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• W2293326312 abstract "Human performance falls off predictably with excessive task difficulty. This paper reports on a search for a task load estimation metric. Of the five physiological signals analyzed from a multitasking study, only pupil dilation measures correlated well with real-time task load. The paper introduces a novel task load estimation model based on pupil dilation measures. We demonstrate its effectiveness in a multitasking driving scenario. Autonomous mediation of notifications using this model significantly improved user task performance compared to no mediation. The model showed promise even when used outside in a car. Results were achieved using low-cost cameras and open-source measurement tools lending to its potential to be used broadly." @default.
• W2293326312 created "2016-06-24" @default.
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• W2293326312 date "2016-03-07" @default.
• W2293326312 modified "2023-10-16" @default.
• W2293326312 title "Task Load Estimation and Mediation Using Psycho-physiological Measures" @default.
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• W2293326312 doi "https://doi.org/10.1145/2856767.2856769" @default.
• W2293326312 hasPublicationYear "2016" @default.
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