| id |
ijac202322203 |
| authors |
Yang, Stephen; Jonathan Dortheimer, Aaron Sprecher and Qian Yang |
| year |
2024 |
| title |
When design workshops meet chatbots: Meaningful participation at scale? |
| source |
International Journal of Architectural Computing 2024, Vol. 22 - no. 2, 1-22 |
| summary |
This paper explores the potential of chatbots, powered by large language models, as a tool for fostering community participation in architectural and urban design. By taking a hybrid approach to community participation in a real-world mixed-use building project, in which we integrated remote chatbot engagements with face-to-face workshops, we explored the potential for a hybrid approach to scaling up the reach of participation while ensuring that such participation is meaningful, genuine, and empowering. Our findings suggest that a hybrid approach amplified the strengths and mitigated the shortcomings of the two methods. The chatbot was effective in sustaining the length of participation, broadening the reach of participation, and creating a personalized environment for introspection. Meanwhile, the face-to-face workshops still played a crucial role in bolstering community ties and trust. This research contributes to understanding chatbots’ strengths and weaknesses in participatory processes, both within spatial design and beyond. In addition, it informs future explorations of participatory processes that span different spatial-temporal configurations |
| keywords |
Artificial intelligence, chatbot, community participation, large language models, natural language processing, participatory design |
| series |
journal |
| references |
Content-type: text/plain
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| last changed |
2024/07/18 13:03 |
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