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Detecting low-quality crowdtesting workers
2015 IEEE 23rd International Symposium on Quality of Service (IWQoS)
QoE crowdtesting is increasingly popular among researchers to conduct subjective assessments of different services. Experimenters can easily access to a huge pool of human subjects through crowdsourcing platforms. A fundamental problem threatening the integrity of crowdtesting is to detect cheating from the workers who work without any supervision. One of the approaches in classifying the quality of workers is analyzing their behavior during the experiments. A major challenge is todoi:10.1109/iwqos.2015.7404734 dblp:conf/iwqos/MokLC15 fatcat:6odnxyti6re7hntbmrwpendz7y