Crowdsourcing Controls: A Review and Research Agenda for Crowdsourcing Controls Used for Macro-tasks
dc.contributor.author | Robert, Lionel + "Jr" | |
dc.date.accessioned | 2019-08-08T21:51:55Z | |
dc.date.available | 2019-08-08T21:51:55Z | |
dc.date.issued | 2019-08-08 | |
dc.identifier.citation | Robert, L. P. (2019). Crowdsourcing Controls: A Review and Research Agenda for Crowdsourcing Controls 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. Chan, Switzerland. | en_US |
dc.identifier.issn | 978-3-030-12334-5 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/150493 | |
dc.description.abstract | Crowdsourcing—the employment of ad hoc online labor to perform various tasks—has become a popular outsourcing vehicle. Our current approach to crowdsourcing—focusing on micro-tasks—fails to leverage the potential of crowds to tackle more complex problems. To leverage crowds to tackle more complex macro tasks requires a better comprehension of crowdsourcing controls. Crowdsourcing controls are mechanisms used to align crowd workers’ actions with predefined standards to achieve a set of goals and objectives. Unfortunately, we know very little about the topic of crowdsourcing controls directed at accomplishing complex macro tasks. To address issues associated with crowdsourcing controls formacro-tasks, this chapter has several objectives. First, it presents and discusses the literature on control theory. Second, this chapter presents a scoping literature review of crowdsourcing controls. Finally, the chapter identifies gaps and puts forth a research agenda to address these shortcomings. The research agenda focuses on understanding how to employ the controls needed to perform macro-tasking in crowds and the implications for crowdsourcing system designers. | en_US |
dc.description.sponsorship | National Science Foundation grant CHS-1617820 | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Springer Nature | en_US |
dc.subject | Crowdsourcing | en_US |
dc.subject | controls | en_US |
dc.subject | Crowdsourcing controls | en_US |
dc.subject | micro-tasks | en_US |
dc.subject | Macro-tasks | en_US |
dc.subject | crowds | en_US |
dc.subject | crowdsourcing systems | en_US |
dc.subject | online labor | en_US |
dc.subject | Digital platforms | en_US |
dc.subject | CrowdFlower | en_US |
dc.subject | Mechanical Turk | en_US |
dc.subject | Crowdcrafting | en_US |
dc.subject | MobileWorks | en_US |
dc.subject | Control Theory | en_US |
dc.subject | Organizational Controls | en_US |
dc.subject | Control Systems | en_US |
dc.subject | Clan control | en_US |
dc.subject | organizational rules | en_US |
dc.subject | Market control systems | en_US |
dc.subject | informal control | en_US |
dc.subject | formal control | en_US |
dc.subject | Bureaucratic control systems | en_US |
dc.subject | monitoring | en_US |
dc.subject | Formality of Controls | en_US |
dc.subject | Behavior controls | en_US |
dc.subject | Input controls | en_US |
dc.subject | Output controls | en_US |
dc.subject | Control Source | en_US |
dc.subject | Control Unit of Analysis | en_US |
dc.subject | Crowdsourcing Literature Review | en_US |
dc.subject | Sub-crowds | en_US |
dc.subject | Platform Controls | en_US |
dc.subject | DE-CoRe Control Framework | en_US |
dc.subject | Artificial Intelligence Control Systems | en_US |
dc.subject | Meta-control Theory | en_US |
dc.subject | crowd norms | en_US |
dc.subject | crowd values | en_US |
dc.subject | GitHub | en_US |
dc.title | Crowdsourcing Controls: A Review and Research Agenda for Crowdsourcing Controls Used for Macro-tasks | en_US |
dc.type | Book Chapter | en_US |
dc.subject.hlbsecondlevel | Information and Library Science | |
dc.subject.hlbtoplevel | Social Sciences | |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Information, School of | en_US |
dc.contributor.affiliationum | Robotics Institute | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | https://deepblue.lib.umich.edu/bitstream/2027.42/150493/1/Robert 2019 Preprint Chapter 3.pdf | |
dc.identifier.source | Macrotask Crowdsourcing: Engaging the Crowds to Address Complex Problems | en_US |
dc.identifier.orcid | 0000-0002-1410-2601 | en_US |
dc.description.filedescription | Description of Robert 2019 Preprint Chapter 3.pdf : PrePrint Version | |
dc.identifier.name-orcid | Robert, Lionel P.; 0000-0002-1410-2601 | en_US |
dc.owningcollname | Information, School of (SI) |
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