The interaction between humans and artificial intelligence (AI) is becoming increasingly common. However, whether humans trust AI more or doctors more is still not clear. The purpose of this paper is to investigate whether there are significant differences in patient trust between AI and human doctors? What are the mechanisms and boundary conditions.
Based on social support theory, using experimental methods, this study investigates the trust (competence, goodwill and integrity) differences between AI doctors and human doctors by analyzing 236 online experiment participants’ data.
The results indicate that compared to AI doctors, patients exhibit higher levels of trust in human doctors across all three dimensions. Furthermore, informational support and emotional support mediate the relationship between service agent types (AI vs human) and patient trust. Response length moderates the impact of service agent types on these two forms of social support.
These findings contribute to a deeper understanding of the relationship between human–AI interaction and patient trust by investigating the mediating role of informational support and emotional support, as well as the moderating role of response length. The study also provides practical implications for how to improve patient trust in AI through optimized AI design.
