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Crowdsourcing Coordination: A Review and Research Agenda for Crowdsourcing Coordination Used for Macro-tasks

dc.contributor.authorKim, Sangmi
dc.contributor.authorRobert, Lionel + "Jr"
dc.date.accessioned2019-08-11T00:16:48Z
dc.date.available2019-08-11T00:16:48Z
dc.date.issued2019-08-10
dc.identifier.citationKim, S. and Robert, L. P. (2019). Crowdsourcing Coordination: A Review and Research Agenda for Crowdsourcing Coordination used for Macro-tasks. In J. Khan, I. Lykourentzou, K. Papangelis & P. Markopoulos (Eds.), Macro-task Crowdsourcing: Engaging the Crowds to Address Complex Problems. Springer Human Computer Interaction Series. Springer Nature Switzerland AG. Cham, Switzerland.en_US
dc.identifier.issn978-3-030-12334-5
dc.identifier.urihttps://hdl.handle.net/2027.42/150620
dc.description.abstractCrowdsourcing has become a widely accepted approach to leveraging the skills and expertise of others to accomplish work. Despite the potential of crowdsourcing to tackle complex problems, it has often been used to address simple micro-tasks. To tackle more complex macro-tasks, more attention is needed to better comprehend crowd coordination. Crowd coordination is defined as the synchronization of crowd workers in an attempt to direct and align their efforts in pursuit of a shared goal. The goal of this chapter is to advance our understanding of crowd coordination to tackle complex macro-tasks. To accomplish this, we have three objectives. First, we review popular theories of coordination. Second, we examine the current approaches to crowd coordination in the HCI and CSCW literature. Finally, the chapter identifies shortcomings in the literature and proposes a research agenda directed at advancing our understanding of crowd coordination needed to address complex macro-tasks.en_US
dc.description.sponsorshipNational Science Foundation grant CHS-1617820en_US
dc.language.isoen_USen_US
dc.publisherSpringer Natureen_US
dc.subjectCrowdsourcingen_US
dc.subjectmicro-tasksen_US
dc.subjectmacro-tasksen_US
dc.subjectcrowdworken_US
dc.subjectCrowd coordinationen_US
dc.subjectgroup coordinationen_US
dc.subjectHCIen_US
dc.subjectcomputer supported collaborative worken_US
dc.subjectcrowdsourcing literature reviewen_US
dc.subjecthuman computer interactionen_US
dc.subjectcrowden_US
dc.subjectMechanical Turken_US
dc.subjectCrowdFloweren_US
dc.subjectCrowdsourcing platformsen_US
dc.subjectdigital platformsen_US
dc.subjectsharing economyen_US
dc.subjectcoordinating micro-tasksen_US
dc.subjecttransactive memory systemen_US
dc.subjectCoordination theoryen_US
dc.subjectRole-Based Coordination Theoryen_US
dc.subjectRelational Coordination Theoryen_US
dc.subjectStigmergic Coordination Theoryen_US
dc.subjectIntegrative Coordination Frameworken_US
dc.subjectcoordination mechanismsen_US
dc.subjectCrowdsourcing macro-tasksen_US
dc.subjectonline coordinationen_US
dc.subjectCrowdsourcing Research Agendaen_US
dc.titleCrowdsourcing Coordination: A Review and Research Agenda for Crowdsourcing Coordination Used for Macro-tasksen_US
dc.typeBook Chapteren_US
dc.subject.hlbsecondlevelInformation and Library Science
dc.subject.hlbtoplevelSocial Sciences
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumInformation, School ofen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/150620/1/Kim and Robert 2019 Preprint Chapter 2.pdf
dc.identifier.sourceMacro-task Crowdsourcing: Engaging the Crowds to Address Complex Problemsen_US
dc.identifier.orcid0000-0002-1410-2601en_US
dc.description.filedescriptionDescription of Kim and Robert 2019 Preprint Chapter 2.pdf : Preprint Version
dc.identifier.name-orcidRobert, Lionel P.; 0000-0002-1410-2601en_US
dc.owningcollnameInformation, School of (SI)


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