Abhisekh Patra

dblp:179/5014 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Visualization and visual analytics › information visualization
affective visualization
0.312017
Affective Color in Visualization · CHI 2017
Image and video coding › image compression
color image compression
0.312017
Affective Color in Visualization · CHI 2017

Methods — techniques the papers use, named apart from their topics

perceptual experiment · 0.3
YearPublicationVenuePosition
2017 Affective Color in Visualization
abstract
Communicating 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
CHI2