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Theses

Modélisation bayésienne algorithmique de la reconnaissance visuelle de mots et de l’attention visuelle

Abstract : In this thesis, we propose an original theoretical framework of visual word recognition, and implement it mathematically to evaluate its ability to reproduce experimental observations of the field. A critical review of previous computational models leads us to define specifications in the form of a set of five hypotheses, that form the basis of the proposed theoretical framework: the model is built on a three-layer architecture (sensory, perceptual, lexical); letter processing is parallel; positional coding is distributed; finally, sensory processing involves gaze position, visual acuity, and visual attention distribution. To implement the model, we rely on the Bayesian algorithmic modeling methodology, and define the BRAID model (for “Bayesian word Recognition with Attention, Interference and Dynamics”). We verify the model’s ability to account for main experimental observations of studies of letter perceptibility (for instance, the word and pseudo-word superiority effects, the context effects), and of visual word recognition and lexical decision (for instance, the frequency effects and neighborhood effects). Overall, we successfully simulate 28 behavioral experiments, accounting for subtle effects in each domain. We discuss the theoretical hypotheses underlying the model in light of our experimental results, and propose various possible extensions of the model, highlighting the flexibility of the chosen framework.
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https://tel.archives-ouvertes.fr/tel-01735606
Contributor : Thierry Phénix <>
Submitted on : Friday, March 16, 2018 - 10:37:36 AM
Last modification on : Saturday, March 17, 2018 - 1:00:36 AM
Long-term archiving on: : Tuesday, September 11, 2018 - 7:03:38 AM

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Thierry Phénix. Modélisation bayésienne algorithmique de la reconnaissance visuelle de mots et de l’attention visuelle. Sciences cognitives. Ecole doctorale : Ingénierie pour la santé la Cognition et l'Environnement, 2018. Français. ⟨tel-01735606⟩

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