Téo Sanchez
Téo Sanchez is a postdoctoral researcher specializing in human-AI interaction. He is a Marie-Skłodowska-Curie Fellow at the Munich Interactive Intelligence Initiative (MI³) at LMU Munich, working with Prof. Ophelia Deroy on the project ‘How does human agency shape machine learning understanding?’.
His primary research focus is on how people comprehend and interact with AI systems, designing inclusive and reflective interactions with machine-learning models. A second thread studies communities of practice around AI in the creative and cultural industries, from early ML-using artists in the late 2010s to today's text-to-image online communities.
He led the IUI 2026 systematic review of mental-model methodologies in human-AI interaction (with Oleksandra Vereschak and Ophelia Deroy), the empirical foundation for this workshop. He is the recipient of the AFIHM Best Dissertation Award 2022 and the IUI 2022 Best Paper Award.
Affiliation: Munich Interactive Intelligence Initiative, LMU Munich.
- AFIHM Best Dissertation Award (2022)
- IUI 2022 Best Paper Award
- Marie-Skłodowska-Curie Fellowship
Téo'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 Téo brings to the committee, verified against personal sites and Google Scholar.
Mental Models in Human-AI Interaction: Systematic Review of Empirical Methodologies and Guidelines
A systematic review of 88 papers across HCI and adjacent fields surveying how mental models of AI are elicited, represented, and evaluated. Proposes guidelines for empirical study design and exposes methodological gaps that this workshop is built to address.
