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dc.contributor.authorChilton, Lydia B.
dc.contributor.authorCordeiro, Felicia
dc.contributor.authorLanday, James A.
dc.contributor.authorWeld, Daniel S.
dc.contributor.authorDow, Steven P.
dc.contributor.authorMiller, Robert C.
dc.contributor.authorZhang, Haoqi
dc.contributor.authorKim, Ju Ho
dc.contributor.authorAndre, Paul
dc.date.accessioned2014-09-26T17:49:12Z
dc.date.available2014-09-26T17:49:12Z
dc.date.issued2014-04
dc.identifier.isbn9781450324731
dc.identifier.urihttp://hdl.handle.net/1721.1/90408
dc.description.abstractOrganizing conference sessions around themes improves the experience for attendees. However, the session creation process can be difficult and time-consuming due to the amount of expertise and effort required to consider alternative paper groupings. We present a collaborative web application called Frenzy to draw on the efforts and knowledge of an entire program committee. Frenzy comprises (a) interfaces to support large numbers of experts working collectively to create sessions, and (b) a two-stage process that decomposes the session-creation problem into meta-data elicitation and global constraint satisfaction. Meta-data elicitation involves a large group of experts working simultaneously, while global constraint satisfaction involves a smaller group that uses the meta-data to form sessions. We evaluated Frenzy with 48 people during a deployment at the CSCW 2014 program committee meeting. The session making process was much faster than the traditional process, taking 88 minutes instead of a full day. We found that meta-data elicitation was useful for session creation. Moreover, the sessions created by Frenzy were the basis of the CSCW 2014 schedule.en_US
dc.description.sponsorshipFord-MIT Allianceen_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Award SOCS-1111124)en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Award SOCS-1208382)en_US
dc.description.sponsorshipUnited States. Office of Naval Research (Grant N00014-12-1-0211)en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Grant IIS 1016713)en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Grant IIS-1110965)en_US
dc.language.isoen_US
dc.publisherAssociation for Computing Machinery (ACM)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1145/2556288.2557375en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceOther univ. web domainen_US
dc.titleFrenzy: Collaborative data organization for creating conference sessionsen_US
dc.typeArticleen_US
dc.identifier.citationLydia B. Chilton, Juho Kim, Paul Andre, Felicia Cordeiro, James A. Landay, Daniel S. Weld, Steven P. Dow, Robert C. Miller, and Haoqi Zhang. 2014. Frenzy: collaborative data organization for creating conference sessions. In Proceedings of the 32nd annual ACM conference on Human factors in computing systems (CHI '14). ACM, New York, NY, USA, 1255-1264.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.mitauthorKim, Ju Hoen_US
dc.contributor.mitauthorMiller, Robert C.en_US
dc.contributor.mitauthorZhang, Haoqien_US
dc.relation.journalProceedings of the 32nd annual ACM conference on Human factors in computing systems (CHI '14)en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsChilton, Lydia B.; Kim, Juho; Andre, Paul; Cordeiro, Felicia; Landay, James A.; Weld, Daniel S.; Dow, Steven P.; Miller, Robert C.; Zhang, Haoqien_US
dc.identifier.orcidhttps://orcid.org/0000-0001-6348-4127
dc.identifier.orcidhttps://orcid.org/0000-0002-0442-691X
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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