A dynamical model of saccade generation in reading based on spatially distributed lexical processing.

By Ralf Engbert, André Longtin, Reinhold Kliegl. Vision Research, 2002

390 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Ophthalmology, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/7f4576300bcf52345309d3d3af296912b2162045

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Citations in the corpus

Children’s eye movements during reading (2011, neutral): “Third, to reiterate, there are several well-developed computational models of eye movements during reading but they are based solely on data from skilled adult readers, (Engbert et al., 2002; Engbert et al., 2005; Pollatsek et al., 2006; Reichle et al., 1998; Reichle et al., 1999, 2003; Reilly & Rad”
E-Z Reader: A cognitive-control, serial-attention model of eye-movement behavior during reading (2006, critical): “This behavior also contradicts what might have been predicted according to some models of eye-movement control (Suppes, 1990, 1994; and to a lesser degree Engbert, Longtin, & Kliegl, 2002; and Reilly & Radach, 2003) – that the agent would simply learn to move its eyes forward at a more-or-less fix”
Tracking the mind during reading: the influence of past, present, and future words on fixation durations. (2006, background): “The loose coupling of lexical processing, visual acuity, and oculomotor constraints advanced in this article is in agreement with core assumptions of our SWIFT model as embodied in its acronym (i.e., autonomous Saccade generation With Inhibition by Foveal Targets; Engbert et al., 2002, 2005).”
Some empirical tests of an interactive activation model of eye movement control in reading (2006, methodology): “These have already been successfully used in the SWIFT model (Engbert et al., 2002) and are good candidate for use in our own modelling approach.”
SWIFT: a dynamical model of saccade generation during reading. (2005, methodology): “In the context of programming of saccades during reading, the assumption of two stages was first introduced by Reichle et al. (1998; see also Engbert & Kliegl, 2001 ) and later used in SWIFT-I (Engbert et al., 2002).”
Human Behavior Inspired Machine Reading Comprehension (2019, methodology): “The first category includes E-Z model [28, 29], SWIFT [9, 10] and the Bayesian reading model [3], which formalized the human reading patterns in non-contextual reading settings.”