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A Study on Dual-Scale Data Charts
Dec. 2011 (vol. 17 no. 12)
pp. 2469-2478
ASCII Text
x 
 
Petra Isenberg, Anastasia Bezerianos, Pierre Dragicevic, Jean-Daniel Fekete, "A Study on Dual-Scale Data Charts," IEEE Transactions on Visualization and Computer Graphics, vol. 17, no. 12, pp. 2469-2478, Dec., 2011.
 
 
BibTex
x
 
@article{ 10.1109/TVCG.2011.160,
author = {Petra Isenberg and Anastasia Bezerianos and Pierre Dragicevic and Jean-Daniel Fekete},
title = {A Study on Dual-Scale Data Charts},
journal ={IEEE Transactions on Visualization and Computer Graphics},
volume = {17},
number = {12},
issn = {1077-2626},
year = {2011},
pages = {2469-2478},
doi = {http://doi.ieeecomputersociety.org/10.1109/TVCG.2011.160},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Visualization and Computer Graphics
TI - A Study on Dual-Scale Data Charts
IS - 12
SN - 1077-2626
SP2469
EP2478
EPD - 2469-2478
A1 - Petra Isenberg,
A1 - Anastasia Bezerianos,
A1 - Pierre Dragicevic,
A1 - Jean-Daniel Fekete,
PY - 2011
KW - Focus+Context
KW - Quantitative Experiment
KW - Dual-Scale Charts.
VL - 17
JA - IEEE Transactions on Visualization and Computer Graphics
ER -
 
We present the results of a user study that compares different ways of representing Dual-Scale data charts. Dual-Scale charts incorporate two different data resolutions into one chart in order to emphasize data in regions of interest or to enable the comparison of data from distant regions. While some design guidelines exist for these types of charts, there is currently little empirical evidence on which to base their design. We fill this gap by discussing the design space of Dual-Scale cartesian-coordinate charts and by experimentally comparing the performance of different chart types with respect to elementary graphical perception tasks such as comparing lengths and distances. Our study suggests that cut-out charts which include collocated full context and focus are the best alternative, and that superimposed charts in which focus and context overlap on top of each other should be avoided.

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Index Terms:
Focus+Context, Quantitative Experiment, Dual-Scale Charts.
Citation:
Petra Isenberg, Anastasia Bezerianos, Pierre Dragicevic, Jean-Daniel Fekete, "A Study on Dual-Scale Data Charts," IEEE Transactions on Visualization and Computer Graphics, vol. 17, no. 12, pp. 2469-2478, Dec. 2011, doi:10.1109/TVCG.2011.160
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