与AI伴侣共处：持续的AI陪伴通过减少人际互动预测更低的幸福感
Living with AI Companions: Sustained AI Companionship Predicts Lower Well-Being Through Lower Human Interaction
- University of Michigan（密歇根大学）
- University of Oxford（牛津大学）
- Stanford University（斯坦福大学）
- Carnegie Mellon University（卡内基梅隆大学）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
本研究通过纵向调查发现，与AI伴侣的持续社交参与会减少现实人际互动，从而预测更低的幸福感，强调AI伴侣设计应支持而非替代人类社交关系。
AI中文摘要：
AI聊天机器人越来越多地被用于陪伴、情感支持和个人自我表露；然而，用户与这些系统的社交互动如何随时间演变并影响其幸福感，仍不清楚。为解决这一问题，我们对CharacterAI用户开展了一项两波纵向研究，在基线时调查了1182名参与者，并在平均12个月的随访后调查了439名参与者。我们考察了与AI伴侣的社交互动如何演变，以及这些纵向互动模式如何通过两条假设路径影响幸福感：随时间推移的持续社交参与，以及人际社交互动的替代。我们发现，互动强度、陪伴使用和自我表露均表现出显著的跨时间连续性。基线时更高的互动强度预测了后续更高的互动强度、陪伴使用和自我表露。与纵向参与路径一致，这些维度上的持续社交参与始终与更低的幸福感相关。结果进一步支持社交替代路径，表明这些关联主要由较低的现实人际互动所解释。这些发现凸显了设计AI伴侣时支持而非替代人类社交关系的重要性。
英文摘要：
AI chatbots are increasingly used for companionship, emotional support, and personal self-disclosure; however, how social engagement with these systems unfolds over time and shapes users' well-being remains unclear. To address this, we conducted a two-wave longitudinal study of CharacterAI users, surveying 1,182 participants at baseline and 439 after a mean follow-up of 12 months. We examined how social engagement with AI companions evolves and how these longitudinal engagement patterns may influence well-being through two hypothesized pathways: sustained social engagement over time and the displacement of human social interaction. We found that interaction intensity, companionship use, and self-disclosure all showed substantial continuity over time. Greater interaction intensity at baseline predicted greater subsequent interaction intensity, companionship use, and self-disclosure. Consistent with the longitudinal engagement pathway, sustained social engagement across these dimensions was consistently associated with lower well-being. Results further support the social displacement pathway, indicating that these links were mainly explained by lower in-person social interaction. These findings highlight the importance of designing AI companions that support human social relationships without displacing them
