Demo Data from EDBT 2026 / reviewers in the wild / expert
Runxi Wu
dblp:406/2197
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0009-2094-2621ORCID · 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 · 56% Design research and methods · 44% | |
| Computer graphics and multimedia
1 paper |
Visualization and visual analytics · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Visualization and visual analytics › information visualization
data physicalization |
1.0 | 1 | 2026 | From Touch to Change: Understanding Public Engagement in Data Physicalization for Social Good · CHI 2026 |
Design research and methods
design space |
1.0 | 1 | 2026 | From Touch to Change: Understanding Public Engagement in Data Physicalization for Social Good · CHI 2026 |
Collaborative and social computing
social good applications |
1.0 | 1 | 2026 | From Touch to Change: Understanding Public Engagement in Data Physicalization for Social Good · CHI 2026 |
Collaborative and social computing
public engagement |
0.3 | 1 | 2026 | From Touch to Change: Understanding Public Engagement in Data Physicalization for Social Good · CHI 2026 |
Methods — techniques the papers use, named apart from their topics
semi-structured interviews · 2.0corpus analysis · 2.0case study · 2.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | From Touch to Change: Understanding Public Engagement in Data Physicalization for Social GoodabstractData physicalization, which encodes data in physical form, has been increasingly used to engage the public with issues of social good. While public engagement is often invoked as a motivation or expected outcome, it has not been systematically examined as a design objective. This gap raises two key challenges: what characterizes engagement in data physicalization for social good (Phys4Good), and how it can be effectively designed. In this work, we address these challenges by first curating a corpus of 45 Phys4Good projects and deriving a design space structured around a modified three-act framework comprising Stage, Encounter, and Impact. We then conducted semi-structured interviews with designers of eight projects to identify recurring challenges and strategies for fostering engagement. Finally, we demonstrated the effectiveness of our design space and strategies through a case study, which showed that they can guide designers in structuring engagement, anticipating barriers, and creating more impactful Phys4Good experiences. Yechun Peng, Runxi Wu, Nan Cao 0001, Yang Shi 0007 |
CHI | 2 |