Demo Data from VLDB 2026 / reviewers in the wild / expert
Anna Crescenza
dblp:402/9784
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Collaborative and social computing › civic engagement
public participation |
0.9 | 1 | 2025 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | UrbAI: Exploring the Possibilities of Generative AI Image Processing to Promote Citizen ParticipationabstractGiving 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 |
CHI | 2 |