Reaching Broader Audiences With Data Visualization.
Journal
IEEE computer graphics and applications
ISSN: 1558-1756
Titre abrégé: IEEE Comput Graph Appl
Pays: United States
ID NLM: 9881869
Informations de publication
Date de publication:
Historique:
entrez:
10
3
2020
pubmed:
10
3
2020
medline:
10
3
2020
Statut:
ppublish
Résumé
The visualization research community can and should reach broader audiences beyond data-savvy groups of people, because these audiences could also greatly benefit from visual access to data. In this article, we discuss four research topics-personal data visualization, data visualization on mobile devices, inclusive data visualization, and multimodal interaction for data visualization-that, individually and collaboratively, would help us reach broader audiences with data visualization, making data more accessible.
Identifiants
pubmed: 32149613
doi: 10.1109/MCG.2020.2968244
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM