Stefan Hillmann

Dr.-Ing. Stefan Hillmann is a researcher at the Quality and Usability Lab at Technische Universität Berlin, focusing on usability evaluation of spoken and multimodal dialogue systems. He holds a Doctor of Engineering degree and has been involved in various research projects since 2010, including the DFG-funded 'User Model' project and the Universal Home Control Interface@Connected Usability initiative. His work emphasizes dialogue management, machine learning, and reinforcement learning applications in conversational interfaces. He coordinates MOOCs on Communication Acoustics and teaches courses on topics like neural networks in language technology and multimodal interaction.

• Education: Diplom-Informatiker (2006), PhD candidate (since 2010) at TU Berlin.
• Research Projects: Smart home usability evaluation, reinforcement learning for dialogue systems, and medical dialogue system explainability.

Research Interests: Prioritizes human-computer interaction, automatic usability prediction, and context-aware dialogue systems. His contributions span theoretical frameworks and applied systems, with a focus on practical usability in healthcare and education.

Teaching & Mentorship: Coordinates edX courses and supervises study projects like 'Smart Picture Frame' and 'BC Stories VR.' Engages students in applied research through seminars and practical exercises.

Publications: Over 15+ peer-reviewed papers since 2019, focusing on dialogue systems, explainability in AI, and crowdsourcing evaluation techniques. Recent work includes chatbot usability studies and multimodal interaction frameworks.