UrbAI: Exploring the Possibilities of Generative AI Image Processing to Promote Citizen Participation

要旨

Giving citizens a voice in urban development processes is crucial for enabling socially sustainable cities and communities. However, citizens' opportunities to express ideas are often limited to communication channels that offer poor incentives for participation. In this paper, we conducted an in-the-wild technology probe study (N=16) using a generative AI (GenAI) tool to allow citizens to visualise and submit urban development ideas by taking pictures and manipulating them with GenAI. The results highlight the potential of GenAI to empower, engage, and inspire citizens‘ creativity. We then conducted additional expert interviews (N=6) with city representatives and community associates. They voiced GenAI's value in early-stage citizen participation but raised concerns about excluding senior citizens. Building on these insights, we present the design and evaluation (N=10) of UrbAI, a co-creative system tailored to urban development participation and conclude with lessons learned to inform how GenAI could be embedded in future citizen participation processes.

著者
Adrian Preussner
University of St. Gallen, St. Gallen, Switzerland
Anna Crescenza
University of St. Gallen, St. Gallen, Switzerland
Johannes Schöning
University of St. Gallen, St. Gallen, Switzerland
Florian Mathis
University of St. Gallen, St. Gallen, Switzerland
DOI

10.1145/3706598.3713803

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713803

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Platforms and Communities

G316+G317
7 件の発表
2025-04-30 20:10:00
2025-04-30 21:40:00
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