Effect of Trust in AI on Human AI Relationship among University Students

Abstract

The study aimed to examine the effect of trust in AI on Human-AI relationship among university students. A cross-sectional survey research design was used. The sample comprised 300 university students (150 males and 150 females) selected through convenient sampling technique. Measures included the General Attitude toward AI Scale (GAAIS) by Schepman and Rodway (32 items, Positive α = .84, Negative α = .73), Short Trust in Automation Scale (S-TIAS) by McGrath et al. (3 items, α = .88), and Experiences in Human-AI Relationships Scale (EHARS) by Yang and Oshio (7 items). Correlation analysis showed that trust in AI was positively correlated with Human-AI relationship. The study contributed to the growing literature on Human-AI relationships by highlighting the role of trust in AI in Human-AI interactions among university students. The findings have important implications for AI literacy, technology acceptance, and the development of educational interventions aimed at fostering healthy and effective Human-AI relationships.