Combining Trending Scan Paths with Arousal to Model Visual Behaviour on the Web: A Case Study of Neurotypical People vs People with Autism

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2019-01-01

Author

Matthews, Oludamilare
Eraslan, Sukru
Yaneva, Victoria
Davies, Alan
Yesilada, Yeliz
Vigo, Markel
Harper, Simon

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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, individuals with autism exhibit a lower arousal response to affective contents. While this is consistent with the literature on autism, we confirm this phenomenon on the Web. We discuss how our modelling method can be used to identify possible UX issues such as the presence of stress, cognitive load and differences in the perception of Web elements in relation to physiological arousal.

Subject Keywords

Arousal, Pupillary response, HCI, UX, Scan path, STA, Autism

URI

https://hdl.handle.net/11511/68394

DOI

https://doi.org/10.1145/3320435.3320446

Conference Name

27th ACM Conference on User Modeling, Adaptation and Personalization (ACM UMAP)

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Engineering, Conference / Seminar

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Citation Formats

O. Matthews et al., “Combining Trending Scan Paths with Arousal to Model Visual Behaviour on the Web: A Case Study of Neurotypical People vs People with Autism,” Larnaca, Cyprus, 2019, p. 86, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/68394.