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Chapitre d'ouvrage Année : 2008

Towards a model of information seek-ing 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

halshs-00631651, version 1 (12-10-2011)

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Myriam Chanceaux, Anne Guérin-Dugué, Benoît Lemaire, Thierry Baccino. Towards a model of information seek-ing by integrating visual, semantic and memory maps. Barbara Caputo, Markus Vincze (Eds.). Cognitive Vision. ICVW 2008, 5329, Springer, pp.65-78, 2008, Lecture Notes in Computer Science, 978-3-540-92780-8. ⟨10.1007/978-3-540-92781-5_6⟩. ⟨halshs-00631651⟩
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Dernière date de mise à jour le 26/06/2024
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