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Crowdsourcing systems are being widely used to overcome several challenges that require human intervention. While there is an increase in the adoption of the crowdsourcing paradigm as a solution, there are no established guidelines or tangible recommendations for task design with respect to key parameters such as task length, monetary incentive and time required for task completion. In this paper, we propose the tuning of these parameters based on our findings from extensive experiments and analysis of ‘categorization’ tasks. We delve into the behavior of workers that consume categorization tasks to determine measures that can make task design more effective.
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Для дошкольников
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дж зимой нг
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Nadezhda Ezhova
Shaun Costello, Southern Cancer Network - HiNZ 2015 Conference, Christchurch.
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Health Informatics New Zealand
AL Cover Letter
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Ashlie Leslie
Crowdsourcing systems are being widely used to overcome several challenges that require human intervention. While there is an increase in the adoption of the crowdsourcing paradigm as a solution, there are no established guidelines or tangible recommendations for task design with respect to key parameters such as task length, monetary incentive and time required for task completion. In this paper, we propose the tuning of these parameters based on our findings from extensive experiments and analysis of ‘categorization’ tasks. We delve into the behavior of workers that consume categorization tasks to determine measures that can make task design more effective.
Breaking Bad - Understanding the Behavior of Crowd Workers in Categorization ...
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Ujwal Gadiraju
Letter of recommendation - AllJobs
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HRMS Consultant_Ali Osman_15_05-2016
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With the advent and growing use of crowdsourcing labor markets for a variety of applications, optimizing the quality of results produced is of prime importance. The quality of the results produced is typically a function of the performance of crowd workers. In this paper, we investigate the notion of treating crowd workers as ‘learners’ in a novel learning environment. This learning context is characterized by a short-lived learning phase and immediate application of learned concepts. We draw motivation from the desire of crowd workers to perform well in order to maintain a good reputation, while attaining monetary rewards successfully. Thus, we delve into training workers in specific microtasks of different types. We exploit (i) implicit training, where workers are provided training when they provide erraneous responses to questions with priorly known answers, and (ii) explicit training, where workers are required to go through a training phase before they attempt to work on the task itself. We evaluated our approach in 4 different types of microtasks with a total of 1200 workers, who were subjected to either one of the proposed training strategies or baseline case of no training. The results show that workers who undergo training depict an improvement in performance upto 5 %, and a reduction in the task completion time upto 41 %. Additionally, crowd training led to the elimination of malicious workers and a costs-benefit gain upto nearly 15%.
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Beatriz Diniz aponta como a Encíclica do Meio Ambiente alicerça os caminhos para nossa salvação, literalmente. O apelo moral para darmos valor à vida, comungado pelo Papa Francisco e por Ban Ki-moon, bate de frente com o modelo econômico insustentável, de crescimento sem limites e exploração à exaustão da natureza e das pessoas. Mas, passamos dos limites, mudamos até o clima, estamos causando a 6a extinção em massa, precisamos parar de destruir tudo que está vivo por aqui e nos mantém vivos. É sério, é urgente, é muito mais importante que qualquer buginganga que os donos do mercado queiram que a sociedade de consumo adore e compre para depois jogar fora. Veja, forme opinião e compartilhe.
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With the advent and growing use of crowdsourcing labor markets for a variety of applications, optimizing the quality of results produced is of prime importance. The quality of the results produced is typically a function of the performance of crowd workers. In this paper, we investigate the notion of treating crowd workers as ‘learners’ in a novel learning environment. This learning context is characterized by a short-lived learning phase and immediate application of learned concepts. We draw motivation from the desire of crowd workers to perform well in order to maintain a good reputation, while attaining monetary rewards successfully. Thus, we delve into training workers in specific microtasks of different types. We exploit (i) implicit training, where workers are provided training when they provide erraneous responses to questions with priorly known answers, and (ii) explicit training, where workers are required to go through a training phase before they attempt to work on the task itself. We evaluated our approach in 4 different types of microtasks with a total of 1200 workers, who were subjected to either one of the proposed training strategies or baseline case of no training. The results show that workers who undergo training depict an improvement in performance upto 5 %, and a reduction in the task completion time upto 41 %. Additionally, crowd training led to the elimination of malicious workers and a costs-benefit gain upto nearly 15%.
Training Workers for Improving Performance in Crowdsourcing Microtasks
Training Workers for Improving Performance in Crowdsourcing Microtasks
Ujwal Gadiraju
Beatriz Diniz aponta como a Encíclica do Meio Ambiente alicerça os caminhos para nossa salvação, literalmente. O apelo moral para darmos valor à vida, comungado pelo Papa Francisco e por Ban Ki-moon, bate de frente com o modelo econômico insustentável, de crescimento sem limites e exploração à exaustão da natureza e das pessoas. Mas, passamos dos limites, mudamos até o clima, estamos causando a 6a extinção em massa, precisamos parar de destruir tudo que está vivo por aqui e nos mantém vivos. É sério, é urgente, é muito mais importante que qualquer buginganga que os donos do mercado queiram que a sociedade de consumo adore e compre para depois jogar fora. Veja, forme opinião e compartilhe.
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