孤獨感是嚴重影響青年身心健康的重要因素。運用生成式人工智慧(AI)聊天機器人提供社會支持與陪伴，可望成為緩解孤獨問題的創新解決方案。本研究基於「刺激-有機體-反應」(SOR)理論框架建構研究模型，探討AI聊天機器人的社會支持對孤獨感的影響機制。研究模型提出：社會支持能顯著提升使用者的陪伴感與社會臨場感，而擬人化程度與社會支持的交互作用會影響陪伴感與社會臨場感；此外，陪伴感和社會臨場感會增強人機和睦關係，進而降低孤獨感。本研究採用2×2受試者間實驗設計，實證分析不同社會支持類型（情感性/資訊性）與擬人化水平（高/低）對青年孤獨感的差異化影響，最終收集140位受試者數據以驗證模型之假說。

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Loneliness is a critical factor that severely affects the physical and mental well-being of young adults. Utilizing generative AI chatbots to provide social support and companionship offers a promising innovative solution to mitigate loneliness. Guided by the Stimulus–Organism–Response (SOR) theoretical framework, this study develops a research model to examine the mechanisms through which social support from AI chatbots influences loneliness. The model proposes that social support significantly enhances users’ sense of companionship and social presence, and that the interaction between anthropomorphism and social support shapes these perceptions. Furthermore, companionship and social presence strengthen human–AI rapport, which in turn reduces loneliness. A 2×2 between-subjects experimental design was employed to empirically analyze the differential impacts of social support type (emotional vs. informational) and anthropomorphism level (high vs. low) on young adults’ loneliness. Data collected from 140 participants were used to validate the proposed hypotheses.

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