User Experience of Intelligent Human-Computer Interaction Products Based on Dependency Parsing
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.
国家科技期刊平台
NSTL
万方数据
