In human computation systems, humans and computers work together to solve hard problems. Many of these systems use crowdsourcing marketplaces to recruit workers. However, the task selection process of crowdsourcing workers is still unclear. We therefore outline this process and propose a structural model showing the criteria that workers use to choose tasks. The model is based on the person-job fit theory, which includes the measures demands-abilities fit and needs-supplies fit, in order to explain the work intention. We adapt the needs-supplies fit to the specific requirements of crowdsourcing markets by adding concepts for payment fit, enjoyment fit, and time fit. We further assume that the task presentation can have an effect on work intention. In this research-in-progress paper, we present our measures and experimental design as well as our newly developed method for participants’ recruitment. Our work could have strong implications for organizations using crowdsourcing marketplaces.
Translation of the title:
Aufgaben-Auswahl von Arbeitern auf Crowdsourcing und Human Computation Marktplätzen
(German)
Dieser Eintrag ist Teil der Universitätsbibliographie.
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