Dr. phil., Dipl.-Inform. · Senior Research Associate
Chair of Communication Science · Human-Computer Interaction Center · RWTH Aachen University
I study how people perceive, trust, and live with the technologies that are reshaping work, learning, and health — and in turn how to design trusted and humane systems.
Every sheet is one paper, one pile a year. Queried via crossref and not fully up-to-date.
Research threads
Seven strands, most of them still running. Each links to the papers that belong to it, and every paper links back to the threads it belongs to.
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Public Perception of AI
What the public actually expects, fears, and values in artificial intelligence — and how far that sits from what experts believe.
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Trust, Agency & Human–Robot Interaction
What happens to trust, agency, and a sense of control when people work beside machines that are usually — but not always — right.
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Human Factors in Cyber-Physical Production
Making industrial data legible to the people who have to act on it, and putting the human back into cyber-physical production.
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Measuring Technology Acceptance
Building the instruments — micro scenarios, conjoint designs, semantic differentials — that make "would people accept this?" an answerable question.
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Privacy, Life-Logging & Personal Data
What people will trade for convenience, who refuses, and why the refusers are not simply behind the curve.
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Serious Games & Learning
Games as instruments — for teaching hard ideas, for training decisions under complexity, and for extracting knowledge that experts cannot articulate.
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Interactive Textiles & Assisted Living
Interfaces that disappear into curtains, sofas, and clothing — and whether the people meant to live with them actually want to.
About
I am a senior research associate at the Chair of Communication Science and the Human-Computer Interaction Center at RWTH Aachen University. I studied computer science with a focus on psychology and human-computer interaction, and my doctorate in communication science was awarded the Borchers Medal.
That double training is the whole point. Technology fails people less often for want of engineering than for want of understanding — of what people expect, what they fear, what they will accept, and what happens to them when a system is confidently wrong. I build the instruments that measure those things, run the studies, and carry the results back into design.
In the Cluster of Excellence Internet of Production I lead the work package on data-to-knowledge and knowledge-to-data pipelines, making production data legible and actionable for the humans and the machines that have to act on it. I also head the Integrated Graduate School, where doctoral researchers from mechanical engineering, materials science, computer science, and the social sciences have to learn to work on the same problem — which is harder, and more valuable, than it sounds.