VLDB 2026 Research / reviewers in the wild / expert
Pablo Celhay
dblp:380/5023
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
0000-0003-2444-6472ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 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.
| 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
data storytelling |
0.8 | 1 | 2024 | Attitudinal Effects of Data Visualizations and Illustrations in Data Stories · IEEE Trans. Vis. Comput. Graph. 2024 |
Visualization and visual analytics
data visualization |
0.8 | 1 | 2024 | Attitudinal Effects of Data Visualizations and Illustrations in Data Stories · IEEE Trans. Vis. Comput. Graph. 2024 |
Visualization and visual analytics › visual communication
persuasive visualization |
0.8 | 1 | 2024 | Attitudinal Effects of Data Visualizations and Illustrations in Data Stories · IEEE Trans. Vis. Comput. Graph. 2024 |
Visualization and visual analytics
information visualization |
0.2 | 1 | 2024 | Attitudinal Effects of Data Visualizations and Illustrations in Data Stories · IEEE Trans. Vis. Comput. Graph. 2024 |
Methods — techniques the papers use, named apart from their topics
user study · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Attitudinal Effects of Data Visualizations and Illustrations in Data StoriesabstractJournalism has become more data-driven and inherently visual in recent years. Photographs, illustrations, infographics, data visualizations, and general images help convey complex topics to a wide audience. The way that visual artifacts influence how readers form an opinion beyond the text is an important issue to research, but there are few works about this topic. In this context, we research the persuasive, emotional and memorable dimensions of data visualizations and illustrations in journalistic storytelling for long-form articles. We conducted a user study and compared the effects which data visualizations and illustrations have on changing attitude towards a presented topic. While visual representations are usually studied along one dimension, in this experimental study, we explore the effects on readers' attitudes along three: persuasion, emotion, and information retention. By comparing different versions of the same article, we observe how attitudes differ based on the visual stimuli present, and how they are perceived when combined. Results indicate that the narrative using only data visualization elicits a stronger emotional impact than illustration-only visual support, as well as a significant change in the initial attitude about the topic. Our findings contribute to a growing body of literature on how visual artifacts may be used to inform and influence public opinion and debate. We present ideas for future work to generalize the results beyond the domain studied, the water crisis. Manuela Garretón, Francesca Morini, Pablo Celhay, Marian Dörk, Denis Parra |
IEEE Trans. Vis. Comput. Graph. | 3 |