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When Crowdsourcing Fails: A Study of Expertise on Crowdsourced Design Evaluation
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Crowdsourced evaluation is a promising method of evaluating engineering design attributes that require human input. The challenge is to correctly estimate scores using a massive and diverse crowd, particularly when only a ...
Improving Design Preference Prediction Accuracy Using Feature Learning
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Quantitative preference models are used to predict customer choices among design alternatives by collecting prior purchase data or survey answers. This paper examines how to improve the prediction accuracy of such models ...