2021
DOI: 10.1080/20445911.2021.2011895
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A dynamic adjustment model of saccade lengths in reading for word-spaced orthographies: evidence from simulations and invisible boundary experiments

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Cited by 6 publications
(23 citation statements)
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“…These empirical findings underlie the new center-Based Saccade Length account of a mechanism of saccade target selection by Cutter et al (2018): following Hautala et al (2022), we label this account dynamic adjustment as opposed to discrete control. On this account, "readers do not plan and execute saccades based on a [preferred saccade length] metric established over a relatively extended period (i.e., an experientially based metric), but instead compute saccade metrics moment to moment on the basis of perceptual information about the length of the word under fixation and the length of the word to which a saccade is to be targeted" (Cutter et al, 2018(Cutter et al, , p. 1439.…”
mentioning
confidence: 78%
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“…These empirical findings underlie the new center-Based Saccade Length account of a mechanism of saccade target selection by Cutter et al (2018): following Hautala et al (2022), we label this account dynamic adjustment as opposed to discrete control. On this account, "readers do not plan and execute saccades based on a [preferred saccade length] metric established over a relatively extended period (i.e., an experientially based metric), but instead compute saccade metrics moment to moment on the basis of perceptual information about the length of the word under fixation and the length of the word to which a saccade is to be targeted" (Cutter et al, 2018(Cutter et al, , p. 1439.…”
mentioning
confidence: 78%
“…For these analyses, we defined initial landing position relative to the word center (in half-letter intervals) and modeled its nonlinear effect as a second-degree polynomial using SPATIAL PARAMETERS OF EYE-MOVEMENT CONTROL poly() function with raw polynomials. In line with (Cutter et al, 2018;Hautala et al, 2022), we also model the effect of the centerbased distance as a second-degree polynomial, using the same function settings. All spatial parameters were estimated in the direction of reading, making Hebrew data comparable with those of other language samples.…”
Section: Variablesmentioning
confidence: 99%
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