The application maturity and popularization of AI technology has produced significant socialization characteristics for individuals. Analysis the influence of AI technology on individuals from the perspective of social psychology shows the participation, interaction and dependence of individuals. Motivational interaction is the soul of AI technology-driven psychology. Individuals form an interaction for the application and transmission of AI technology, and produce psychological interaction. This interaction behavior is also the research perspective of social psychology. Therefore, this study has three starting points from the perspective of social psychology on AI technology on individual motivation, self-cognitive motivation and social cognition needs. Based on the cognitive theory of social psychology and from the perspective of human behavior, the influence of AI technology breakthrough technology innovation behavior on individual behavior, cognition and demand is analyzed from the perspective of people. Establish a theoretical framework for the impact of AI technology breakthrough and innovation on individual behavior. Research hypotheses on the impact of AI technology on individual behavior by questionnaires and empirical analysis. The results show that the emotion driven by AI technology is positively correlated; the basis of individual knowledge level positively affects the level of cognitive combination on the AI; and the middle level of cognitive motivation and big data ability has the behavioral relationship that promotes innovation. Through research, it can reveal how AI technology affects individual innovation behavior, and it is of great significance to clarify the cognition, motivation and behavior factors of AI technology from the perspective of social psychology, so as to promote individual development.

Zhenlei Lyu, Xiao Wang. The Impact of Artificial Intelligence Technology on Individual Behavior from the Perspective of Social Psychology. International Journal of Frontiers in Sociology (2023), Vol. 5, Issue 15: 13-18. https://doi.org/10.25236/IJFS.2023.051503.

[1] Duan W W. Ethical calibration for the intelligent analytical society [J]. Journal of Shanghai Jiao Tong University (Philosophy and Social Sciences Edition), 2020, 28 (04): 27-33.

[2] Yang L. AI changes in cognitive, thinking and behavior ways [J]. Exploration and contention, 2017, (10): 16-18.

[3] Chen F G, Du Y Y. Insured person behavioral intervention based on big data and artificial intelligence [J]. Times Finance, 2016, (29): 230.

[4] Bu D, Liu J D, Zhang C, Si G, Chung PK.Mindfulness training improves relaxation and attention in elite shooting athletes A single-case study [J].International Journal of Sport Psychology, 2019, 50(1):4-25.

[5] Mohsen A. The relationship of focus attention to the performance of high jump events in the Fosbury way [J].International Journal of Psychosocial Rehabilitation, 2020, 24(9):5326-5334.

[6] Amrani K, Gallucci A, Magnusen M. Data-Based Interval Hitting Program for a Collegiate Tennis Player: A Case Report [J].International Journal of Athletic Therapy & Training, 2019, 24(1):15-18.

[7] Wang S. Online Learning Behavior Analysis Based on Image Emotion Recognition[J].Traitement du Signal, 2021, 38(3):865-873.

[8] Hartwell M J, Fong S M, Colvin A C. Withdrawals and Retirements in Professional Tennis Players: An Analysis of 2013 United States Tennis Association Pro Circuit Tournaments[J].Sports Health, 2017, 9(2):154-161.

[9] Skorodumova A, Baranov I, Tarpischeva A, Semenova S, Tarpishchev F.Competitive activity of elite female tennis players on courts with different cover types[J].SCIENCE AND SPORT current trends, 2019, 7(4):66-70.