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Research Data

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. Online data available at https://doi.org/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. Online data available at 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. Online data available at https://doi.org/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. Online data available at 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. Online data available at https://doi.org/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. Online data available at https://doi.org/10.17605/OSF.IO/XDKWQ.

2019

Risse, S., & Seelig, S. (2019). Stable preview difficulty effects in reading with an improved variant of the boundary paradigm. Quarterly Journal of Experimental Psychology, 72(7), 1632–1645. https://doi.org/10.1177/1747021818819990. Online data available at https://doi.org/10.17605/OSF.IO/KZ483.

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. Online data available at 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. Online data available at https://doi.org/10.17605/OSF.IO/N3BYQ.