From gaze plots to eye fixation patterns using a clustering method based on Hausdorff distances

Abstract : Eye-tracking studies have provided us with interesting findings regarding the way users explore Web pages. Usually, visual fixations are represented using gaze plots and heatmaps. Probably one of the most cited studies on Web page exploration is the one by Nielsen [15] who demonstrated that users often read Web pages in an F-shaped pattern. However, this conclusion is based on aggregated data that do not represent any real user. In order to characterize and to compare scanpaths so as to uncover possible scan-patterns, a clustering method based on the Hausdorff distance has been applied to the data from 113 users. The results have shown that scan-patterns could be identified. Groups of users have been identified and their behaviors have been described with diverse eye-tracking metrics. The contributions of this study are outlined as well as its drawbacks. Research perspectives are proposed.
Type de document :
Communication dans un congrès
Michel Riveill. IHM'11 23th French speaking Conference on Human-Computer Interaction , Oct 2011, Nice, France. ACM, IHM '11 Proceedings of the 23rd Conference on l'Interaction Homme-Machine ISBN 978-1-4503-0822-9, pp.Article N° 1, 2011, 〈10.1145/2044354.2044356〉
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Soumis le : vendredi 12 mai 2017 - 09:54:03
Dernière modification le : mercredi 22 novembre 2017 - 11:00:01

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Gautier Drusch, J. M. Christian Bastien, Jérôme Dinet. From gaze plots to eye fixation patterns using a clustering method based on Hausdorff distances. Michel Riveill. IHM'11 23th French speaking Conference on Human-Computer Interaction , Oct 2011, Nice, France. ACM, IHM '11 Proceedings of the 23rd Conference on l'Interaction Homme-Machine ISBN 978-1-4503-0822-9, pp.Article N° 1, 2011, 〈10.1145/2044354.2044356〉. 〈hal-01521626〉

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