Forschungsdaten
2026
Cajar, A., & Laubrock, J. (2026). Color needs luminance for visual selection during scene search. Attention, Perception, & Psychophysics. http://dx.doi.org/10.3758/s13414-026-03226-7. Daten verfügbar unter https://osf.io/sy92a/.
2025
Schwetlick, L., Reich, S. & Engbert, R. (2025). Bayesian dynamical modeling of fixational eye movements. Biological Cybernetics, 119: 13. https://doi.org/10.1007/s00422-025-01010-8. Daten verfügbar unter https://osf.io/hf2dw/.
2024
Backhaus, D., & Engbert, R. (2024). How body postures affect gaze control in scene viewing under specific task conditions. Experimental Brain Research, 1–12. https://doi.org/10.1007/s00221-023-06771-x. Daten verfügbar unter https://osf.io/8pc6x/.
Rabe, M. M., Paape, D., Mertzen, D., Vasishth, S., & Engbert, R. (2024). SEAM: An integrated activation-coupled model of sentence processing and eye movements in reading. Journal of Memory and Language, 135, 104496. https://doi.org/10.1016/j.jml.2023.104496. Daten verfügbar unter https://osf.io/8zrxb/ und https://gitup.uni-potsdam.de/CRC1294/B03/SEAM-2023-Paper.
Schad, D. J., Nuthmann, A., Rösler, F., & Engbert, R. (2024). Mental effort during mindless reading? Pupil fluctuations indicate internal processing during levels of inattention. Journal of Experimental Psychology: Learning, Memory, and Cognition, 50 (10), 1637-1649. https://doi.org/10.1037/xlm0001384. Daten verfügbar unter https://osf.io/ahgwd/.
2023
Mertzen, D., Paape, D., Dillon, B. W., Engbert, R., & Vasishth, S. (2023). Syntactic and semantic interference in sentence comprehension: Support from English and German eye-tracking data. Glossa Psycholinguistics, 2(1): 1. https://doi.org/10.5070/G60111266. Daten verfügbar unter https://osf.io/a7cg2/.
Schwetlick, L., Backhaus, D., & Engbert, R. (2023). A dynamical scan-path model for task-dependence during scene viewing. Psychological Review, 130(3), 807–840. https://doi.org/10.1037/rev0000379. Daten verfügbar unter https://osf.io/dsyt2/.
2022
Cajar, A., Engbert, R., & Laubrock, J. (2022). Potsdam Eye-Movement Corpus for Scene Memorization and Search With Color and Spatial-Frequency Filtering. Frontiers in Psychology, 13:850482. https://doi.org/10.3389/fpsyg.2022.850482. Daten verfügbar unter https://osf.io/8cwt6/.
2021
Engbert, R., Rabe, M. M., Kliegl, R. & Reich, S. (2021). Sequential data assimilation of the stochastic SEIR epidemic model for regional COVID-19 dynamics. Bulletin of Mathematical Biology, 83, 1–16. https://doi.org/10.1007/s11538-020-00834-8. Daten verfügbar unter https://osf.io/7dshm/.
Rabe, M. M., Chandra, J., Krügel, A., Seelig, S. A., Vasishth, S. & Engbert, R. (2021). A Bayesian approach to dynamical modeling of eye-movement control in reading of normal, mirrored, and scrambled texts. Psychological Review, 128, 803–823. https://doi.org/10.1037/rev0000268. Daten verfügbar unter https://doi.org/10.17605/osf.io/t9sbf.
Seelig, S. A., Risse, S. & Engbert, R. (2021). Predictive modeling of parafoveal information processing during reading. Scientific Reports, 11(12954), 1–9. https://doi.org/10.1038/s41598-021-92140-z. Daten verfügbar unter https://osf.io/kz483/.
2020
Cajar, A., Engbert, R. & Laubrock, J. (2020). How spatial frequencies and color drive object search in real-world scenes: A new eye-movement corpus. Journal of Vision, 20(7):8, 1–16. https://doi.org/10.1167/jov.20.7.8. Daten verfügbar unter https://doi.org/10.17605/OSF.IO/JQ56S.
Chandra, J., Krügel, A. & Engbert, R. (2020). Modulation of oculomotor control during reading of mirrored and inverted texts. Scientific Reports, 10(1), 1–15. https://doi.org/10.1038/s41598-020-60833-6. Daten verfügbar unter https://osf.io/bmvrx/.
Seelig, S. A., Rabe, M. M., Malem-Shinitski, N., Risse, S., Reich, S. & Engbert, R. (2020). Bayesian parameter estimation for the SWIFT model of eye-movement control during reading. Journal of Mathematical Psychology, 95. https://doi.org/10.1016/j.jmp.2019.102313. Daten verfügbar unter https://doi.org/10.17605/OSF.IO/XDKWQ.
2019
Rothkegel, L. O. M., Schütt, H. H., Trukenbrod, H. A., Wichmann, F. A. & Engbert, R. (2019). Searchers adjust their eye-movement dynamics to target characteristics in natural scenes. Scientific Reports, 9(1), 1635. https://doi.org/10.1038/s41598-018-37548-w. Daten verfügbar unter https://doi.org/10.17605/OSF.IO/CAQT2.
Schütt, H. H., Rothkegel, L. O. M., Trukenbrod, H. A., Engbert, R. & Wichmann, F. A. (2019). Disentangling bottom-up versus top-down and low-level versus high-level influences on eye movements over time. Journal of Vision, 19(3):1, 1–23. https://doi.org/10.1167/19.3.1. Daten verfügbar unter https://doi.org/10.17605/OSF.IO/N3BYQ.