Personality Traits and Attitudes Towards Artificial Intelligence Among University Students

Abstract

This study explored the relationship between personality traits and attitudes toward artificial intelligence (AI), as well as the potential predictive effects of demographic factors, including gender, age, education, and prior knowledge of AI. The research was based on the Big Five personality model (using the Ten-Item Personality Inventory scale) and the ATTARI-12 scale to measure AI attitudes. Quantitative correlation research design was followed in the study. Data were collected from 198 participants (using simple random sampling). Correlation analysis was conducted to examine the relationship between personality traits and AI attitudes, and multiple regression analysis was used to assess the predictive effects of demographic variables. The results revealed a significant positive relationship between personality traits and attitudes toward AI, supporting the hypothesis that personality traits influence AI perceptions. However, the predictive effects of gender, age, education, and prior knowledge of AI were not significant. These findings suggest that individual differences, particularly personality traits, play a more critical role in shaping attitudes toward AI than demographic factors. The study contributes to the understanding of AI acceptance and offers implications for designing AI technologies and educational interventions that cater to different personality profiles. Future research should explore additional psychological factors and longitudinal approaches to further understand the dynamics of AI adoption.