User Experience / Mobile Health / Personal Informatics - Focus area
Specialisation: Human-Computer Interaction
"Human-Computer Interaction" is focused in general on agile prototyping of novel types of interfaces supporting the interaction between people and software, based on human centred design and the overall user experience, and with elements of cognitive modeling. This may more specifically, but is not limited to, be focused towards applications in digital and mobile health, or it may involve individuals applying empirical methods and active/passive sensing, allowing them to observe phenomena of personal relevance with the aim to explore personal questions, to reason and learn from personal data with consequential benefits for daily living, quality of life, and well-being.
To fulfill the requirements for the specialisation, the student must follow the requirements in the general curriculum for the programme such that at least 35 ECTS points are obtained among the recommended courses below.
Note that specialisations are merely recommended ways of choosing the courses in the curriculum. Students are not admitted to a specialisation but to the programme and it is possible to choose among all the courses in the curriculum following the requirerements in the general curriculum. However, if a specialisation has been fulfilled, the title of the specialisation may be added to the diploma on request.
Recommended courses
Choose at least 35 ECTS among the following courses:
| 02238 | Biometric Systems | 5 | point | June |
| 02266 | User Experience Engineering | 5 | point | January |
| 02455 | Experiment in Cognitive Science | 5 | point | Autumn E5A (Wed 8-12) |
| 02458 | Cognitive Modelling | 5 | point | Autumn E2B (Thurs 8-12) |
| 02517 | Responsible AI: Algorithmic fairness and explainability | 5 | point | Autumn E2B (Thurs 8-12) |
| 02805 | Social graphs and interactions | 10 | point | Autumn E5 (Wed 8-17) |
| 02807 | Computational Tools for Data Science | 5 | point | E7 (Tues 18-22) |
| 02808 | Personal Data Interaction for Mobile and Wearables | 10 | point | Spring F5 (Wed 8-17) |
| 02830 | Advanced Project in Digital Media Engineering | 10 | point | Autumn E5B (Wed 13-17) |
| 38110 | Staging co-creation and creativity | 5 | point | Autumn E1B (Thurs 13-17) |
Addititional relevant courses
Although not part of the requirements for the specialisation, the following courses may also be relevant for the student:
| 02180 | Introduction to Artificial Intelligence | 5 | point | Spring F3A (Tues 8-12) |
| 02464 | Artificial Intelligence and Human Cognition | 5 | point | Autumn E3A (Tues 8-12) |
| 02471 | Machine learning for signal processing | 5 | point | Autumn E1B (Thurs 13-17) |
| 02806 | Social data analysis and visualization | 5 | point | Spring F3A (Tues 8-12) |
| 22053 | Principles of brain computer interface | 5 | point | January |
| 38103 | X-Tech Entrepreneurship | 10 | point | Spring F3 (Tues 8-12, Fri 13-17), Autumn E3 (Tues 8-12, Fri 13-17) |