Fifth International Workshop on Quality of Multimedia Experience (QoMEX 2014), Singapore, 18–20 September 2014
Lucjan Janowski; Margaret H. Pinson
Abstract: We propose a model for rating behavior based on subject bias and subject error. Evidence for subject bias can be found in freely available subjective experiments. When subject bias is removed from ratings, the sensitivity of statistical comparisons between stimuli usually improves. According to our model, subject biases characterize the subject pool. These between-subject differences are important when analyzing and comparing people. On the other hand, it is advantageous to remove subject bias when analyzing mean opinion score. We conclude that bias acts like a random variable within ratings.
Keywords: design of experiments; mean opinion score; video quality assessment; quality of experience (QoE); subjective ratings
For technical information concerning this report, contact:
Margaret H. Pinson
Institute for Telecommunication Sciences
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