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dc.contributor.authorPark, Soya
dc.contributor.authorKulkarni, Chinmay
dc.date.accessioned2023-11-15T19:22:40Z
dc.date.available2023-11-15T19:22:40Z
dc.date.issued2023-10-04
dc.identifier.issn2573-0142
dc.identifier.urihttps://hdl.handle.net/1721.1/152988
dc.description.abstractOnline platforms for freelancing allow teams performing complex work to be assembled in a matter of minutes and dispersed nearly as quickly. With such short time frames, \rev{ad hoc} and virtual teams have few opportunities to learn strategies and effective team practices to work with their colleagues. Without such practices, teams are prone to work sub-optimally and lack direction. One key challenge in virtual teams discovering effective team practices is that because \fix{the} practices \fix{ought to} involve situated knowledge, \fix{it takes} time to coalesce, as team members learn about each other over time. This work introduces \Sys{}, that \rev{ad hoc} teams can use to reflect collaboratively and reinforce effective \fix{team} practices. Our interface accelerates \rev{the discovery of} practices \rev{in situ} and then guides them in reinforcing and applying these practices to future tasks. We conducted a between-subjects experiment (N=75) to assess our design with crowdworkers from the Amazon Mechanical Turk platform. This randomized controlled experiment showed that teams using our system for approximately six minutes of collaborative reflection were able to discover effective practices more successfully and had significantly improved team performance and viability. These results indicate that deliberate support for improving team practices can improve outcomes even through very short interaction. We conclude with design implications and opportunities for future work.en_US
dc.publisherACMen_US
dc.relation.isversionofhttps://doi.org/10.1145/3610084en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceAssociation for Computing Machineryen_US
dc.titleRetrospector: Rapid collaborative reflection to improve collaborative practicesen_US
dc.typeArticleen_US
dc.identifier.citationPark, Soya and Kulkarni, Chinmay. 2023. "Retrospector: Rapid collaborative reflection to improve collaborative practices." Proceedings of the ACM on Human-Computer Interaction, 7 (CSCW2).
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.relation.journalProceedings of the ACM on Human-Computer Interactionen_US
dc.identifier.mitlicensePUBLISHER_POLICY
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2023-11-01T07:54:43Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2023-11-01T07:54:44Z
mit.journal.volume7en_US
mit.journal.issueCSCW2en_US
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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