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Our work aims to evaluate the potential impact of the use of ocular perceptions analysis in the relevance feedback mechanism of a retrieval engine. We focus on ecological situations where the user evaluates the relevance of the results of a query via the snippets displayed on the results page. Our hypothesis is that the knowledge of the terms read by a user on the result page can be used to improve the relevance feedack mechanism, without explicit intervention of the user. For this, we model the visual behavior of the user when reading the results of a query, to extract indicators. We explored the last fixed word and the longest fixed word, in the results page and in each snippet. The results of the user experiments indicate that the longest fixation word is often a relevant word to complement the query. MOTS-CLÉS : bouclage de pertinence, page de résultats, snippet, comportement perceptivo-gestuel,

Exploration de l’apport de l’analyse des perceptions oculaires : étude préliminaire pour le bouclage de pertinence