Transient Visual Analytics

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08_eurova20241108.pdf (21.72 MB)
Date
2024
Authors
Schulz, Hans-Jörg
Weaver, Chris
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Visual Analytics often utilizes progression as a means to overcome the challenges presented by large amounts of data or extensive computations. In Progressive Visual Analytics (PVA), data gets chunked into smaller subsets, which are then processed independently, and subsequently added to a visualization that completes over time. We introduce Transient Visual Analytics (TVA), which complements this incremental addition of data with progressive removal of data as it becomes outdated, starts to clutter the visualization, and generally distracts from the data that is currently relevant to visual analysis. Through combinations of various progressive addition and removal strategies, and supported by suitable analogies for the analyst and the software engineer, TVA captures a variety of visual analysis scenarios and approaches that are not well captured by PVA alone.
Description

CCS Concepts: Human-centered computing → Visual Analytics; Computing methodologies → Progressive computation

        
@inproceedings{
10.2312:eurova.20241108
,
booktitle = {
EuroVis Workshop on Visual Analytics (EuroVA)
},
editor = {
El-Assady, Mennatallah
 and 
Schulz, Hans-Jörg
},
title = {{
Transient Visual Analytics
}},
author = {
Schulz, Hans-Jörg
 and 
Weaver, Chris
},
year = {
2024
},
publisher = {
The Eurographics Association
},
ISBN = {
978-3-03868-253-0
},
DOI = {
10.2312/eurova.20241108
}
}
Citation
URI
https://doi.org/10.2312/eurova.20241108
 https://diglib.eg.org/handle/10.2312/eurova20241108
Collections
EuroVA2024