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With the development of network informatization, users can obtain a large amount of information in the process of human-computer interaction to provide a basis for self-determination. At the same time, the huge amount of information has also caused users to produce fatigue and negative usage behavior to a certain extent. The study collected 452 valid questionnaires through the questionnaire survey method, and the results showed that users’ perception of information overload and function overload positively affect information avoidance behavior from the perspective of human-computer interaction, while social overload has no significant impact on information avoidance behavior. The research conclusions help to further understand the impact of user perception overload on user information avoidance behavior, and provide enlightenment for information dissemination and function setting in human-computer interaction.

With the increase in the number of “head-down people”, the phenomenon of mobile phone addiction has attracted much attention, especially for college students. Through empirical analysis, this article surveyed 400 college students, of which 315 valid questionnaires. Under the premise of controlling the individual’s academic self-efficacy, this research explores and proves the mediating role of mobile phone addiction in artificial intelligence recommendation and academic procrastination behavior. Artificial intelligence recommendation positively affects the individual’s academic procrastination behavior, and works by influencing the individual’s mobile phone addiction, that is, mobile phone addiction plays a complete mediating role between the artificial intelligence recommendation and the individual’s academic procrastination behavior.

Consumer emotion is an important reference factor for user decision-making. Researches have shown that consumer emotion is one of the important factors affecting consumer behavior. At the same time, participation behavior as an important behavioral variable is getting more and more attention. Although many controllable factors would trigger consumer emotion, previous studies mainly focused on the external factors such as product attributes, store environment, and the relationship between consumption emotion and satisfaction caused by external factors. In addition, there is some discussions about the relationship between consumer emotion and user engagement behavior. Based on this, this paper has combed the relevant literature on consumer emotion and mobile social network in detail. What's more, this paper also analyzes the impact of consumer emotion (positive emotions, negative emotions) on user engagement behavior. We hope that the conclusions of this study can help enterprises make full use of consumer's consumption emotion and enhance the participation of mobile network users.