Model-driven engineering approaches have turned out useful when handling different perspectives on human-computer interaction, such as user profiles and problem-domain data. Their latest flavour, Model-Driven Architecture (MDA Ò ), targets towards platform-independent models (PIMs) and adjacent transformation mechanisms to adapt to user needs and tasks. Although in the field of user modelling and its major application domain, namely adaptive hypermedia systems (AHS), considerable effort has been spent on adaptation towards user needs, a structured development approach could not be established so far. User-oriented application designs are highly distinctive and can hardly be compared or mapped to novel or existing developments without major re-engineering effort. This paper develops an understanding of existing capabilities of already applied user-modelling techniques from a model-based perspective. Revealing the context of user models and user modelling allows determining general concepts for representing and processing knowledge for adaptation. The obtained findings show primarily technically motivated approaches, rather than designs grounded in findings from human factors. For human-centred design, a shift is suggested towards distributed cognition as a methodological and operational frame of reference for user modelling. This could help overcome existing limitations in adaptation. The corresponding research agenda requires directions on how to map psychological constructs to usermodel elements and adaptable user-interface elements, such as mapping field dependence to content annotation features, in a transparent and empirically grounded way.
For the automated evaluation of interactive software systems a variety of techniques exists. Different backgrounds, various concepts for representation and processing make it difficult for developers (and users) to identify the proper technique for automated evaluation with respect to acknowledged usability principles, such as the suitability for the task. In order to facilitate the selection and application of automated usability-evaluation techniques, we introduce a template for structured documentation and reflection. Enriching traditional schemes it addresses the relationship between usability principles and parameters used for processing. We consider the relation of usability principles to processing schemes to be of major importance, since it not only facilitates the communication between users and designers, but also reveals ways how qualitative attributes can be mapped on to operational structures. If we could utilize that information for design, e.g., for automatically checking specifications or prototypes, interactive-system development could be improved significantly. The proposed template stems from our work in the EU COST action 294 MAUSE (www.cost294.org) targeting towards quality assessment of usability-evaluation methods.
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