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Combining Trending Scan Paths with Arousal to Model Visual Behaviour on the Web
Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization - UMAP '19
People with autism often exhibit different visual behaviours from neurotypical users. To explore how these differences are exhibited on the Web, we model visual behaviour by combining pupillary response, which is an unobtrusive measure of physiological arousal, with eye-tracking scan paths that indicate visual attention. We evaluated our approach with two populations: 19 neurotypical users and 19 users with autism. We observe differences in their visual behaviours as, in certain instances,doi:10.1145/3320435.3320446 dblp:conf/um/MatthewsEYDYVH19 fatcat:i752bshpu5dbpowqwsxivk3ywa