Design and Evaluation of Farm Farce: AI-Driven Improvisational Comedy in Farming Simulation Games

Contemporary farming simulations face significant limitations in dynamic humor generation, relying predominantly on static comic scripts that lack personalization and contextual awareness. While procedural content generation has advanced terrain and narrative creation, its application to humor remains underdeveloped-existing systems deploy isolated visual gags without integrating player actions, environmental states, or cultural preferences. Farm Farce addresses this gap through an innovative three-layer AI architecture designed to serve as an improvisational comedy director. The system combines a repository of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{2 0 0 +}$</tex> humor templates with real-time context sensors and player feedback-driven reinforcement learning, enabling layered absurdity generation such as crops unionizing during harvests or tools developing rebellious personalities in response to player behavior. Experimental validation with 120 players demonstrated clear advantages over alternatives. Participants rated the AI-generated humor at 4.3/5-significantly higher than context-aware systems (3.4/5) and random events (2.1/5). The solution reduced gameplay disruption complaints by 30 % through cultural adaptation, with Asian players showing preference for wordplay-driven events while European users favored anthropomorphic scenarios. Longterm engagement increased substantially, with players exceeding 20 hours of gameplay reporting 58 % higher appreciation for personalized humor. Technically, the architecture maintains 60 FPS performance with 200+ concurrent agents on consumergrade hardware while reducing content production costs by 73% compared to manually scripted alternatives. This research establishes a new paradigm for contextually grounded procedural humor. By resolving critical gaps in crossdomain triggering and cultural intelligence while demonstrating quantifiable improvements in player engagement, Farm Farce transitions game comedy from predetermined routines to dynamic co-creation. The framework's scalability suggests immediate applicability beyond farming simulators to RPGs and life simulations, with future explorations targeting multimodal humor generation through audio and augmented reality interfaces.

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Published
2025-08-19
DOI
https://doi.org/10.1109/cog64752.2025.11114191
Primary Topic
Environmental Philosophy and Ethics
Type
article
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article

Design and Evaluation of Farm Farce: AI-Driven Improvisational Comedy in Farming Simulation Games

Xiangning Kang, Yue Yun, Yulin Dong
Environmental Philosophy and Ethics
article

Design and Evaluation of Farm Farce: AI-Driven Improvisational Comedy in Farming Simulation Games

Xiangning Kang, Yue Yun, Yulin Dong
article en

Abstract

Contemporary farming simulations face significant limitations in dynamic humor generation, relying predominantly on static comic scripts that lack personalization and contextual awareness. While procedural content generation has advanced terrain and narrative creation, its application to humor remains underdeveloped-existing systems deploy isolated visual gags without integrating player actions, environmental states, or cultural preferences. Farm Farce addresses this gap through an innovative three-layer AI architecture designed to serve as an improvisational comedy director. The system combines a repository of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{2 0 0 +}$</tex> humor templates with real-time context sensors and player feedback-driven reinforcement learning, enabling layered absurdity generation such as crops unionizing during harvests or tools developing rebellious personalities in response to player behavior. Experimental validation with 120 players demonstrated clear advantages over alternatives. Participants rated the AI-generated humor at 4.3/5-significantly higher than context-aware systems (3.4/5) and random events (2.1/5). The solution reduced gameplay disruption complaints by 30 % through cultural adaptation, with Asian players showing preference for wordplay-driven events while European users favored anthropomorphic scenarios. Longterm engagement increased substantially, with players exceeding 20 hours of gameplay reporting 58 % higher appreciation for personalized humor. Technically, the architecture maintains 60 FPS performance with 200+ concurrent agents on consumergrade hardware while reducing content production costs by 73% compared to manually scripted alternatives. This research establishes a new paradigm for contextually grounded procedural humor. By resolving critical gaps in crossdomain triggering and cultural intelligence while demonstrating quantifiable improvements in player engagement, Farm Farce transitions game comedy from predetermined routines to dynamic co-creation. The framework's scalability suggests immediate applicability beyond farming simulators to RPGs and life simulations, with future explorations targeting multimodal humor generation through audio and augmented reality interfaces.

Peking University (CN), University Town of Shenzhen (CN), Tsinghua–Berkeley Shenzhen Institute (CN)
Openalex Percentile: Top 79%
Environmental Philosophy and Ethics
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