About the Lab
Alexander Maedche’s lab investigates how artificial intelligence can be designed, integrated, and governed to effectively support people in work, learning, and decision-making contexts. The core research focus lies in human-centered AI, combining perspectives from information systems, human–computer interaction, and design science research.
The lab develops and studies intelligent interactive systems such as AI-supported user interfaces, conversational agents, mixed-reality learning environments, and prototyping assistants. A strong emphasis is placed on understanding human cognition, behavior, and experience when interacting with AI, using methods such as controlled experiments, eye tracking, biosignal analysis, and qualitative user studies. Recent work explores large language models (LLMs) for GUI prototyping, requirements engineering, accessibility support, data storytelling, and conversational tutoring systems, as well as cognition-adaptive and gaze-adaptive AI assistants.
Beyond technical innovation, the lab addresses broader societal and organizational implications of AI, including responsible and high-risk AI, digital transformation, open science, and the future of data science work. The research aims to translate cutting-edge AI capabilities into usable, trustworthy, and ethically grounded systems with real-world impact in education, enterprise software, research collaboration, and knowledge work.
The lab is an excellent fit for students interested in AI, human–computer interaction, or information systems. Ideal candidates are curious about designing and evaluating interactive AI systems, enjoy interdisciplinary research, and are motivated to combine technical skills with user-centered thinking.