Human AI Interaction (E) (WP)*
Niveau
Master
Learning outcomes of the courses/module
The participants:
• can explain the basic principles of human-AI interaction and can apply them to modern AI systems such as LLMs, chatbots, agents and decision-making systems
• can analyze user needs, tasks and usage contexts when working with AI
• can develop interaction models and UX patterns for AI systems
• can analyze the distribution of human-machine roles and can design different areas of application
• can explain the basic principles of human-AI interaction and can apply them to modern AI systems such as LLMs, chatbots, agents and decision-making systems
• can analyze user needs, tasks and usage contexts when working with AI
• can develop interaction models and UX patterns for AI systems
• can analyze the distribution of human-machine roles and can design different areas of application
Prerequisites for the course
No prerequisites
Course content
- Fundamentals of human–AI interaction
- Human cognition, mental models, decision-making behavior
- HCI principles for AI systems
- UX design for AI
- Interaction patterns (conversational UI, agents, multimodal interfaces)
- Prompt design, system messages, feedback loops
- Trust and user acceptance
- Explainable & Transparent AI (XAI)
- Types of explanation, user groups, design principles
- Usability and control of AI
- Human-in-the-Loop & Human-on-the-Loop
- Matching human-machine roles
- Task allocation, limits of automation
- Error prevention & recovery design
- Empathic & social aspects of AI interaction
- Social responses, trust
- persuasive and adaptive systems
- Methods & tools
- Usability testing for AI systems
- Prototyping tools
- Evaluation methods (task success, trust metrics, cognitive load)
- Human cognition, mental models, decision-making behavior
- HCI principles for AI systems
- UX design for AI
- Interaction patterns (conversational UI, agents, multimodal interfaces)
- Prompt design, system messages, feedback loops
- Trust and user acceptance
- Explainable & Transparent AI (XAI)
- Types of explanation, user groups, design principles
- Usability and control of AI
- Human-in-the-Loop & Human-on-the-Loop
- Matching human-machine roles
- Task allocation, limits of automation
- Error prevention & recovery design
- Empathic & social aspects of AI interaction
- Social responses, trust
- persuasive and adaptive systems
- Methods & tools
- Usability testing for AI systems
- Prototyping tools
- Evaluation methods (task success, trust metrics, cognitive load)
Recommended specialist literature
- A. Dix, J. Finlay, G.D. Abowd, R. Beale: Human-Computer Interaction.Third Edition, Prentice Hall 2003, ISBN 978-0130461094
- Cooper, Reimann, and Cronin; About Face 3: The Essentials of Interaction Design; Wiley, 2007. ISBN 0470084111
- Lazar, Feng, and Hochheiser; Research Methods in Human-Computer Interaction; Wiley, 2010. ISBN 0470723378
- Stone, Jarrett, Woodruffe, and Minocha; User Interface Design and Evaluation; Morgan Kaufmann, March 2005. ISBN 0120884364
- A. Kerren, A. Ebert, J. Meyer: Human-Centered Visualization Environments.Springer 2007, ISBN 978-3540719489
- Sarodnick, F., & Brau, H.: Methoden der Usability-Evaluation. Bern: Hans Huber, 2011.
- Shneiderman, B., & Plaisant, C.: Designing the user interface (5th ed.). Boston: Addison-Wesley, 2009.
- Nielsen, Jakob: Designing Web Usability, dtsch. Ausg., Markt und Technik, 2004
- Cooper, Reimann, and Cronin; About Face 3: The Essentials of Interaction Design; Wiley, 2007. ISBN 0470084111
- Lazar, Feng, and Hochheiser; Research Methods in Human-Computer Interaction; Wiley, 2010. ISBN 0470723378
- Stone, Jarrett, Woodruffe, and Minocha; User Interface Design and Evaluation; Morgan Kaufmann, March 2005. ISBN 0120884364
- A. Kerren, A. Ebert, J. Meyer: Human-Centered Visualization Environments.Springer 2007, ISBN 978-3540719489
- Sarodnick, F., & Brau, H.: Methoden der Usability-Evaluation. Bern: Hans Huber, 2011.
- Shneiderman, B., & Plaisant, C.: Designing the user interface (5th ed.). Boston: Addison-Wesley, 2009.
- Nielsen, Jakob: Designing Web Usability, dtsch. Ausg., Markt und Technik, 2004
Assessment methods and criteria
Written exam
Seminar paper
Seminar paper
Language
English
Number of ECTS credits awarded
4
Semester hours per week
Planned teaching and learning method
Lecture, group work (project), presentation and discussion of assignments
Semester/trimester in which the course/module is offered
3