Mining online reviews with a Kansei-integrated Kano model for innovative product design
提出一个框架，从在线评论中提取客户情感需求，结合卡诺模型对产品特征排序，帮助设计师抓住创新设计灵感，以智能手机为例验证了有效性。
Optimising affective design based on customer needs help to earn competitive advantages. However, affective design has been studied qualitatively and the value of online opinions providing affective design ideas has not been exploited deeply. To fill this gap, a framework is proposed to reveal customer affective needs from a perspective of the Kansei-integrated Kano model. Firstly, inspired by Kansei Engineering, customer affective emotions are extracted contextually from online reviews. Next, related product features are positioned based on syntactic relations and a clustering algorithm. Enlightened by the Kano model, product features are prioritised based on affective emotions to show their importance on customer satisfaction. Finally, experiments with practical data are illustrated to evaluate the effectiveness in innovative product design. Take smartphone for example and camera, material, aesthetic design, safety, service, physical interface, and price are found to be attractive features in this study. Additionally, product reviews are transferred into a structured format by analysing affective emotions and corresponding features. It provides a straightforward perspective on affective needs, which facilitate new product design by including innovative design ideas and the proposed KE-integrated Kano model helps to capture customer affective needs and give inspirable insights for affective design from the viewpoint of companies.