Per Bækgaard

Per Bækgaard is an Associate Professor at the Department of Applied Mathematics and Computer Science, Technical University of Denmark (DTU), specializing in Cognitive Systems. He serves as Head of Study for Human-Centered Artificial Intelligence, leading research in human-computer interaction, user experience, eye tracking, and cognitive neuroscience. His work bridges AI and human cognition to create systems that enhance daily life and support meaningful tasks.

• PhD, MSc EE, Technical University of Denmark

His research interests center on Human-Computer Interaction (HCI), User Experience, and Human-Centered Artificial Intelligence, with strong emphasis on Eye Tracking, Cognitive Neuroscience, and Digital Media. He explores how digital systems can adapt to users’ cognitive states using physiological signals like pupil dilation and gaze patterns, aiming to improve learning, health, and decision-making. His work aligns with UN Sustainable Development Goals in health and education.

The recent publications reflect a strong trend in integrating eye tracking and pupillometry with AI-driven adaptive systems, particularly in education and healthcare. Themes include generative AI in learning, trustworthy AI in supply chains, and digital micro-interventions for mental health. The interdisciplinary nature spans computer science, psychology, and biomedical engineering, showcasing a cohesive focus on human-centered technology evaluation.

Scientific Awards:

• Best Paper Award, 26 Jun 2020 – for contributions to gaze interaction research

Per Bækgaard actively supervises PhD students and leads multiple research projects, including those involving generative AI in education, digital phenotyping, and AI in nursing and mental health. He is the main supervisor for several PhD projects and a co-supervisor or examiner in others, demonstrating a strong commitment to academic mentoring. His grant involvement includes projects funded by DTU and collaborative research initiatives in digital health and AI.

He is part of the Cognitive Systems group at DTU, contributing to interdisciplinary research in AI, neuroscience, and human factors. His team collaborates on projects involving real-time physiological monitoring, adaptive interfaces, and AI-mediated learning systems, positioning him at the forefront of human-centered AI research in Scandinavia.