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dc.contributor.authorCai, Carrie Jun
dc.contributor.authorGuo, Philip J
dc.contributor.authorGlass, James R
dc.contributor.authorMiller, Robert C
dc.date.accessioned2017-12-08T19:54:17Z
dc.date.available2017-12-08T19:54:17Z
dc.date.issued2015-04
dc.identifier.isbn978-1-4503-3145-6
dc.identifier.urihttp://hdl.handle.net/1721.1/112662
dc.description.abstractCompeting priorities in daily life make it difficult for those with a casual interest in learning to set aside time for regular practice. In this paper, we explore wait-learning: leveraging brief moments of waiting during a person's existing conversations for second language vocabulary practice, even if the conversation happens in the native language. We present an augmented version of instant messaging, WaitChatter, that supports the notion of wait-learning by displaying contextually relevant foreign language vocabulary and micro-quizzes just-in-time while the user awaits a response from her conversant. Through a two week field study of WaitChatter with 20 people, we found that users were able to learn 57 new words on average during casual instant messaging. Furthermore, we found that users were most receptive to learning opportunities immediately after sending a chat message, and that this timing may be critical given user tendency to multi-task during waiting periods.en_US
dc.description.sponsorshipQuanta Computer (Firm)en_US
dc.description.sponsorshipLincoln Laboratoryen_US
dc.language.isoen_US
dc.publisherAssociation for Computing Machineryen_US
dc.relation.isversionofhttp://dx.doi.org/10.1145/2702123.2702267en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceMIT Web Domainen_US
dc.titleWait-Learning: Leveraging Wait Time for Second Language Educationen_US
dc.typeArticleen_US
dc.identifier.citationCai, Carrie J., Philip J. Guo, James R. Glass, and Robert C. Miller. “Wait-Learning: Leveraging Wait Time for Second Language Educationg.” Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems - CHI ’15 (2015).en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.mitauthorCai, Carrie Jun
dc.contributor.mitauthorGuo, Philip J
dc.contributor.mitauthorGlass, James R
dc.contributor.mitauthorMiller, Robert C
dc.relation.journalProceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems - CHI '15en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsCai, Carrie J.; Guo, Philip J.; Glass, James R.; Miller, Robert C.en_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0001-9421-7128
dc.identifier.orcidhttps://orcid.org/0000-0002-3097-360X
dc.identifier.orcidhttps://orcid.org/0000-0002-0442-691X
mit.licenseOPEN_ACCESS_POLICYen_US


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