Laura Schütz
Laura Schütz is a PhD candidate in Computer Science at TUM with Prof. Nassir Navab at the CAMP chair, where she studies multisensory interactions in augmented reality for healthcare, particularly audiovisual perception and sonic-interaction design.
She received an M.S. in Design from Stanford University in 2023 (with Prof. Sean Follmer) and was a visiting researcher at the Augmented Perception Lab at Carnegie Mellon University. She publishes at CHI, ISMAR, IEEE TVCG, and MICCAI, with awards including the IEEE CS Lance Stafford Larson Best Paper Award and the Data Sonification Award 2026.
She joins the workshop with a focus on inferring user mental models from interaction traces in human-computer and human-AI interactions.
Affiliation: PhD: Computer-Aided Medical Procedures (CAMP), TUM · Postdoc: ETH Zürich.
- Data Sonification Award (2026)
- IEEE CS Lance Stafford Larson Best Paper Award (2024)
- Stanford MS Design Project Award (2023)
Laura's prior work.
These papers are notsubmissions to the Mental Models of AI workshop. The workshop hasn't happened yet. They are the body of work Laura brings to the committee, verified against personal sites and Google Scholar.
