שיחות מבוססות AI לתכנון השתתפותי

סקירה קצרה

אב-טיפוס מחקרי זה תומך בתהליכי השתתפות בעיצוב עירוני ואדריכלות באמצעות שיחות מובנות עם תושבים ובעלי עניין.

This research prototype supports participatory processes in urban design and architecture by enabling structured conversations with residents and stakeholders.

The chatbot helps design teams collect qualitative input at larger scales than are usually possible through meetings or surveys alone. It can support stakeholder dialogue, summarize recurring needs and concerns, and help translate community input into design requirements that planners can review.

The system uses language-model and Natural Language Processing (NLP) methods to conduct and analyze conversations. It can be deployed in a browser or integrated with common messaging platforms such as WhatsApp, depending on the participation context.

Our research evaluates when chatbot-based participation is useful and where it remains limited. In previous studies, chatbot conversations produced rich stakeholder input and high user satisfaction, while also highlighting the need to combine digital participation with deliberative, face-to-face processes.

The goal is not to replace planners, workshops, or community relationships. Instead, the chatbot is designed as one component in a broader participation process, helping teams broaden access, document input more systematically, and make stakeholder reasoning more visible.

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