Martin Feick

Dr. Martin Feick is the research team leader at the Institute of Information Systems (WIN) of Karlsruhe Institute of Technology (KIT), specializing in adaptive immersion and embodied artificial intelligence. His research areas include Human-Computer Interaction (HCI), Extended Reality (comprising Virtual Reality VR, Augmented Reality AR, and Mixed Reality MR), as well as embodied AI interaction design for virtual avatars and robots. Martin earned his PhD in Computer Science from Saarland University, during which he was also a visiting researcher at MIT's CSAIL group. He previously worked at the German Research Center for Artificial Intelligence (DFKI) in the Cognitive Assistants department and conducted research projects at several internationally renowned institutions, such as University College London and University of Calgary. Martin’s research focuses on integrating immersive technologies with embodied AI by designing innovative human-computer interfaces to offer users more personalized and natural interaction experiences.

• 2024–Present·Karlsruhe Institute of Technology (KIT)·Research Team Leader
  • Oversaw research and team management for Adaptive Immersion and Embodied AI.
• 2019–2024·German Research Center for Artificial Intelligence (DFKI)·Researcher
  • Participated in various research projects within the Cognitive Assistants department.
• Research Internships & Visiting Scholar | MIT (USA), University College London (UK), University of Calgary (Canada)

• 2020–2025·Saarland University·Doctorate (Dr.-Ing.)
  • Specialized in Computer Science, with in-depth research on Human-Computer Interaction in Virtual Reality.
• 2017–2019·HTW Saar·Master’s Degree (M.Sc.)
  • Field of study: Applied Computer Science, with a focus on Human-Computer Interaction.
• 2014–2017·HTW Saar·Bachelor’s Degree (B.Sc.)
  • Major: Applied Computer Science, recognized with the FBTI Outstanding Bachelor Thesis Award.

• 2018 | FBTI Outstanding Bachelor Thesis Award
  • Received the highest annual award in Computer Science for his exceptional bachelor thesis.

• Extended Reality Technologies: Designing and developing interaction techniques for Virtual Reality, Augmented Reality, and Mixed Reality environments.
• Haptic Feedback and Sensory Augmentation: Providing realistic tactile sensations to users through virtual agents and proxy objects.
• Embodied AI: Investigating immersive experiences between virtual avatars and robots in interaction scenarios.