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    Design Heuristics in Innovative Products 

    Source: Journal of Mechanical Design:;2016:;volume( 138 ):;issue: 007:;page 71102
    Author(s): Yilmaz, Seda; Seifert, Colleen; Daly, Shanna R.; Gonzalez, Richard
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Current design theory lacks a systematic method to identify what designers know that helps them to create innovative products. In the early stages of idea generation, designers may find novel ideas come readily to mind, ...
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    Comparing Ideation Techniques for Beginning Designers 

    Source: Journal of Mechanical Design:;2016:;volume( 138 ):;issue: 010:;page 101108
    Author(s): Daly, Shanna R.; Seifert, Colleen M.; Yilmaz, Seda; Gonzalez, Richard
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Concept generation techniques can help to support designers in generating multiple ideas during design tasks. However, differences in the ways these techniques guide idea generation are not well understood. This study ...
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    When Crowdsourcing Fails: A Study of Expertise on Crowdsourced Design Evaluation 

    Source: Journal of Mechanical Design:;2015:;volume( 137 ):;issue: 003:;page 31101
    Author(s): Burnap, Alex; Ren, Yi; Gerth, Richard; Papazoglou, Giannis; Gonzalez, Richard; Papalambros, Panos Y.
    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 ...
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    Improving Design Preference Prediction Accuracy Using Feature Learning 

    Source: Journal of Mechanical Design:;2016:;volume( 138 ):;issue: 007:;page 71404
    Author(s): Burnap, Alex; Pan, Yanxin; Liu, Ye; Ren, Yi; Lee, Honglak; Gonzalez, Richard; Papalambros, Panos Y.
    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 ...
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