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- W756539649 abstract "Workers’ behaviors are heavily influenced by factors such as provided reward and the amount and structure of the work. In this thesis, I study the problem of task design, which is important because efficient designs can induce workers to adopt behaviors that are desirable to employers. I present a framework for adopting a quantitative approach to design image labeling tasks on Amazon Mechanical Turk, an online marketplace for labor. With the idea of learning from observations and the use of machine learning techniques, I first train workers’ behavior models and use these models to find solutions to the design problems for different goals. The experimental results show support for the importance of design in this domain and the validity of the trained models for predicting the quality and quantity of submitted work." @default.
- W756539649 created "2016-06-24" @default.
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- W756539649 date "2010-01-01" @default.
- W756539649 modified "2023-09-26" @default.
- W756539649 title "Automatic Task Design on Amazon Mechanical Turk" @default.
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