人机之恋：人类与AI伴侣的情感联结探究
发布时间：2025-05-20
五月
21
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时间和日期
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2025-05-21 (星期三) 10:30 上午
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12:00 下午
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| 标题: | 人机之恋：人类与AI伴侣的情感联结探究 |
| 日期和时间: |
2025年5月21日（周三） 10:30-12:00 |
| 地点 | 综合教学楼D504会议室 |
| 主讲人: |
石梓君教授 香港科技大学 |
| 摘要: | Recent advancements in artificial intelligence have transformed functional chatbots into sophisticated AI companions capable of providing emotional and relational values. However, despite the widespread adoption of AI companions, the relationship between human users and their AI companions remains largely underexplored. We draw on the seminal Triangular Theory of Love (Sternberg 1986, Psychological Review) and study the three components of love – intimacy, passion, and commitment – between human users and AI companions. We analyze a large-scale real-world dataset: 8,631 human users and 44,683 human-AI interactions over 3 months. For each human-AI pair, we quantify the three love components from the behavioral and conversational data of each party (human, AI). We investigate the three love components’ evolution over time, differences by AI types, and each component’s influence on human-AI relationship trajectories (formation and continuation). Our findings reveal that all the three love components (expressed by both the human user and the AI) intensify with more conversational interactions and are stronger when users bonding with relational (e.g., romantic) versus functional AI companions. Regarding relationship trajectories, higher user intimacy at first interaction predicts ongoing (vs. one-off) relationships with the AI companion. Furthermore, conditional on relationship formation, users tend to continue relationships with AI companions that align with intimacy but offer higher passion and commitment. We discuss how these human-AI love relationships evolve differently from human-human love relationships and its implication on human social well-being. These nuanced human preferences in bonding with AI also offer key insights for designing engaging, adaptive, and responsible AI companions. |
| 主讲人简介: | 石梓君，香港科技大学商学院助理教授。研究兴趣为技术驱动的市场营销，关注新技术（如人工智能）对营销策略、消费者福祉和社会福利的影响和推动；在Marketing Science、JMR、ISR等顶级期刊发表多篇论文；研究荣获PaulE. Green Award，Don Lehmann Award，MSI Young Scholar. |
