Worker’s Cognitive Abilities and Personality Traits as Predictors of Effective Task Performance on Crowdsourcing Tasks
Vaggelis Mourelatos; Manolis Tzagarakis
The increased popularity of crowdsourcing platforms raises today interesting questions with respect to the better definition, initiation, management and quality of work of crowdsourced tasks. Factors that influence the quality of work in crowdsourced tasks is in particular important as low quality has been reported as a major drawback of this new kind of labor. In this paper we investigate the impact of different cognitive and non-cognitive worker skills on the quality of work they provide in such environments. We conducted an experiment on a popular crowdsourcing site and the obtained results providing evidence that the performance of workers in such environments depends on three basic components namely work effort, character skills and cognitive skills as well as on the GDP per capita of the country of origin.
The paper can be downloaded from the ISCA archive.