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Prof.

Constantin A. Rothkopf, PhD

Speaker for Darmstadt

Technische Universität Darmstadt Psychology of Information Processing
Alexanderstraße 10
64283 Darmstadt

+49 (0)6151 16 23 367 Send e-mail Visit website

Short info

Our research focuses on explaining human sequential visuomotor decisions and behavior under the influence of the world's uncertainties and ambiguities through computational modeling. Using the reverse-engineering approach, we devise algorithms for inferring individuals' internal models about the world, tracking their subjective beliefs over time during behavior and learning, and their internal subjective cost and benefits including effort. This naturally touches several areas including perception and action, active inference and active vision, sequential decision making under uncertainty, intuitive physics.

Our research methods both involve behavioral studies and computational modeling. We collect behavioral data in experiments ranging from every day tasks to laboratory tasks including VR in which we often measure eye and body movements as well as decisions and interactions. On the computational side, we focus on probabilistic models of sequential decision making under uncertainty.

Open Science
Kessler, F., Frankenstein, J., & Rothkopf, C. A. (2022).
A Dynamic Bayesian Actor Model explains Endpoint Variability in Homing Tasks.
bioRxiv
Wroblewski, A., Hollandt, M., Yang, Y., Ridderbusch, I.C., Pietzner, A., Szeska, C., Lotze, M., Wittchen, H.-U., Heinig, I., Pittig, A., Arolt, V., Koelkebeck, K., Rothkopf, C.A., Adolph, D., Margraf, J., Lueken, U., Pauli, P., Herrmann, M.J., Winkler, M.H., Ströhle, A., Dannlowski, U., Kircher, T., Hamm, A.O., Straube, B.* & Richter, J.* (2022). *contributed equally
Sometimes I feel the fear of uncertainty stinging clear: How Intolerance of Uncertainty and Trait Anxiety impact fear acquisition, extinction and the return of fear.
PsyArXiv Preprints
Zečević, M., Dhami, D. S., Rothkopf, C. A., & Kersting, K. (2021).
Structural Causal Interpretation Theorem.
arXiv preprint
Articles
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).
Schramowski, P., Turan, C., Andersen, N., Rothkopf, C. A., & Kersting, K. (2022).
Large pre-trained language models contain human-like biases of what is right and wrong to do.
Nature Machine Intelligence, 4(3), 258-268.
DOI DOI DOI
Schultheis, M., Rothkopf. C. A., Koeppl, H. (2022).
Reinforcement learning with non-exponential discounting.
Neural Information Processing Systems
Schultheis, M., Straub, D., & Rothkopf, C. A. (2021).
Inverse optimal control adapted to the noise characteristics of the human sensorimotor system.
Advances in Neural Information Processing Systems, 34, 9429-9442.
DOI
Trick, S., & Rothkopf, C. A. (2022).
Bayesian Classifier Fusion with an Explicit Model of Correlation.
In International Conference on Artificial Intelligence and Statistics (pp. 2282-2310). PMLR.
DOI
Research