An Information Search Model Integrating Visual, Semantic and Memory Processes

Myriam Chanceaux (1) , Anne Guérin-Dugué (2) , Benoît Lemaire (1) , Thierry Baccino (3)

1 AMA - Analyse de données, Modélisation et Apprentissage automatique [Grenoble]
2 GIPSA-GPIG - GIPSA - Géométrie, Perception, Images, Geste
3 LUTIN - Laboratoire des Usages en Technologies d'Information Numériques

This study aims at presenting a computational model of visual search including a visual, a semantic and a memory process in order to simulate human behavior during information seeking. We implemented the memory process, which is the most important part of the model based on the VariableMemoryModel (Arani, Karwan, & G., 1984; Horowitz, 2006). To compare model and humans, we designed two experiments where participants were asked to find the word among forty distributed on the display, which best answers a question. The results showed good fits on different features extracted between empirical and simulated scanpaths.

Mots clés: Visual Memory; Information Seeking; Computational Model; Eye Movements; Semantic Similarities

Domaines: Informatique

Myriam Chanceaux, Anne Guérin-Dugué, Benoît Lemaire, Thierry Baccino. An Information Search Model Integrating Visual, Semantic and Memory Processes. CogSci 2009 - 31st Annual Meeting of the Cognitive Science Society, Jul 2009, Amsterdam, Netherlands. pp.6. ⟨hal-00373097⟩