Abstract

Energy Communities (ECs) are confronted by diverse and intricate challenges concerning sustainable development goals and climate change awareness. This demonstration introduces En-join, a speculative game that addresses these complexities by using Large Language Models (LLMs) to engage players in negotiating solutions for such challenges. En-join demonstrates a novel approach by integrating an LLM as a dual-agent, serving simultaneously as a narrative guide and evaluator, to simulate EC dynamics. Players interact with LLM-powered Non-Player Characters (NPCs) to navigate open-ended scenarios, promoting reflection on sustainability and community participatory decisions on their own resources, alongside pro-social behaviors. This work highlights the potential of LLMs as mediators in serious games, fostering engagement and critical thinking on sustainable energy practices.

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