Users Satisfaction Analysis Based on KANO-IPA Model——Taking Online Review of Intelligent Personal Assistant Product in Human-computer Interaction as An Example
Online reviews are important channels for users to express their needs,and it can also identify and evaluate the impact of products or services on user satisfaction,and then provide inspiration for enterprises to improve them.This paper proposed the KANO-IPA model,which can comprehensively explore the importance of user satisfaction and product attributes.First,data mining of online reviews was carried out,and topic modeling was conducted by using BERTopic to build attribute-emotion dictionary.Second,product attributes are mapped to the KANO-IPA model,attributes are classified,and users'preferences and priorities for each attribute are de-termined.Finally,taking the intelligent personal assistant product in human-computer interaction as an example to analyze,the priority of the product to the user's needs is analyzed.The research shows that it is of great significance to put forward optimization suggestions according to different user needs for product improvement and promotion.
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