TY - JOUR
T1 - Glyphboard
T2 - Visual Exploration of High-Dimensional Data Combining Glyphs with Dimensionality Reduction
AU - Kammer, Dietrich
AU - Keck, Mandy
AU - Gründer, Thomas
AU - Maasch, Alexander
AU - Thom, Thomas
AU - Kleinsteuber, Martin
AU - Groh, Rainer
N1 - Funding Information:
This work has been supported by European Regional Development Fund and the Free State of Saxony (project no. 100238473). Thanks are due to all study participants for their invaluable feedback and support in this research. Kristian Kyas, Marius Hografer, Natalie Hube and Mathias Mu€ller contributed considerably to the implementation of Glyphboard.
Publisher Copyright:
© 1995-2012 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/4/1
Y1 - 2020/4/1
N2 - Rigorous data science is interdisciplinary at its core. In order to make sense of high-dimensional data, data scientists need to enter into a dialogue with domain experts. We present Glyphboard, a visualization tool that aims to support this dialogue. Glyphboard is a zoomable user interface that combines well-known methods such as dimensionality reduction and glyph-based visualizations in a novel, seamless, and integrated tool. While the dimensionality reduction affords a quick overview over the data, glyph-based visualizations are able to show the most relevant dimensions in the data set at one glance. We contribute an open-source prototype of Glyphboard, a general exchange format for high-dimensional data, and a case study with nine data scientists and domain experts from four exemplary domains in order to evaluate how the different visualization and interaction features of Glyphboard are used.
AB - Rigorous data science is interdisciplinary at its core. In order to make sense of high-dimensional data, data scientists need to enter into a dialogue with domain experts. We present Glyphboard, a visualization tool that aims to support this dialogue. Glyphboard is a zoomable user interface that combines well-known methods such as dimensionality reduction and glyph-based visualizations in a novel, seamless, and integrated tool. While the dimensionality reduction affords a quick overview over the data, glyph-based visualizations are able to show the most relevant dimensions in the data set at one glance. We contribute an open-source prototype of Glyphboard, a general exchange format for high-dimensional data, and a case study with nine data scientists and domain experts from four exemplary domains in order to evaluate how the different visualization and interaction features of Glyphboard are used.
KW - Data visualization
KW - Task analysis
KW - Visualization
KW - Tools
KW - Multivariate data
KW - Dimensionality reduction
KW - Glyph-based Visualization Techniques
KW - Data analytics
KW - Empirical studies in interaction design
KW - Human-centered computing
KW - Visualization systems and tools
UR - http://www.scopus.com/inward/record.url?scp=85081599805&partnerID=8YFLogxK
U2 - 10.1109/TVCG.2020.2969060
DO - 10.1109/TVCG.2020.2969060
M3 - Article
C2 - 31985425
SN - 1077-2626
VL - 26
SP - 1661
EP - 1671
JO - IEEE Transactions on Visualization and Computer Graphics
JF - IEEE Transactions on Visualization and Computer Graphics
IS - 4
M1 - 8967136
ER -