Generating user interfaces for ambient intelligence systems

User Experience has become a key success factor for today's software applications. As the only part of a software application a user has direct contact with, the user interface contributes to a large degree to the overall user experience. Although a system's software architecture is considered as one of the most significant technical factors in ensuring project success, its influence on user experience is usually neglected. Thereby, the connection between the user interface and the system's core functionality is of particular importance. A system's distribution architecture and the used client type have a significant influence on the overall user experience. The central contribution of this thesis is the introduction of an application's client type as an explicit adaptation factor in software development in general and in user interface generation in particular to improve user experience. To support developers in the client type selection, this thesis provides a comprehensive characterization of nowadays commonly used client types. Based on a detailed quality model and a usage situation model this thesis provides a method that determines the recommended client type automatically.