TY - JOUR
T1 - Improved techniques for quantitatively comparing data visualizations.
AU - Pieczkiewicz, David S.
AU - Rasmussen, Luke V.
AU - Starren, Justin B.
PY - 2008
Y1 - 2008
N2 - Visualizations are increasingly important in helping users manage large data streams. As a result, researchers often need to compare the performance of several visualizations. We present two statistical techniques, multiple-reader multiple-case receiver operating characteristic curve analysis, and generalized linear mixed models, to compare the accuracy and speed of decisions using data visualizations. These techniques have several advantages over simpler strategies for assessing decision quality, and should be made part of the quantitative evaluation of visualizations.
AB - Visualizations are increasingly important in helping users manage large data streams. As a result, researchers often need to compare the performance of several visualizations. We present two statistical techniques, multiple-reader multiple-case receiver operating characteristic curve analysis, and generalized linear mixed models, to compare the accuracy and speed of decisions using data visualizations. These techniques have several advantages over simpler strategies for assessing decision quality, and should be made part of the quantitative evaluation of visualizations.
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M3 - Article
C2 - 18999189
AN - SCOPUS:73949158421
SN - 1559-4076
SP - 1095
JO - AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
JF - AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
ER -