Conference Proceeding Article
By effectively utilizing smartphones to reach out and engage a large population of mobile users, mobile crowdsourcing can become a game-changer for many urban operations, such as last mile logistics and municipal monitoring. To overcome the uncertainties and risks associated with a purely best-effort, opportunistic model of such crowdsourcing, we advocate a more centrally-coordinated approach, that (a) takes into account the predicted movement paths of workers and (b) factors in typical human behavioral responses to various incentives and deadlines. To experimentally tackle these challenges, we design, develop and experiment with a real-world mobile crowd-Tasking platform on an urban campus in Singapore. In this paper, we first introduce TAKer and then demonstrate the effectiveness of different behavioral experiments, such as bundling and differential task pricing methods.
Bundles, Cheating, Collaboration, Context-Aware, Crowdsourcing, Incentives, Mobile, Smart-Campus, Social-Ties
Computer Sciences | Software Engineering
Software and Cyber-Physical Systems
UbiComp '16: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct: Heidelberg, Germany, September 12-16, 2016
City or Country
JAIMAN, Nikita; MISRA, Archan; DARATAN, Randy Tandriansyah; and KANDAPPU, Thivya.
A campus-scale mobile crowd-tasking platform. (2016). UbiComp '16: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct: Heidelberg, Germany, September 12-16, 2016. 297-300. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/3556
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