Human-AI Interaction, 7.5 credits
- 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
FACTS
CYCLE
Second cycle
ENTRY REQUIREMENTS
General entry requirements and approved result from the following course/courses:
STB600-Sensor Technology and Image Analysis and
IAI600-Introduction to Artificial Intelligence and Machine Learning and
BSD600-Big Data Processing and Analysis or the equivalent.
PACE OF STUDY
Part-time
TYPE OF INSTRUCTION
On Campus
PROGRAMME/COURSE DATE
TEACHING HOURS
Daytime
APPLICATION DEADLINE
15 April 2024
APPLICATION CODE
HV-E7037
START/END
From v.46 2024 to v.03 2025
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