中文标题#
WigglyEyes：从按键数据推断眼动
英文标题#
WigglyEyes: Inferring Eye Movements from Keypress Data
中文摘要#
我们提出一个模型，仅基于按键数据推断用户在交互过程中的注视位置。 给定一个按键日志，它会输出一个扫描路径，逐时刻说明用户在输入这些按键时眼睛是如何移动的。 在收集真实眼动数据成本高昂或不可能的情况下，该模型可以作为人类数据的替代。 我们的技术见解是一种推理架构，它考虑了用户的个体特征，这些特征被推断为一个低维参数向量。 我们提出了一个新颖的损失函数，用于将推断的眼动与按键同步。 在触屏输入上的评估表明了准确的注视推断。
英文摘要#
We present a model for inferring where users look during interaction based on keypress data only. Given a key log, it outputs a scanpath that tells, moment-by-moment, how the user had moved eyes while entering those keys. The model can be used as a proxy for human data in cases where collecting real eye tracking data is expensive or impossible. Our technical insight is an inference architecture that considers the individual characteristics of the user, inferred as a low-dimensional parameter vector. We present a novel loss function for synchronizing inferred eye movements with the keypresses. Evaluations on touchscreen typing demonstrate accurate gaze inference.
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