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dc.contributor.authorBhardwaj, Anant P.
dc.contributor.authorKim, Juho
dc.contributor.authorDow, Steven
dc.contributor.authorKarger, David R.
dc.contributor.authorMadden, Samuel R.
dc.contributor.authorMiller, Robert C.
dc.contributor.authorZhang, Haoqi
dc.date.accessioned2015-12-27T23:16:57Z
dc.date.available2015-12-27T23:16:57Z
dc.date.issued2014-11
dc.identifier.urihttp://hdl.handle.net/1721.1/100510
dc.description.abstractConstructing a good conference schedule for a large multi-track conference needs to take into account the preferences and constraints of organizers, authors, and attendees. Creating a schedule which has fewer conflicts for authors and attendees, and thematically coherent sessions is a challenging task. Cobi introduced an alternative approach to conference scheduling by engaging the community to play an active role in the planning process. The current Cobi pipeline consists of committee-sourcing and author-sourcing to plan a conference schedule. We further explore the design space of community-sourcing by introducing attendee-sourcing -- a process that collects input from conference attendees and encodes them as preferences and constraints for creating sessions and schedule. For CHI 2014, a large multi-track conference in human-computer interaction with more than 3,000 attendees and 1,000 authors, we collected attendees’ preferences by making available all the accepted papers at the conference on a paper recommendation tool we built called Confer, for a period of 45 days before announcing the conference program (sessions and schedule). We compare the preferences marked on Confer with the preferences collected from Cobi’s author-sourcing approach. We show that attendee-sourcing can provide insights beyond what can be discovered by author-sourcing. For CHI 2014, the results show value in the method and attendees’ participation. It produces data that provides more alternatives in scheduling and complements data collected from other methods for creating coherent sessions and reducing conflicts.en_US
dc.language.isoen_US
dc.publisherAssociation for the Advancement of Artificial Intelligence (AAAI)en_US
dc.relation.isversionofhttp://www.aaai.org/ocs/index.php/HCOMP/HCOMP14/paper/view/8974en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcearXiven_US
dc.titleAttendee-Sourcing: Exploring The Design Space of Community-Informed Conference Schedulingen_US
dc.typeArticleen_US
dc.identifier.citationBhardwaj, Anant, Juho Kim, Steven Dow, David Karger, Sam Madden, Rob Miller, and Haoqi Zhang. "Attendee-Sourcing: Exploring The Design Space of Community-Informed Conference Scheduling." Second AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2014) (November 2014).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.mitauthorBhardwaj, Anant P.en_US
dc.contributor.mitauthorKim, Juhoen_US
dc.contributor.mitauthorKarger, David R.en_US
dc.contributor.mitauthorMadden, Samuel R.en_US
dc.contributor.mitauthorMiller, Robert C.en_US
dc.relation.journalProceedings of the Second AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2014)en_US
dc.eprint.versionOriginal manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsBhardwaj, Anant; Kim, Juho; Dow, Steven; Karger, David; Madden, Sam; Miller, Rob; Zhang, Haoqien_US
dc.identifier.orcidhttps://orcid.org/0000-0002-7470-3265
dc.identifier.orcidhttps://orcid.org/0000-0001-6348-4127
dc.identifier.orcidhttps://orcid.org/0000-0002-0024-5847
dc.identifier.orcidhttps://orcid.org/0000-0002-0442-691X
dc.identifier.orcidhttps://orcid.org/0000-0002-4642-1869
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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