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Crowds, not Drones: Modeling Human Factors in Interactive Crowdsourcing
| Content Provider | CiteSeerX |
|---|---|
| Author | Roy, Senjuti Basu Lykourentzou, Ioanna Thirumuruganathan, Saravanan |
| Abstract | In this vision paper, we propose SmartCrowd, an intelligent and adaptive crowdsourcing framework. Contrary to exist-ing crowdsourcing systems, where the process of hiring work-ers (crowd), learning their skills, and evaluating the accu-racy of tasks they perform are fragmented, siloed, and often ad-hoc, SmartCrowd foresees a paradigm shift in that pro-cess, considering unpredictability of human nature, namely human factors. SmartCrowd offers opportunities in making crowdsourcing intelligent through iterative interaction with the workers, and adaptively learning and improving the un-derlying processes. Both existing (majority of which do not require longer engagement from volatile and mostly non-recurrent workers) and next generation crowdsourcing appli-cations (which require longer engagement from the crowd) stand to benefit from SmartCrowd. We outline the opportu-nities in SmartCrowd, and discuss the challenges and direc-tions, that can potentially revolutionize the existing crowd-sourcing landscape. 1. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Interactive Crowdsourcing Modeling Human Factor Vision Paper Iterative Interaction Non-recurrent Worker Un-derlying Process Paradigm Shift Crowdsourcing Intelligent Human Factor Human Nature Crowd-sourcing Landscape Adaptive Crowdsourcing Framework Next Generation |
| Content Type | Text |
