A1 Journal article (refereed)
A dynamic adjustment model of saccade lengths in reading for word-spaced orthographies : evidence from simulations and invisible boundary experiments (2022)

Hautala, J., Hawelka, S., Loberg, O., & Leppänen, P. H. (2022). A dynamic adjustment model of saccade lengths in reading for word-spaced orthographies : evidence from simulations and invisible boundary experiments. Journal of Cognitive Psychology, 34(4), 435-453. https://doi.org/10.1080/20445911.2021.2011895

JYU authors or editors

Publication details

All authors or editors: Hautala, Jarkko; Hawelka, Stefan; Loberg, Otto; Leppänen, Paavo H.T.

Journal or series: Journal of Cognitive Psychology

ISSN: 2044-5911

eISSN: 2044-592X

Publication year: 2022

Publication date: 08/12/2021

Volume: 34

Issue number: 4

Pages range: 435-453

Publisher: Taylor & Francis

Publication country: United Kingdom

Publication language: English

DOI: https://doi.org/10.1080/20445911.2021.2011895

Publication open access: Openly available

Publication channel open access: Partially open access channel

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/79075

Additional information: Simulation model is available at OSF repository: https://osf.io/f6u5p/?view_only=c67ad30e36df4548bf38b80ebcf3de7a

Abstract

Contemporary models of eye movement control in reading assume a discrete target word selection process preceding saccade length computation, while the selection itself is assumed to be driven by word identification processes. However, a potentially more parsimonious, dynamic adjustment view allows both next word length and its content (e.g. orthographic) to modulate saccade length in a continuous manner. Based on a recently proposed center-based saccade length account (a new regression model of forward saccade length is introduced and validated in a simulation study. Further, additional simulations and gaze-contingent invisible boundary experiments were used to study the cognitive mechanisms underlying skipping. Overall, the results support the plausibility of dynamic adjustment of saccade length in word-spaced orthographies. In the future, the present regression formula-based computational model will allow a straightforward implementation of influences of current and next word content (visual, orthographic, or contextual) on saccade length computation.

Keywords: reading; cognitive processes; word recognition (cognition); eye tracking; modelling (representation)

Free keywords: Eye movement control; computational modeling; word length; saccade length

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Ministry reporting: Yes

Reporting Year: 2022

Preliminary JUFO rating: 1