数字图书馆论坛2024，Vol.20Issue(6)：44-53,10.DOI:10.3772/j.issn.1673-2286.2024.06.005
基于依存句法分析的智能人机交互产品用户体验研究
User Experience of Intelligent Human-Computer Interaction Products Based on Dependency Parsing
摘要
Abstract
Intelligent human-computer interaction products have attracted much attention due to their natural interaction,and the research on their user experience is particularly important.The existing research on the user experience of this type of products focuses on the analysis of user behavior information,while mining user experience characteristics from online reviews is a relatively new direction.Based on dependency parsing and the product feature thesaurus,this paper extracts product features and the corresponding user emotional opinions from the online reviews through artificially setting extraction rules,and adopts emotional computing to quantify the opinions to obtain user experience characteristics.Taking the intelligent screen products as an example to conduct the research,the results show that the method proposed can solve the problem that the product features and emotional opinions cannot be extracted simultaneously.At the same time,the study finds that users have a relatively high preference for the intelligent voice interaction of the product,but are not satisfied with the intelligent functions.Based on the results,optimization design suggestions are proposed for the intelligent system,appearance,and hardware configuration of the product.关键词
智能人机交互产品/用户体验/依存句法分析/产品特征/情感计算Key words
Intelligent Human-Computer Interaction Product/User Experience/Dependency Parsing/Product Feature/Emotional Computing分类
信息技术与安全科学引用本文复制引用
谢雪梅,王明慧..基于依存句法分析的智能人机交互产品用户体验研究[J].数字图书馆论坛,2024,20(6):44-53,10.基金项目
本研究得到北京邮电大学经济管理学院教学名师培育计划项目"教学名师培育建设"(编号:202306)资助. （编号:202306）
