The Research Of B2C E-commerce Shopping Guide Chat Bot Experience Design Based On Cognitive Psychology

With the development of artificial intelligence,various enterprises in the field of ecommerce have pioneered the exploration of multi-scenario applications of chat robots.Artificial intelligence and big data technology make it possible for smart shopping guides within e-commerce platforms.Enterprises such as Alibaba have started to explore the commercial application of shopping guides using chat robots,but the user experience needs to be improved.At present,for the new interface and interaction method of chat robots,the academic world lacks a systematic design theory,and the experience of design practitioners is also very scattered and lacks pertinence.This article finds opportunities and uses this as a starting point,and selects shopping guide chat robots for B2 C e-commerce mobile platforms as the research object.It is intended to deeply study the experience design methods and principles of shopping guide chat robots,and hope to provide theoretical guidance for designers.First of all,this article makes a clear definition of B2 C e-commerce shopping guide chat robot,which is the research object of this topic,from three aspects: e-commerce platform type,chat robot type and application scenarios.On the basis of the relevant theoretical research on cognitive psychology,this article expounds the significance of research on the experience design of B2 C e-commerce shopping guide chat robot based on cognitive psychology research,and proposed some cognitive problems in the chatbot with shopping guide function on the existing B2 C e-commerce platform.Next,by analyzing the user's cognitive characteristics,online shopping cognitive factors and cognitive evaluation source,this article proposes that users have four-dimensional experience requirements for B2 C e-commerce shopping guide chat robots: aesthetic,interaction,function and emotion.Then,based on the existing analysis and research,this topic uses questionnaire surveys and in-depth interviews to carry out quantitative and qualitative research on users in order to obtain users' more specific experience needs of B2 C e-commerce shopping guide chat robots.Finally,based on the analysis of user's cognitive characteristics and the research results of experience requirements,combined with the existing user experience design methods and principles,this paper proposes a four-dimensional design strategy of B2 C e-commerce shopping guide chat robot in aesthetic experience,interactive experience,functional experience,and emotional experience.The B2 C e-commerce shopping guide chat robot experience design strategy constructed in this topic can effectively guide the design practice,help solve the existing cognitive problems of the shopping guide chat robot design,improve the user experience in all aspects,and increase consumer acceptance of the shopping guide chat robot.It also helps the e-commerce platform to achieve the goals of brand differentiation and increase conversion rate.In addition,the cognitive-oriented research ideas and strategy output in this topic will enrich the design theory research of shopping guide chat robots,and also have certain reference significance for the design research of other types of chat robots.