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Predicting the Optimal Time for Interruption using Pupillary Data and Classification

Hagit Shaposhnik, Niels Taatgen, Jelmer P. Borst. Predicting the Optimal Time for Interruption using Pupillary Data and Classification. In Chuck Kalish, Martina A. Rau, Xiaojin (Jerry) Zhu, Timothy T. Rogers, editors, Proceedings of the 40th Annual Meeting of the Cognitive Science Society, CogSci 2018, Madison, WI, USA, July 25-28, 2018. cognitivesciencesociety.org, 2018. [doi]

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