用注视属性检测语言能力的研究

Jakob Karolus, Paweł W. Woźniak, L. Chuang
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引用次数: 1

摘要

人类天生就善于利用他人微妙的生理暗示,比如谈话中的凝视方向。个人电脑尚未探索这种隐式输入方式。在一项有14名参与者的研究中,我们调查了如何在自适应计算机系统中利用用户的目光。特别是,我们通过向参与者展示多种语言的简单问题来研究不同语言对眼球运动的影响。我们发现,注视时间足以确定用户是否对给定语言非常精通。我们建议如何使用这些发现来实现对用户的注视作出隐式反应的自适应可视化。
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Towards Using Gaze Properties to Detect Language Proficiency
Humans are inherently skilled at using subtle physiological cues from other persons, for example gaze direction in a conversation. Personal computers have yet to explore this implicit input modality. In a study with 14 participants, we investigate how a user's gaze can be leveraged in adaptive computer systems. In particular, we examine the impact of different languages on eye movements by presenting simple questions in multiple languages to our participants. We found that fixation duration is sufficient to ascertain if a user is highly proficient in a given language. We propose how these findings could be used to implement adaptive visualizations that react implicitly on the user's gaze.
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