Data-driven innovation to capture user-experience product design: An empirical study for notebook visual aesthetics design
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- 作者：Chen-Fu Chiena ; cfchien@mx.nthu.edu.tw" class="auth_mail" title="E-mail the corresponding author ; Rhoann Kerha ; Kuo-Yi Linb ; Annie Pei-I Yuc
- 关键词：User experience ; Data-driven innovation ; Visual aesthetics design ; Rough set theory ; Notebook ; Data mining
- 刊名：Computers & Industrial Engineering
- 出版年：2016
- 出版时间：September 2016
- 年：2016
- 卷：99
- 期：Complete
- 页码：162-173
- 全文大小：409 K
文摘
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A framework of data-driven product design is developed to capture user-experience effectively.
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An empirical study was conducted to derive useful rules for notebook visual aesthetics design.
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Specific rules are employed to support product design and validated the proposed approach in real settings.