A dynamic adjustment model of saccade lengths in reading for word-spaced orthographies : evidence from simulations and invisible boundary experiments
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
Julkaistu sarjassa
Journal of Cognitive PsychologyPäivämäärä
2022Tekijänoikeudet
© 2021 the Authors
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.
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Taylor & FrancisISSN Hae Julkaisufoorumista
2044-5911Asiasanat
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https://converis.jyu.fi/converis/portal/detail/Publication/102424403
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The authors would like to thank research assistants Nina Kullberg and Julia Turok, whose work was supported by Grant 274022 from the Academy of Finland to Paavo H. T. Leppänen. The work of Jarkko Hautala was supported by Grant 317030 from the Academy of Finland. The work of Stefan Hawelka was supported by Grant P 31299 from the Austrian Science Fund (FWF).Lisenssi
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