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Human-AI Interaction 7.5 credits

About the course

Various types of intelligent agents, including those powered by generative AI models, are becoming increasingly common in a wide range of human activities. The central theme of the course is understanding and supporting human interaction with such agents.  Through theoretical and practical work, the course introduces the students to key concepts, methods, applications, and findings in the field of human-AI interaction. The course touches upon topics such as social perception and social competence of intelligent agents, anthropomorphism, and explainable AI, with a special focus on the critical analysis of emerging human-AI interaction phenomena. User research and prototyping methods and techniques, such as Wizard of Oz, design fiction, and user enactments are applied in practical course assignments. The course builds on state-of-the-art knowledge in the research areas of human-computer interaction, human-robot interaction and human-agent interaction.

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Please be aware that the University is a public authority and that what you write here can be included in an official document. Therefore, be careful if you are writing about sensitive or personal matters in this contact form. If you have such an enquiry, please call us instead. All data will be treated in accordance with the General Data Protection Regulation.

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