Aiming at reducing the discrepancy between product design and market will,the screening value of online co mments on products and the data processin g modes were investigated,and the method of participatory interaction based on user classification was proposed.The validity of users' online co mments were analyzed according to the data objects,then the critical product attributes for users'requirement ex-pression were selected.The users' professionalism was calculated and classified based on the critical product attributes and the online co mments.The feedback mechanisms of online interaction were established according to the different users' professionalism.Motivate users to propose improvement reco mmendations combined with their experiences and transforming into feasible design solutions.The proposed method was tested by utilizing sport utility vehicle as an example.The results indicate that this method can classify users with different professionalism and decompose requirements of complex design objectives,hence the user engagement and market specificity of product design were improved.%针对有时传统产品设计难满足市场意愿的问题,对产品在线评论的价值及筛选进行了研究,对数据内容的处理进行了归纳和创新,提出了一种基于用户分类的参与式交互方法.依照数据目标对用户的在线产品评论进行了有效性判断,选择并提取出了表达用户需求的产品关键设计属性;基于关键属性和在线评论内容挖掘定量计算用户的专业程度并将用户分类;针对不同专业类别的用户对应建立了交互反馈机制,激励用户结合产品体验提出了改进建议并转化成可行的设计方案;以目前关注度最高的家用车型为例对该方法进行了测试.研究结果表明:该方法能对不同专业程度的用户进行分类,对复杂设计目标进行需求分解,提高了产品设计的用户参与度和市场针对性.
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