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Communication Dans Un Congrès Année : 2008

Towards a Model of Information Seeking by Integrating Visual, Semantic and Memory Maps

Résumé

This paper presents a threefold model of information seeking. A visual, a semantic and a memory map are dynamically computed in order to predict the location of the next fixation. This model is applied to a task in which the goal is to find among 40 words the one which best corresponds to a definition. Words have visual features and they are semantically organized. The model predicts scanpaths which are compared to human scanpaths on 3 high-level variables (number of fixations, average angle between saccades, rate of progression saccades). The best fit to human data is obtained when the memory map is given a strong weight and the semantic component a low weight.
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Dates et versions

hal-00311725 , version 1 (20-08-2008)

Identifiants

  • HAL Id : hal-00311725 , version 1

Citer

Myriam Chanceaux, Anne Guérin-Dugué, Benoît Lemaire, Thierry Baccino. Towards a Model of Information Seeking by Integrating Visual, Semantic and Memory Maps. ICVW 2008 - 4th International Cognitive Vision Workshop, May 2008, Santorini, Greece. pp.65-78. ⟨hal-00311725⟩
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