中文标题#
WigglyEyes：從按鍵數據推斷眼動
英文标题#
WigglyEyes: Inferring Eye Movements from Keypress Data
中文摘要#
我們提出一個模型，僅基於按鍵數據推斷用戶在互動過程中的注視位置。 給定一個按鍵日誌，它會輸出一個掃描路徑，逐時刻說明用戶在輸入這些按鍵時眼睛是如何移動的。 在收集真實眼動數據成本高昂或不可能的情況下，該模型可以作為人類數據的替代。我們的技術見解是一種推斷架構，它考慮了用戶的個體特徵，這些特徵被推斷為一個低維參數向量。我們提出了一個新穎的損失函數，用於將推斷的眼動與按鍵同步。在觸屏輸入上的評估表明了準確的注視推斷。
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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