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Intelligent User Experience Engineering (IN4179)

Multiple screens with user interfaces and a man.
Prototype ' Basic-T'. Used for object identification in the navy.

Instructors
Prof.Dr. Mark Neerincx

Credits
6 ECTS

Highlights
The course Intelligent User eXperience Engineering (IUXE) is given for the master programme 'Media and Knowledge Engineering' and for students from other master programmes. The aim is to achieve an understanding and practical experience of key principles, methods and theories in the area of intelligent user experience engineering.
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Study goals

Knowledge of a basic, coherent approach for developing software systems in such a way that the systems' users can accomplish their goals effectively and efficiently, and with a high level of satisfaction.

Knowledge of new theories 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.

Education method
In the lectures, theories, models and methods are being presented and discussed from scientific literature. During a part of these 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.

Assessment

For the theory (50 %) discussed in the lectures, the assessment consists for the major part of an exam and an additional assessment of student's paper presentation.

For the project (50%), the assessment concerns the presentations and reports of the interim and final results.



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Course Info

Course title
Intelligent User Experience Engineering

Course ID
IN4179

Staff
Prof.Dr. Mark Neerincx

Level
Graduate

Programme
MSc Computer Science

Credits
6 ECTS

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Creative Commons License
This work is licensed under a Creative Commons.