paper describes how the recommender system, developed to support interface design, resolves the issues of data integration and credibility via employing frame-based ontology model and guidelines “efficiency” evaluation algorithm based on fuzzy relations. Also, experimental investigation was carried out with 24 subjects of different age groups to assess the quality of the system work. The results suggests reasonable applicability of the proposed approaches, as the success rate for the website created with the system nearly doubled the one for the control group, and guidelines efficiencies were significantly higher for relevant target user groups.
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Bakaev, M., Avdeenko, T. (2012). User Interface Design Guidelines Arrangement in a Recommender System with Frame Ontology. In: Yu, H., Yu, G., Hsu, W., Moon, YS., Unland, R., Yoo, J. (eds) Database Systems for Advanced Applications. DASFAA 2012. Lecture Notes in Computer Science, vol 7240. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29023-7_31
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DOI: https://doi.org/10.1007/978-3-642-29023-7_31
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