Journal
IEEE COMPUTER GRAPHICS AND APPLICATIONS
Volume 38, Issue 6, Pages 17-23Publisher
IEEE COMPUTER SOC
DOI: 10.1109/MCG.2018.2874782
Keywords
-
Categories
Funding
- National Science Foundation [1704018]
- Direct For Computer & Info Scie & Enginr
- Div Of Information & Intelligent Systems [1704018] Funding Source: National Science Foundation
Ask authors/readers for more resources
Unseen information can lead to various threats to validity when analyzing complex datasets using visual tools, resulting in potentially biased findings. We enumerate sources of unseen information and argue that a new focus on contextual visualization methods is needed to inform users of these threats and to mitigate their effects.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available