%0 Journal Article
%T 基于在线评论挖掘的智能马桶感性评价设计方法研究
Research on the Design Method of Perceptual Evaluation of Intelligent Toilet Based on Online Review Mining
%A 杨洋
%A 怀宇晨
%A 朱剑刚
%J Design
%P 1219-1231
%@ ****-****
%D 2024
%I Hans Publishing
%R 10.12677/design.2024.96796
%X 在线评论是消费者真实声音的汇集地，从中获取用户感性评价并用于产品的改进设计，对促进智能马桶发展具有重要意义。运用文本挖掘技术和Word2Vec模型，对京东商城10,092条商品评价数据进行感性评价研究。研究发现，智能、结构、价位、功能、品质和外观是用户评价智能马桶的聚焦点。尽管用户对智能马桶的外观设计和结构舒适度给予了高度评价，但智能化功能的实用性和产品的性价比问题仍被用户诟病。基于此，提出企业改进智能马桶的建议，包括持续优化外观和结构设计、精准强化功能和智能水平、实现定价与品质的合理匹配。
The Online reviews are a collection of consumers’ true voices, from which users’ perceptual evaluations can be obtained and used for product improvement design, which is of great significance for promoting the development of smart toilets. Using text mining technology and Word2Vec model, a perceptual evaluation study was conducted on 10,092 product evaluation data from JD Mall. The study found that intelligence, structure, price, function, quality and appearance are the focus points of users’ evaluation of smart toilets. Although users highly evaluate the appearance design and structural comfort of smart toilets, the practicality of intelligent functions and the cost-effectiveness of products are still criticized by users. Based on this, suggestions for enterprises to improve smart toilets are proposed, including continuous optimization of appearance and structural design, precise enhancement of function and intelligence level, and realization of reasonable matching between pricing and quality.
%K 工业设计，
%K 智能马桶，
%K 文本挖掘，
%K Word2Vec，
%K 感性评价
Industrial Design
%K Smart Toile
%K Text Mining
%K Word2Vec
%K Perceptual Evaluation
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=103508