Faces of Focus:A Study on the Facial Cues of Attentional States

Babaei, Ebrahim and Srivastava, Namrata and Newn, Joshua and Zhou, Qiushi and Dingler, Tilman and Velloso, Eduardo (2020) Faces of Focus:A Study on the Facial Cues of Attentional States. In: CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. ACM, New York, pp. 1-13. ISBN 9781450367080

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Automatically detecting attentional states is a prerequisite for designing interventions to manage attention - knowledge workers' most critical resource. As a first step towards this goal, it is necessary to understand how different attentional states are made discernible through visible cues in knowledge workers. In this paper, we demonstrate the important facial cues to detect attentional states by evaluating a data set of 15 participants that we tracked over a whole workday, which included their challenge and engagement levels. Our evaluation shows that gaze, pitch, and lips part action units are indicators of engaged work; while pitch, gaze movements, gaze angle, and upper-lid raiser action units are indicators of challenging work. These findings reveal a significant relationship between facial cues and both engagement and challenge levels experienced by our tracked participants. Our work contributes to the design of future studies to detect attentional states based on facial cues.

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11 Feb 2022 15:55
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17 Sep 2023 04:11