A sociological study of the impact of artificial intelligence on the social interaction patterns of Generation Z in Isfahan.

Document Type : Research Paper

Authors

1 Department of Sociology, Faculty of Literature and Humanities, Islamic Azad University, Dehaqan Branch, Iran

2 Department of Sociology, Faculty of Literature and Humanities, Islamic Azad University, Dehaqan Branch

3 Assistant Professor, Computer Department, Dehaqan Branch, Islamic Azad University, Dehaqan, Iran.

Abstract

As the primary mechanism linking individuals to society, social interactions play a fundamental role in giving meaning to human actions. This study aims to examine the impact of AI on the patterns of social interactions among Generation Z in the city of Isfahan. Methodologically, this research is a survey study; temporally, it is cross-sectional; in terms of purpose, it is applied; and in scope, it adopts a descriptive-analytical approach. In 2025, the statistical population consisted of 451,038 Generation Z residents of Isfahan in 2025, from whom a sample of 340 individuals was selected using quota sampling proportional to the population size. Data were collected through a questionnaire, whose content validity was assessed at an acceptable level, and whose reliability was evaluated using Cronbach’s alpha coefficient. The findings indicate that the mean score of interactive action (61.76) is lower than the theoretical expected value, reflecting a relative weakness in the quality and cohesion of social interactions among Generation Z. In contrast, the mean score of social roles (55.13) is above the theoretical level, indicating adequate awareness and performance of social roles. Additionally, the mean score of the AI variable (93.76) was below the theoretical threshold. The results of SEM further reveal that AI explains 38% and 41% of the variance in interactive action and social roles, respectively.

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Articles in Press, Accepted Manuscript
Available Online from 27 April 2026
  • Receive Date: 22 December 2025
  • Revise Date: 14 April 2026
  • Accept Date: 27 April 2026
  • Publish Date: 27 April 2026