Lecturer: Sven Mayer, Matthias Schmidmaier
Fields: Artificial Intelligence, Human-Computer Interaction, Human-AI Interaction
Content
The course Introduction to Intelligent User Interfaces (IUI) introduces participants to key concepts at the intersection of Human-Computer Interaction (HCI) and Artificial Intelligence (AI). It explores how methods from Machine Learning and AI can be transferred to the design of interactive systems that act intelligently, adapt to users, and support human goals. Emphasis is placed on a human-centered perspective that prioritizes usability, transparency, and user trust. Across four sessions, participants will gain a conceptual understanding of the foundations, design principles, and open challenges of intelligent user interfaces, preparing them to critically assess and discuss current and future developments in this field.
* 1. Session: Motivation and Introduction
* 2. Session: Machine Learning and Human-Computer Interaction basics
* 3. Session: Designing, Building, and Evaluating Human-AI Systems
* 4. Session: Human-Centered Challenges and Future Directions
Literature
- Andy Field and Graham Hole (2002). How to Design and Report Experiments
- Kasper Hornbæk, Per-Ola Kristensson, and Antti Oulasvirta (2025). Introduction to Human-Computer Interaction. Oxford University Press.
- Course: Intelligent User Interfaces, https://iui-lecture.org/
- Course: Practical Machine Learning, https://sven-mayer.com/pml/
- Course: Human-Computer Interaction, https://hci-lecture.org/
Lecturer
Sven Mayer is a full professor of computer science at the TU Dortmund University (Germany) and the Research Center Trustworthy Data Science and Security, where he is the head of the chair for Human-AI Interaction. His research focuses on Human-AI Interaction at the intersection between Human-Computer Interaction and Artificial Intelligence, where he focuses on the next generation of computing systems. He uses artificial intelligence to design, build, and evaluate future human-centered interfaces. In particular, he envisions enabling humans to outperform their performance in collaboration with the machine. He focuses on areas such as augmented and virtual reality, mobile scenarios, and robotics.
Affiliation: TU Dortmund University
Homepage: https://sven-mayer.com/
Matthias Schmidmaier is a research engineer in the Human-AI Interaction group of Prof. Sven Mayer at the Research Center Trustworthy Data Science and Security, TU Dortmund University, with a research affiliation at LMU Munich. His current work explores empathic interaction with intelligent systems, such as mental health chatbots or social robots, investigating the need, impact, and sources of perceived empathy and related constructs. Alongside his academic research, he brings over a decade of industry experience developing human-centered technologies in affective computing, vision-based behavior analytics, and XR, across both dynamic startup environments and collaborations with major international companies.
Affiliation: TU Dortmund University
Homepage: https://schmidmaier.org/