Tobias Thomas

Tobias Thomas joined the lab as a PhD student in December 2021.

He is working on the hessian.ai project „The Third wave of artificial intelligence“.

My research interests revolve around human perception and decision making, especially in natural environments. To understand those phenomena, I use behavioral experiments including psychophysics and eye-tracking, as well as computational modeling, especially Bayesian and reinforcement learning methods.

• Thomas, T., Straub, D., Tatai, F., Shene, M., Tosik, T., Kersting, K., & Rothkopf, C. A. (2024). Modelling dataset bias in machine-learned theories of economic decision-making. Nature Human Behaviour, 8(4), 679-691. [html]
• Kadner, F., Thomas, T., Hoppe, D., & Rothkopf, C. A. (2023). Improving saliency models' predictions of the next fixation with humans' intrinsic cost of gaze shifts. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (pp. 2104-2114)
  [html]
• Thomas, T., Hoppe, D., & Rothkopf, C. A., The neuroeconomics of individual differences in saccadic decisions, 2022
  [bioRxiv]

• Inhibition of return depends on image category, VSS 2024, St. Pete Beach FL USA [poster]
• Modelling dataset bias in machine-learned theories of economic decision-making, SAP Innovation Series 2024, Online [talk]
• Improving saliency models' predictions of the next fixation with humans' intrinsic cost of gaze shifts, WACV 2023, Waikoloa HI USA [talk + poster]
• Measuring the cost function of saccadic decisions reveals stable individual gaze preferences, VSS 2022, St. Pete Beach FL USA [talk]

David Pietras: Inhibition of return in active vision depends on image category (B.Sc.)