B03: Modelling the interaction between eye-movement control and parsing processes

This project aims to develop mathematical/computational models to investigate how eye movements and natural language parsing processes influence and interact with each other. Based on novel experimental designs and an integrated modeling approach, we will seek to explain how the dynamical interaction of subprocesses (vision, attention, parsing, sensorimotor control) generates the observed variability in language processing between and within participants under varying task demands.

Staff

Prof. Dr. Ralf Engbert

PI B03

Campus Golm
Department of Psychology
Karl-Liebknecht-Str. 24-25, House 14, Room 4.03
14476 Potsdam

Prof. Dr. Shravan Vasishth

PI B03

Campus Golm
Department Linguistics
Karl-Liebknecht-Strasse 24-25, House 14, Room 2.34
14476 Potsdam

Daniela Mertzen

Campus Golm
Department Linguistics
Karl-Liebknecht-Strasse 24-25, House 14, Room 1.34
14476 Potsdam

Maximilian Rabe

Campus Golm
Department of Psychology
Karl-Liebknecht-Strasse 24-25, House 14, Room 4.02
14476 Potsdam

Publications

Publications with scientific quality assurance

Author(s)	Year	Title	published in
Chandra, J., Krügel, A., & Engbert, R.	2019	Experimental test of Bayesian saccade targeting under reversed reading direction.	Attention, Perception, & Psychophysics. doi:10.3758/s13414-019-01814-4
Engelmann, F., Jäger, L. A., & Vasishth, S.	2019	The effect of prominence and cue association in retrieval processes: A computational account.	Cognitive Science, 43: e12800. doi:10.1111/cogs.12800
Jäger, L. A., Mertzen, D., Van Dyke, J. A., & Vasishth, S.	2020	Interference patterns in subject-verb agreement and reflexives revisited: A large-sample study.	Journal of Memory and Language, 111: 104063. doi:10.1016/j.jml.2019.104063
Rabe, M. M., Vasishth, S., Hohenstein, S., Kliegl, R., & Schad, D. J.	2020	hypr: An R package for hypothesis-driven contrast coding.	The Journal of Open Source Software, 5(48), 2134. doi:10.21105/joss.02134
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(April 2020), 102313. doi:10.1016/j.jmp.2019.102313
Vasishth, S., Nicenboim, B., Engelmann, F., & Burchert, F.	2019	Computational models of retrieval processes in sentence processing.	Trends in Cognitive Sciences, 23(11), 968–982. doi:10.1016/j.tics.2019.09.003
Vasishth, S., Mertzen, D., Jäger, L.A., & Gelman, A.	2018	The statistical significance filter leads to overoptimistic expectations of replicability.	Journal of Memory and Language, 103, 151-175. doi:10.1016/j.jml.2018.07.004
* These proceedings / conference presentations are considered as truly peer-reviewed

Other publications

Author(s)	Year	Titel	published in
Mertzen, D., Laurinavichyute, A., Dillon, B. W., Engbert, R., & Vasishth, S.	2020	A cross-linguistic investigation of proactive, similarity-based retrieval interference in sentence comprehension: No support form English, German and Russian eye-tracking data.	PsyArXiv Preprint. doi:10.31234/osf.io/t2j8v
Rabe, M. M., Chandra, J., Krügel, A., Seelig, S. A., Vasishth, S., & Engbert, R.	2019	A Bayesian approach to dynamical modeling of eye-movement control in reading of normal, mirrored, and scrambled texts.	PsyArXiv Preprints. doi:10.31234/osf.io/nw2pb

Invited talks & conference presentations

Author(s)	Year	Title	Where	LInk
Mertzen, D., Dillon, B. W., Laurinavichyute, A., & Vasishth, S.	2019	A cross-linguistic investigation of similarity-based interference and depth of processing in English and German.	Poster presented at the Architectures and Mechanisms of Language Processing (AMLaP 2019), Moscow, Russia. 06 - 08 September.	Poster
Mertzen, D., Laurinavichyute, A., Dillon, B. W., & Vasishth, S.	2020	A pre-registered large-sample investigation of similarity-based interference in English, German and Russian.	Paper presented at the 33rd Annual CUNY Human Sentence Processing Conference University of Massachusetts, Amherst, MA, USA. 19 - 21 March.	Talk
Rabe, M. M.	2019	Eye-movement control during reading: Bayesian parameter inference of the dynamical SWIFT model.	Invited talk at the University of Victoria, Victoria, BC, Canada. 01 November.
Rabe, M. M., Chandra, J., Krügel, A., Seelig, S. A., & Engbert, R.	2019	Bayesian inference of dynamical cognitive and oculomotor processes in the SWIFT model of reading.	Poster presented at the 60th Annual Meeting of the Psychonomic Society, Montréal, QC, Canada. 14 - 17 November.	Poster
Rabe, M. M., Chandra, J., Krügel, A., Seelig, S. A., & Engbert, R.	2019	Bayesian inference of the SWIFT model: Reading mirrored, scrambled, and normal texts.	Poster presented at the 20th European Conference on Eye Movements (ECEM 20), Alicante, Spain. 18 - 22 August.	Poster
Seelig, S. A., Rabe, M. M., Malem-Shinitski, N., Reich, S., & Engbert, R.	2019	Bayesian parameter estimation for the SWIFT model of eye-movement control during reading.	Poster presented at the Conference on Cognitive Computational Neuroscience (CCN) 2019, Technical University of Berlin, Berlin, Germany. 13 - 16 September.	Poster
Vasishth, S.	2019	Prenominal relatives clauses in Mandarin: Implications for theories of sentence processing.	Invited talk at the GK Colloquium, Institut für Linguistik, Goethe-Universität Frankfurt, Frankfurt, Germany. 14 May
Vasishth, S.	2019	Is pre-registration a bad idea or a very bad idea?	Invited talk at the Humboldt-Universität zu Berlin, Berlin, Germany. 24 January.

B03: Modelling the interaction between eye-movement control and parsing processes

Staff

Prof. Dr. Ralf Engbert

Prof. Dr. Shravan Vasishth

Daniela Mertzen

Maximilian Rabe

Publications

Publications with scientific quality assurance

Other publications

Invited talks & conference presentations

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