Bayesian modeling of human performance in a visual processing training software - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2010

Bayesian modeling of human performance in a visual processing training software

Résumé

Dyslexia is a deficit of the identification of words, which is thought to be a consequence of different possible cognitive impairments. Recent data suggest that one of these might be a specific deficit of the visual attention span (VAS). We are developing a remediation software for dyslexic children that focuses on the VAS and its training. A central component of this software is the estimation of the performance of a given participant for all possible exercises. We describe a preliminary probabilistic model of participant performance, based on Bayesian modeling and inference. We mathematically define the model, making explicit underlying generalization hypotheses. The model yields a computation of the most probable predicted performance space, and, as a direct extension, an exercise selection strategy.
Fichier principal
Vignette du fichier
diard10_hal2.pdf (2.27 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00530368 , version 1 (29-10-2010)

Identifiants

  • HAL Id : hal-00530368 , version 1

Citer

Julien Diard, Muriel Lobier, Sylviane Valdois. Bayesian modeling of human performance in a visual processing training software. 3rd international Conference on Applied Human Factors and Ergonomics, Jul 2010, Miami, United States. pp.467-476. ⟨hal-00530368⟩
129 Consultations
154 Téléchargements

Partager

Gmail Facebook X LinkedIn More