用带人设的AI粉丝模拟现场互动，让演唱会视频更热闹。
Does Persona Make LLMs K-pop Fans? A Pilot Study of LLM-Based Online Concert Audience Agents
- 十名AI粉丝各具人设，实时生成风格各异的弹幕。
- 人设组弹幕质量与自然度显著优于无设定组。
- 但观众仍觉孤单，真实共鸣需更深的身份认同。
演唱会是集体体验，但录制视频通常独自观看，缺乏现场观众氛围。我们探究基于人设的LLM观众代理能否通过实时弹幕重现这种共感。构建多智能体系统，十名LLM代理以不同粉丝身份、偏见和聊天风格实时响应K-pop演出。在11名K-pop粉丝的交叉实验中，人设条件显著提升弹幕质量和自然度，但未带来社交联结、参与度或情感反应的差异。访谈显示，线上K-pop弹幕更像集体独白而非对话，真正参与感依赖于对特定艺人和粉丝圈的认同。人设可让AI观众更自然，但实现深层集体体验仍需人设、群体行为、粉丝身份与用户期待的深度对齐。
原文摘要 · Abstract (English)
A concert is a collective experience, but recorded performance videos are typically watched alone, stripping away the shared audience presence that makes concerts feel eventful. We investigate whether persona-based LLM audience agents can recreate aspects of this collective experience by generating real-time fan chat alongside a K-pop performance video. We present a multi-agent system in which ten LLM agents react through live-chat messages, comparing a persona-conditioned audience (each agent assigned a distinct fan identity, bias, and chat style) with a no-persona baseline. In a within-subjects pilot with K-pop fans (N=11), persona conditioning substantially improved model-level chat quality and perceived naturalness, but did not translate into differences in social connectedness, engagement, or affective response. Interviews suggest that online K-pop concert chat may operate as collective monologue rather than interpersonal dialogue, and that meaningful participation depends on shared identification with the specific artist and fandom. Persona conditioning can make LLM audiences appear more natural, but culturally meaningful collective experience may require deeper alignment between persona, crowd behavior, fandom identity, and user expectations.
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