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Anna Crescenza

dblp:402/9784 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
0009-0002-0549-1921ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Collaborative and social computing · 77% User interface design and tools · 23%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Collaborative and social computing › civic engagement
public participation
0.912025
UrbAI: Exploring the Possibilities of Generative AI Image Processing to Promote Citizen Participation · CHI 2025

Methods — techniques the papers use, named apart from their topics

technology probe · 0.9expert interviews · 0.9design evaluation · 0.9
YearPublicationVenuePosition
2025 UrbAI: Exploring the Possibilities of Generative AI Image Processing to Promote Citizen Participation
abstract
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.
Adrian Preussner, Anna Crescenza, Johannes Schöning, Florian Mathis
CHI2