Artificial intelligence (AI) has evolved from computational to perceptual intelligence, initiating an era of simulated human-robot empathy. However, AI is still viewed as mechanical and lacking empathy. Hence, emotional theories in AI need breakthroughs. Based on the computers as social actors theory, this study explores how artificial empathy boosts human-robot interaction (HRI) satisfaction. It focuses on chain mediation via intimacy and social bonding, and speciesism’s moderating role. Using three online medical consultation scenarios (physical/urticaria allergies and mental stress) and ChatGPT-4o mini data, the results reveal that high artificial empathy improves HRI satisfaction through the combined effects of three dimensions: perspective-taking, empathic concern, and emotional contagion. Therefore, emotional algorithms improve service satisfaction through synchronized affect, personalized intimacy, and strengthened social bonding. Finally, the findings also provide practical guidance for enterprises deploying empathetic robots to elevate HRI quality.
扫码关注我们
求助内容:
应助结果提醒方式:
