Chair of Human-Centered Technologies for Learning
Research Clusters
AI for Empowerment and Learning
Focus: Developing AI systems that amplify human learning, creativity, and agency through collaborative human-AI partnerships.
Technologies: Artificial Intelligence (AI), machine learning, natural language processing, generative models.
Immersive Environments for Human Augmentation
Focus: Advancing human perception, collaboration, and innovation through immersive technologies.
Technologies: Virtual Reality (VR), Augmented Reality (AR), Mixed Reality (MR), spatial computing.
Our research pioneers human-centered AI that transforms how individuals learn, create, and thrive. By fostering collaborative partnerships between humans and AI, we enhance educational experiences, spark innovative thinking, and promote agency in domains like professional development, social interaction, and lifelong learning.
We create immersive environments that augment human perception and capabilities, empowering users to explore virtual worlds, design innovative solutions, or collaborate in enhanced realities. By integrating human-centered AI, these systems adapt to user needs, enabling applications in fields like education, training, entertainment, and social interaction.
Multimodal and Adaptive Systems for Empowered Interaction
Focus: Enabling intuitive, personalized, and inclusive human-technology interaction through dynamic, multi-sensory systems.
Technologies: AI, VR, AR, eye-tracking, multimodal sensing.
Eye Tracking and Gaze-Based Interaction
Focus: Harnessing eye-tracking to enhance human attention, intent, and social connection in interactive systems.
Technologies: Eye-tracking, AI, multimodal sensing, VR/AR integration.
We develop multimodal and adaptive systems that empower users by making technology responsive, intuitive, and tailored to individual needs. By combining multi-sensory interfaces with human-centered AI, these systems support seamless interaction for creative expression, professional workflows, and inclusive applications, ensuring accessibility for diverse users across contexts like collaboration, productivity, and innovation.
Our gaze-based research augments cognitive and social capabilities by using eye-tracking to capture user intent and enhance interaction. Integrated with human-centered AI, these systems empower users in real-time collaboration, creative design, and inclusive communication, with applications spanning education, healthcare, gaming, and professional environments, ensuring accessibility and engagement for all.
News
06.03.2025: Paper Acceptances at CHI'26!
We are thrilled to share that Carrie Lau, a doctoral researcher in our group, will be presenting her paper at CHI 2026 - the ACM Conference on Human Factors in Computing Systems.
Her paper explores how the appearance of AI avatars influences job applicants' perceptions of trust, fairness, and bias in AI-conducted interviews, offering design insights for more equitable AI hiring systems.
The paper has also received a CHI 2026 Honourable Mention Award, recognizing its originality, rigor, and potential impact in the field of human–computer interaction.
Congratulations to Carrie and other co-authors for their outstanding contributions!
Read More: Skin-Deep Bias: How Avatar Appearances Shape Perceptions of AI Hiring
20.02.2026: Philipp Hallgarten Successfully Defends Doctoral Thesis
Philipp Hallgarten has successfully defended his doctoral thesis and completed his PhD at the Technical University of Munich in cooperation with Porsche Human-Centered AI Research.
His research focused on using context information to build intelligent in-vehicle systems that understand driving situations and adjust their behavior accordingly. Among others, he presented the first Large Language Model that can understand driving context on a token level, and a system that can detect memorable moments during a car ride purely from driving context.
25.11.2025: Insights from the relAI Symposium 2025
The relAI Symposium 2025, organized by the Konrad Zuse School of Excellence in Reliable AI, brought together leading researchers, industry experts, and policymakers to discuss the responsible transformation driven by generative AI.
During the event, Enkelejda Kasneci from the Technical University of Munich** presented the new research focus area “Learning & Instruction,” highlighting innovative approaches at the intersection of AI and education.
The symposium emphasized the importance of trustworthy, human-centered AI for science, industry, and society.
10–11 November 2025 - Participation in the Panel “Challenges for Teaching – Artifical Intelligence (AI) in Academic Education”
On 10–11 November 2025, Enkelejda Kasneci participated in the XVIII. Hochschulsymposium “KI in der Wissenschaft – Wie gestalten wir die Universitäten neu?” at the Hanns Martin Schleyer-Stiftung in Munich.
Enkelejda Kasneci joined the panel on AI in academic education, discussing academic integrity, AI literacy, new teaching formats, and institutional strategies together with experts from the Harvard Graduate School of Education and University College London.
Full Panel Discussion
More Information
XVIII. Hochschulsymposium, TUM
Schleyer-Stiftung
Feature Image by Hanns Martin Schleyer-Stiftung
07.11.2025: Our Team Wins Second Place in the AIAI Competition
We are pleased to announce that our team — Ivo Bueno, Ruikun Hou, Dr. Babette Bühler, and Dr. Tim Fütterer — has won second place in the AI for Advancing Instruction (AIAI) Competition 2025, organized by DrivenData in collaboration with the University of Virginia.
The AIAI challenge invited participants to develop machine learning models capable of automatically identifying instructional activities in classroom videos and discourse content in anonymized audio transcripts.
Our submission focused on transformer-based architectures optimized for multimodal data, achieving excellent performance across both video and audio tasks. The competition comprised two phases—model development on labeled training data and evaluation on an unseen test set—with final rankings determined by the instructional activity and discourse labels predictions.
This competition brought together leading research teams from around the world, advancing the state of the art in AI-assisted education research.
We warmly congratulate Ivo, Ruikun, Babette, and Tim on this remarkable achievement, and extend our thanks to the competition organizers and all participating teams for their inspiring contributions to this important field.
21.10.2025 - Women in Data Science Worldwide
Women in Data Science (WiDS) Munich is a regional one-day event organized by the Ludwig-Maximilians-University Munich (LMU), the Technical University Munich (TUM) , Bayerischer Rundfunk (BR), Pruna AI, and Sixt, associated with the WiDS worldwide non-profit organization.
Women in Data Science Worldwide - Munich Conference