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
05.05.2025: PostDoc and PhD Positions
The Chair of Human-Centered Technologies for Learning at the Technical University of Munich (TUM) offers exciting Ph.D. and PostDoc opportunities focused on the cutting-edge field of Human-Centered AI Technologies using advanced Generative AI and novel interaction technologies such as VR/AR and Eye Tracking.
Potential Project Ideas are:
- Multimodal Machine Learning (Eye Tracking, Speech, and Vision)
- Research in Eye-Tracking Technology and Smart Glasses
- Human-Centered Generative AI
- Human-AI Interaction
15.04.2025: Paper Acceptances at ETRA and DSP!
We are thrilled to share that four papers from our group have been accepted to the ACM Symposium on Eye Tracking Research & Applications (ETRA) and three papers have been accepted to the International Conference on Digital Signal Processing (DSP) this year.
Congratulations to all the authors for their outstanding contributions!
12.03.2025: Supporting socially disadvantaged children with AI
The pioneering educational project initiated by the Roland Berger Foundation and the Technical University of Munich (TUM) aims to impart artificial intelligence (AI) skills to socially disadvantaged children. Within this project, children start learning to use AI responsibly and critically from as early as third grade.
Under the scientific leadership of Prof. Enkelejda Kasneci, director of the TUM Center for Educational Technologies, the three-year model focuses on AI literacy and enhancing writing and language skills through AI-supported tools.
The project also collaborates with 70 partner schools, supporting 650 talented children. Guided by Prof. Kasneci, the initiative aims to fully develop the individual potential of these children, opening up future opportunities for them because by 2035, there will no longer be a job in Germany without AI.
04.03.2025: Professor Enkelejda Kasneci Delivered Keynote at WACV 2025
Our professor, Enkelejda Kasneci, delivered a keynote address at the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2025) on March 4, 2025.
WACV is a premier international conference dedicated to advancing computer vision applications, featuring a diverse program that includes the main conference, workshops, and tutorials.
For more details on WACV 2025 and the complete conference schedule, please visit the official website.
06.12.2024: Heinz Maier-Leibnitz Medal for Enkelejda Kasneci and Tina Seidel
At TUM's Dies Academicus, Professors Enkelejda Kasneci and Tina Seidel were honored with TUM's highest scientific award, the Heinz Maier-Leibnitz Medal. Vice President Prof. Gerhard Kramer attributed this to establishing the TUM Center for Educational Technologies (EdTech Center). The psychologist and the computer scientist are jointly researching the use of AI in teaching and learning. Their newly developed tools have now been used by over 100,000 people.