Michael Quade

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The following paper presents results from a longitudinal study on the use of ICT for B2B-related business processes in large Swiss companies. In an empirical survey , 68 questionnaires were personally collected from procurement heads and subsequently analysed. The findings show that reduction of purchase prices is the top priority when goal-setting in(More)
Adaptive user interfaces are commonly used for providing different layouts and information according to the current context-of-use. However, the complexity and heterogeneity of potential users, platforms and environments lead to a combinatorial explosion of variants, making it almost impossible to foresee all potential results of adaptations at design time.(More)
In this paper we present a new approach to the automation of usability evaluation for interactive systems. Design ideas or complete systems are modeled as a conditional state machine. Then, user interactions with the system are simulated on the basis of tasks, by first searching for possible solution paths and then generating deviations from these paths(More)
In this paper we describe an approach to efficiently evaluate the usability of an interactive application that has been realized to support various platforms and modalities. Therefore we combine our Multi-Access Service Platform (MASP), a model-based runtime environment to offer multimodal user interfaces with the MeMo workbench which is a tool supporting(More)
Human error while performing well-learned tasks on a computer is an infrequent, but pervasive problem. Such errors are often attributed to memory deficits, such as loss of activation or interference with other tasks (Altmann & Trafton, 2002). We are arguing that this view neglects the role of the environment. As embodied beings, humans make extensive use of(More)
Adaptive user interfaces (UI) offer the opportunity to adapt to changes in the context, but this also poses the challenge of evaluating the usability of many different versions of the resulting UI. Consequently, usability evaluations tend to become very complex and time-consuming. We describe an approach that combines model-based usability evaluation with(More)
Cognitive modeling as a method has proven successful at reproducing and explaining human intelligent behavior in specific laboratory situations, but still struggles to produce more general intelligent capabilities. A promising strategy to address this weakness is the addition of large semantic resources to cognitive architectures. We are investigating the(More)