Demo Data from SIGIR 2026 / reviewers in the wild / expert
Stewart Powell
dblp:233/2313
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
0000-0002-9220-8807ORCID · 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 |
Learning and educational technologies · 77% Health and well-being technologies · 23% | |
| Computer graphics and multimedia
1 paper |
Visualization and visual analytics · 100% |
Topics — the 1 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Visualization and visual analytics › interactive visualization
interactive visualization system |
0.7 | 1 | 2023 | From Asymptomatics to Zombies: Visualization-Based Education of Disease Modeling for Children · CHI 2023 |
Methods — techniques the papers use, named apart from their topics
workshop study · 1.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | From Asymptomatics to Zombies: Visualization-Based Education of Disease Modeling for ChildrenabstractThroughout the COVID-19 pandemic, visualizations became commonplace in public communications to help people make sense of the world and the reasons behind government-imposed restrictions. Though the adult population were the main target of these messages, children were affected by restrictions through not being able to see friends and virtual schooling. However, through these daily models and visualizations, the pandemic response provided a way for children to understand what data scientists really do and provided new routes for engagement with STEM subjects. In this paper, we describe the development of an interactive and accessible visualization tool to be used in workshops for children to explain computational modeling of diseases, in particular COVID-19. We detail our design decisions based on approaches evidenced to be effective and engaging such as unplugged activities and interactivity. We share reflections and learnings from delivering these workshops to 140 children and assess their effectiveness. Graham Mcneill, Max Sondag, Stewart Powell, Phoebe Asplin, Cagatay Turkay, Faron Moller, Daniel Archambault |
CHI | 3 |