Empathetic AI Encounters: Pathways to Prosocial Behavior
通过六项实验发现，与高共情AI的交互能显著提升人们的捐赠意愿、金额和志愿服务意向，其机制是AI的共情行为增强了用户自身的共情状态，进而促进亲社会行为。
The latest advancements in artificial intelligence (AI) not only highlight exceptional intelligence quotient but also emphasize remarkable emotional intelligence or emotional quotient. The current research investigates how interactions with empathetic AI affect individuals’ propensity to engage in prosocial behavior. Across six experiments, including a real-time human-AI interaction study and an incentivized behavioral study, we demonstrate that interactions with high- (vs. low-) empathy AI significantly increase individuals’ inclinations to donate, the amount donated, and their intentions to volunteer. Drawing on observational learning theory, we show that this effect occurs because high-empathy AI enhances perceptions of AI humanness. This heightened humanness facilitates empathetic influence, whereby the AI’s modeled empathic behaviors elevate users’ own empathic states, ultimately promoting greater prosocial action. Furthermore, this positive effect of high-empathy AI is strengthened by AI’s human-identification marks (i.e., human name and icon). The research findings offer theory-based, actionable recommendations for effectively leveraging AI in service encounters to promote prosocial behaviors.