Predicting the optimal time for interruption using pupillary data and classification

Hagit Shaposhnik, Niels Taatgen, Jelmer Borst

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)
182 Downloads (Pure)
Original languageEnglish
Title of host publicationProceedings of the Annual Conference of the Cognitive Science Society
PublisherCognitive Science Society
Pages2479-2484
Number of pages6
ISBN (Print)9781510872059
Publication statusPublished - 2018
Event40th Annual Meeting of the Cognitive Science Society (CogSci 2018): Changing/Minds - Madison, Wisconsin, United States
Duration: 25-Jul-201828-Jul-2018

Conference

Conference40th Annual Meeting of the Cognitive Science Society (CogSci 2018)
Country/TerritoryUnited States
City Madison, Wisconsin
Period25/07/201828/07/2018

Cite this