Study Examines Whether AI Personas Can Recreate Collective Concert Experience in Virtual Settings
Researchers built a multi-agent system of ten LLM-based audience agents that generate live chat during K-pop performance videos, testing whether persona conditioning could recreate collective concert experiences. In a small within-subjects pilot study with 11 K-pop fans, persona-assigned agents produced noticeably more natural chat than a no-persona baseline, but failed to improve participants' sense of social connectedness, engagement, or emotional response. The findings suggest that culturally meaningful collective experiences may require more than surface-level persona realism, pointing to fundamental limits of AI-simulated audiences.
A team of researchers developed a multi-agent LLM system designed to simulate a live concert audience by generating real-time fan chat alongside recorded K-pop performance videos. The system compared two conditions: one in which each of ten agents was assigned a distinct fan identity, artist bias, and chat style (persona-conditioned), and a baseline with no persona assignment. In a within-subjects pilot study involving 11 K-pop fans, persona conditioning substantially improved the perceived naturalness and model-level chat quality of the agents' messages. However, these improvements did not translate into measurable differences in social connectedness, audience engagement, or affective response among participants. Post-study interviews revealed that online K-pop concert chat may function more as a 'collective monologue' than genuine interpersonal dialogue, with meaningful participation hinging on shared identification with a specific artist and fandom community. The authors conclude that while persona conditioning can make AI audiences appear more authentic, deeper alignment between agent personas, crowd behavior norms, fandom identity, and user expectations is likely necessary to replicate culturally significant collective experiences. The paper was accepted at the ICML 2026 Workshop on Culture x AI.
What's missing
The study's own notable limitations include a very small sample size (N=11) and restriction to a single cultural context (K-pop fandom). It is unclear which LLM(s) powered the agents, what specific K-pop content was used, or how 'social connectedness' and 'engagement' were operationalized and measured.
What different sources said
- arXiv cs.AICenter
Does Persona Make LLMs K-pop Fans? A Pilot Study of LLM-Based Online Concert Audience Agents
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