AI-Driven Participatory and Democratic Design

This award-winning research project explores innovative participatory methods through the development of novel software tools. The outcomes of this project provide new public participation tools that address the challenges of traditional participatory design processes, including power imbalances, knowledge gaps, communication barriers, trust issues, and the need for streamlined information flows.

AI-Driven Participatory and Democratic Design
Line Shape Image
Line Shape Image

About

This award-winning research project develops and studies innovative participatory methods. The outcomes of this project provide new public participation tools that address the challenges of traditional participatory design processes, including power imbalances, knowledge gaps, communication barriers, trust issues, and the need for streamlined information flows.

Automated Participatory Design at an Urban Scale

In this project, we pioneer automated participatory design at an urban scale. Our chatbot technology assists planners in incorporating the public’s needs and ideas into the design process by engaging stakeholders in meaningful dialogues. This approach aims to create more inclusive and representative designs on an urban scale.

Large Language Models in Design

The research focuses on harnessing the power of large language models (LLMs) for design purposes. The chatbots employ advanced natural language processing (NLP) capabilities to understand and interact with users. The team investigates how this technology can stimulate creativity and facilitate fairer design solutions and more equitable cities.

Communication of Design Concepts

The chatbot serves as a tool for gathering input and a platform for articulating design ideas. A significant challenge is translating complex design concepts into understandable language, bridging the communication gap between designers and stakeholders. Improved communication leads to better, better design outcomes.

Collective Intelligence through Participatory Design on an Urban Scale

We explore the emergence of collective intelligence in collective design. By utilizing crowdsourcing technology, architects can access many ideas and perspectives by engaging diverse communities in the design process. The team studies how this collective intelligence can be harnessed to create designs that accurately represent the communities they serve, providing that urban spaces reflect the needs and aspirations of their inhabitants.

Funding

  • Ministery of Science and Technology (Technion TRDF)
  • Valiant LTD
  • Technical University of Munich Global Collaboration Grant
  • Ariel Univerisity

Related Papers

2024
Stephen Yang, Jonathan Dortheimer, Aaron Sprecher, Qian Yang (2024). When design workshops meet chatbots: Meaningful participation at scale?. International Journal of Architectural Computing doi:10.1177/14780771241253440
Jonathan Dortheimer, Nik Martelaro, Aaron Sprecher, Gerhard Schubert (2024). Evaluating Large-Language-Model Chatbots to Engage Communities in Large-Scale Design Projects. Artificial Intelligence for Engineering Design, Analysis and Manufacturing doi:10.1017/S0890060424000027
2023
Jonathan Dortheimer, Stephen Yang, Qian Yang, Aaron Sprecher (2023). Conceptual Architectural Design at Scale: A Case Study of Community Participation Using Crowdsourcing. Buildings doi:10.3390/buildings13010222
2022
Jonathan Dortheimer (2022). Collective Intelligence in Design Crowdsourcing. Mathematics doi:10.3390/math10040539
Jonathan Dortheimer, Nikolas Martelaro, Gerhard Schubert, Aaron Sprecher (2022). CHATBOTS IN THE DESIGN PROCESS -Automating Design Conversation in Urban Design Projects. Unpublished doi:10.13140/RG.2.2.31654.40003
2020
Jonathan Dortheimer, Eran Neuman, Tova Milo (2020). A Novel Crowdsourcing-based Approach for Collaborative Architectural Design. eCAADe proceedings doi:10.52842/conf.ecaade.2020.2.155