用现场喜剧检验AI幽默，看人机如何即兴互动。
The Theater Stage as Laboratory: Review of Real-Time Comedy LLM Systems for Live Performance
- 以现场喜剧为实验场，测试AI生成笑点的实时表现。
- 揭示人机共演中肢体表现、节奏把控与荒诞幽默的挑战。
- 适合关注人机协作喜剧、AI表演评估的研究者。
本文回顾了学术与艺术领域中计算幽默生成系统的多元发展，聚焦现场表演场景。提出应将AI喜剧置于真实观众前、实时约束下评估，即兴喜剧是理想的测试场景。通过成功融合AI的演出案例，指出现场表演带来三重挑战：1）机器人拟人化与人机竞争问题；2）笑点时机与观众互动机制；3）人类对AI生成荒诞笑点的理解差异。这些挑战影响评估方法设计，需适应真实观众与演出空间限制。同时，揭示了喜剧演员与AI工具间多样化的协作关系。
原文摘要 · Abstract (English)
In this position paper, we review the eclectic recent history of academic and artistic works involving computational systems for humor generation, and focus specifically on live performance. We make the case that AI comedy should be evaluated in live conditions, in front of audiences sharing either physical or online spaces, and under real-time constraints. We further suggest that improvised comedy is therefore the perfect substrate for deploying and assessing computational humor systems. Using examples of successful AI-infused shows, we demonstrate that live performance raises three sets of challenges for computational humor generation: 1) questions around robotic embodiment, anthropomorphism and competition between humans and machines, 2) questions around comedic timing and the nature of audience interaction, and 3) questions about the human interpretation of seemingly absurd AI-generated humor. We argue that these questions impact the choice of methodologies for evaluating computational humor, as any such method needs to work around the constraints of live audiences and performance spaces. These interrogations also highlight different types of collaborative relationship of human comedians towards AI tools.
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