Laura Schütz

Laura Schütz

I am a Postdoctoral Fellow at the ETH AI Center, co-supervised by Prof. Christian Holz and Prof. Christoph Hölscher. My research in human-computer interaction focuses on computational models of human cognition during human-AI interaction.

In 2026, I received a PhD in Computer Science from Technical University of Munich, supervised by Prof. Nassir Navab. Previously, I was a visiting researcher at the Human-Computer Interaction Institute at Carnegie Mellon University with Prof. David Lindlbauer. In 2023, I received a MS in Design from Stanford University, where I was advised by Prof. Sean Follmer.

News

Oct 2026
Started as a Postdoctoral Fellow at the ETH AI Center.
Aug 2026
Completed my PhD summa cum laude.
Aug 2026
Accepted workshop at IUI on "Mental Models in Human-AI Interaction".
Jun 2026
Accepted paper at MobileHCI on "Typing Behavior in Human-LLM Interaction".
Jun 2026
Invited Talk at the Cognitive Interface Lab at Nanyang Technological University (NTU) Singapore.
Jun 2026
Invited Talk at the Augmented Human Lab at National University of Singapore (NUS).
Apr 2026
Feb 2026
Handed in my PhD thesis at TUM!
Oct 2025
Gave an invited talk on Multisensory XR at BMW Open Innovation.
Oct 2025
Oct 2025
Jul 2025
Our article on physiological cognitive load in VR surgery training got published in Nature Scientific Reports.
May 2025
Presented my research on "Designing Multimodal Interactions in Medical Augmented Reality" at CHI 2025.
Apr 2025
Stanford d.school shared an article about my work on using sound in surgery.
Apr 2025
Started my visiting research at the Augmented Perception Lab at Carnegie Mellon University.
Oct 2024
Our paper "A Framework for Multimodal Medical Image Interaction" was presented at ISMAR 2024 and published in IEEE TVCG Journal.
May 2024
Presented our paper on "Interactive Shape Sonification for Tumor Localization" at CHI 2024.
Jun 2023
Received the Stanford MS Design Project Award for the best master's project in the class of 2023.

Select Publications

Art Projects

Empathy AI - Escape from the Turing Trap

A human-AI interaction based on emotions and colors rather than words.

K-TILE - Feature-based AI Audio Mosaic Tool

An audio mosaic of bird songs that visualizes and sonifies the AI model's parameter k, a measure of similarity retrieval.

Microbial Ecologies

A physical and virtual reality exhibition piece on the human gut microbiome inviting the visitor to transcend the limitations of our human senses and envision other simultaneous realities.

Particle Paint

An expressive tool for contemplation - creating ephemeral drawings using sound

Solar Sequencer

An audio sequencer that lets you discover the soundscape of space.

Drawing with Sound

This audio visualizer conveys waveform and time domain of a given audio input in real-time.