Human-AI Interaction, 7.5 credits

The course introduces the student to the challenges involved, and methods for overcoming those challenges, when designing and developing usable, efficient, and safe interfaces for human users of interactive systems. The focus is on systems that exhibit at least partial autonomous behavior based on Artificial Intelligence. Theoretical part

• Research methodology: research questions, hypothesis, user experience (UX) goals; evaluation methods (formative, final; quantitative, qualitative; simulation); experimental design, analysis; documentation
• Human factors: limitations of human perception, cognition, and (re-)action; multimodal, peripheral, and implicit human-computer interaction
• Established and emerging interaction paradigms, e.g. PC WIMP interaction paradigm (Windows, Icons, Menus, Pointing device); smartphone touch interaction paradigm; intervention user interfaces
• Emerging interaction technologies, e.g. Augmented Reality; biometric sensor technologies incl. eye tracking
• Human-centered AI: explainable AI; the complexity of human-AI co-decision making incl. system-level risks; ethical aspects; legal aspects
• The iterative design process of interactive systems: conceptualization/requirements gathering, prototyping, evaluation

Practical part Group project including conceptualizing, prototyping, and evaluating a user interface to a (semi-)autonomous process. Individually performed exercises (labs). Active participation in discussion seminars.