结合趋势扫描路径与觉醒来模拟网络上的视觉行为:神经正常人群与自闭症患者的案例研究

Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization Pub Date : 2019-06-07 DOI:10.1145/3320435.3320446

Oludamilare Matthews, Sukru Eraslan, Victoria Yaneva, Alan Davies, Y. Yeşilada, Markel Vigo, S. Harper

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引用次数: 6

摘要

自闭症患者通常表现出与正常神经使用者不同的视觉行为。为了探索这些差异是如何在网络上表现出来的，我们通过结合瞳孔反应(一种不显眼的生理唤醒测量方法)和显示视觉注意力的眼球追踪扫描路径来模拟视觉行为。我们在两个人群中评估了我们的方法:19名神经正常用户和19名自闭症用户。我们观察到他们视觉行为的差异，因为在某些情况下，自闭症患者对情感内容表现出较低的唤醒反应。虽然这与有关自闭症的文献一致，但我们在网上证实了这一现象。我们讨论了如何使用我们的建模方法来识别可能的用户体验问题，如压力、认知负荷和与生理唤醒相关的Web元素感知差异的存在。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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.

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Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization

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