This multi-disciplinary case study details how a public web application combines information and game design to visualize effects of user-defined policies intended to reduce plastic waste. Contextualizing this open source software within a broader lineage of digital media research, this user experience exploration outlines potential directions for facilitating conversation between artificial intelligence, scientists, and decision makers during an iterative policy building process. Furthermore, this system dissection reveals how this interactive science effort considers the practicalities of a treaty's shifting priorities and proposals in its designs. Specifically, this historically situated investigation of the tool's approach highlights options for centering human decision making where artificial intelligence helps reason about interventions but does not prescribe them. Finally, analysis summarizes this application's specific game design-inspired mechanics and their efforts to: enable users' agency to explore solution possibilities freely, invite deep engagement with scientific findings, and simultaneously serve multiple audiences with divergent objectives and expertise.

翻译：这项跨学科案例研究详细阐述了一款公共网络应用如何结合信息与游戏设计，直观呈现用户定义的旨在减少塑料垃圾的政策效果。通过将该开源软件置于数字媒体研究的更广泛脉络中，本用户体验探索勾勒出在迭代政策制定过程中促进人工智能、科学家与决策者之间对话的潜在方向。此外，该系统剖析揭示出这一交互式科学努力如何在其设计中考虑条约重点与提案变动的现实性。具体而言，这项对该工具方法的历史性情境调查强调了将人类决策置于核心的选项——人工智能辅助推理干预措施但并非规定它们。最后，分析总结了该应用受游戏设计启发的具体机制及其努力方向：赋予用户自由探索解决方案空间的能力，引发对科学发现的深入思考，同时服务于具备不同目标与专业能力的多重受众。