Problem
Research questions and friction points this paper is trying to address.
participatory urban planning
information presentation
language model agents
citizen engagement
Beyond the Townhall: Spatial Anchoring and LLM Agents for Scalable Participatory Urban Planning
🤖 AI Summary
研究通过使用沉浸式技术和LLM代理改善了公众参与城市规划的效果，提升了参与者对项目的记忆和反馈质量。
📝 Abstract
Participatory urban planning is central to sustainable city-making, yet the technically demanding nature of such interventions often limits meaningful involvement by diverse publics. We introduce a scalable digital participation platform that embeds sustainability projects within a navigable digital twin. Citizens experience a guided virtual walkthrough with audio narration employing the method of loci and spatial anchoring to support mnemonic encoding and recall. This immersive interface is augmented by two purpose-built LLM assistants: one delivers source-grounded factual clarifications, while the other facilitates reflective discussion. We evaluated this system in a randomized controlled online experiment (N = 195) against conventional industry practices (static visualizations and text-based consultations). Results show that spatially anchored immersive presentation significantly improved information recall, which substantially shifted participants'attention from individual inconveniences to collective, community-oriented sustainability benefits. Consequently, participants provided significantly more constructive, solution-focused feedback to the (simulated) municipality. These findings establish a practical tool for cities and policymakers to foster inclusive, democratic participation in sustainability transitions.
Innovation
Methods, ideas, or system contributions that make the work stand out.
spatial anchoring
LLM agents
participatory urban planning
immersive multimedia
information baseline
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