数字瓶中的信息：关于LLM聊天机器人与青少年孤独的青少年视角
Messages in a Digital Bottle: A Youth-Coauthored Perspective on LLM Chatbots and Adolescent Loneliness
AI总结：
本文从青少年视角探讨LLM聊天机器人对不同亚群体孤独感的影响，提出三个敏感性设计建议，未来将通过多群体面板验证框架。
摘要：
青少年孤独感在数字社交环境中日益成为关注焦点。本文是一项正在进行中的工作，由一位16岁的中国学生（现居英国）主导，结合其生活经验撰写初稿，并由第二作者指导。我们不将青少年视角视为众多数据点之一，而是作为主要解释视角，基于社会计算、发展心理学和人机交互（HCI）的跨学科文献。研究探讨了聊天机器人如何在不同青少年亚群体中塑造孤独感体验，包括有焦虑或抑郁、神经多样性青少年和移民青少年，识别了聊天机器人可能暂时减少孤立的条件以及可能加深孤独感的破裂点。我们得出三个敏感性设计建议。下一步工作将扩展青少年作者模型，通过跨亚群体的青少年面板实证验证本文提出的框架。
英文摘要：
Adolescent loneliness is a growing concern in digitally mediated social environments. This work-in-progress presents a youth-authored critical synthesis on chatbots powered by Large Language Model (LLM) and adolescent loneliness. The first author is a 16-year-old Chinese student who recently migrated to the UK. She wrote the first draft of this paper from her lived experience, supervised by the second author. Rather than treating the youth perspective as one data point among many, we foreground it as the primary interpretive lens, grounded in interdisciplinary literature from social computing, developmental psychology, and Human-Computer Interaction (HCI). We examine how chatbots shape experiences of loneliness differently across adolescent subgroups, including those with anxiety or depression, neurodivergent youth, and immigrant adolescents, and identify both conditions under which they may temporarily reduce isolation and breakdowns that risk deepening it. We derive three population-sensitive design implications. The next phase of this work will expand the youth authorship model to a panel of adolescents across these subgroups, empirically validating the framework presented here.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
