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Living, work, amusement and travel environments contain more and more networked information and communication technology, e.g. in home, office, gallery and car. A major challenge is to realize fine user experiences for the persons interacting with this technology. These user experiences concern both the traditional usability aspects--such as the effectiveness and efficiency of task performances, and user satisfaction--and the new user aspects of acting in a smart environment--such as trust and emotion. For the Intelligent User eXperience Engineering (IUXE) course, we choose to provide a coherent scenario-based engineering framework for design and evaluation of human-machine collaboration. Based on this framework, we will elaborate on current theories, methods, technologies and best practices for establishing advanced (intelligent) user interfaces and for interactions with complex information and communication systems.

The main topics are:
� Situated Cognitive Engineering
� Scenario-based Design and Claims Analysis
� Prototyping and Testing
� User Experience Sampling
� Task Load
� Emotion
� Cognitive Biases
� Situation Awareness
� Adaptive (Intelligent) User Interfaces
� Networked Electronic Partners and Social Robots

Knowledge of a basic, coherent approach for developing software systems in such a way that the users can accomplish their goals effectively and efficiently, and with a high level of satisfaction.
Knowledge of new theories, models and methods for improving the user experiences in the development of intelligent systems, and of research approaches to enhance the theoretical and empirical foundation of IUXE methods.
Practical experience in an iterative human-centered development process, i.e. the application of theories and methods for the generation and testing of intelligent user interfaces. This process comprises the generation of a design with its rational, and user experience testing with video analysis, logging and data analyses tools.

In the lectures, theories, models and methods are being presented and discussed from scientific literature. A vist to TNO's user experience and simulation labs is included in the course. During a part of the lectures, student groups have to prepare a presentation and discussion of a scientific paper. In the project, these groups will get practical experience in applying user-interface design and testing methods. They have to plan, execute, present and report a complete IUXE process for a specific design question on Intelligent Virtual Agents.

Papers from scientific journals on Blackboard.
Lecture notes on Blackboard.
For background and reference, students may use the following book (optional):
David Benyon, Phil Turner and Susan Turner (2005). Designing Interactive Systems: People, Activities, Contexts, Technologies. Harlow, England: Addison-Wesley (Pearson Education).

For the theory (50 %) discussed in the lectures, the assessment consists for the major part of an exam.
For the project (50%), the assessment concerns the presentations and reports of the interim and final results.

Individual oral exam.

Blackboard