Research On User Behavior Of Intelligent Driving For The Whole Process Of Product Usage

With the rapid development of artificial intelligence and automatic technology,it drives the development of intelligent vehicle industry.The application of automatic features in intelligent vehicles make the driving process happier,safer and more efficient.At present,the strategies of intelligent vehicle enterprises all show the trend of "user-centered".This study focuses on the user behavior in the whole process of using intelligent vehicles.Specifically,with "user" as the core,this study follows the logic of behavior “formationadaptation-deepening-transformation",users’ usage behavior(usage intention),adaptation behavior(function screening),deepening behavior(brand loyalty)and transformation behavior(online sharing)were investigated in turn.In view of this,we propose the following four aspects:Firstly,in the formation stage of user behavior,based on the theory of psychological empowerment and combined with the charateristics of intelligent vehicles,this study explores the influence mechanism of intelligence on users’ usage intention.A research model was constructed and tested by obtaining user data through online survey.Our analysis results show that the intelligence promotes users’ intention from two dimensions—sensing and acting.Compared with emotional empowerment and behavioral empowerment,cognitive is the most critical factor affecting users’ intention.Secondly,in the stage of user behavior adaptation,this study divided the automatic features of intelligent vehicles into three categories: attention management feature sets(AMFs),intelligent interaction feature sets(SIFs)and vehicle control feature sets(VCFs)for the first time through Delphi method.According to the final classification results,a scale of the automatic features of intelligent vehicles was written.Subsequently,based on the theoretical model proposed in Study I,we examined the differences in user willingness to use different feature sets.The results show that users prefer attention management(AMFs)and intelligent interaction(SIFs)compared with vehicle control(VCFs).Attention management feature(AMFs)is the most important.Thirdly,in the deepening stage of user behavior,LDA topic model and grounded theory research are used to analyze and summarize the connotation and dimensions of user experience,and a multi-level theoretical model of user intelligent driving experience is formed.Subsequently,the BERT model is trained to predict the text to verify the above classification results of user experience.Based on this,a measurement scale of user experience was developed,and an empirical research model was constructed and tested to analyze the effect of user experience on brand relationship.The results show that the influence of cognitive experience on brand relationship quality is more significant.Social experience has no significant effect on brand relationship quality.Finally,in the transformation stage of user behavior,this study starts from user sharing behavior,combines emotional intensity and brand category,and constructs a research model of user sharing behavior.To test the validity of the model,this study crawled and analyzed28618 product reviews shared by users.The results show that hedonic sharing can promote users’ engagement behavior.Emotional intensity promotes the positive effects of hedonic sharing.In addition to functional sharing,the impact effects of emerging brands were more significant than those of traditional brands.