The systematic development of user interfaces that enhance interaction quality by adapting to the context of use is a desirable, but also highly challenging task. This paper examines to which extent contextual knowledge can be systematically incorporated in the model-driven dynamic generation of Web user interfaces that provide interaction for operational features. Three parts of the generation process are distinguished: selection, parameterization, and presentation. A semantically enriched service-oriented approach is presented that is based on the CAT-WALK framework for model interpretation and generation of adaptive, context-aware Web applications. Automation possibilities are addressed and an exemplary case study is presented. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Lohmann, S., Kaltz, J. W., & Ziegler, J. (2007). Model-driven dynamic generation of context-adaptive web user interfaces. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4364 LNCS, pp. 116–125). Springer Verlag. https://doi.org/10.1007/978-3-540-69489-2_15
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