EDBT 2026 Demo / reviewers in the wild / expert
Abhisekh Patra
dblp:179/5014
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1
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 |
Image and video coding · 50% Visualization and visual analytics · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Visualization and visual analytics › information visualization
affective visualization |
0.3 | 1 | 2017 | Affective Color in Visualization · CHI 2017 |
Image and video coding › image compression
color image compression |
0.3 | 1 | 2017 | Affective Color in Visualization · CHI 2017 |
Methods — techniques the papers use, named apart from their topics
perceptual experiment · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | Affective Color in VisualizationabstractCommunicating the right affect, a feeling, experience or emotion, is critical in creating engaging visual communication. We carried out three studies examining how different color properties (lightness, chroma and hue) and different palette properties (combinations and distribution of colors) contribute to different affective interpretations in information visualization where the numbers of colors is typically smaller than the rich palettes used in design. Our results show how color and palette properties can be manipulated to achieve affective expressiveness even in the small sets of colors used for data encoding in information visualization. Lyn Bartram, Abhisekh Patra, Maureen Stone 0002 |
CHI | 2 |