TY - JOUR
T1 - Understanding visualization by understanding individual users
AU - Ziemkiewicz, Caroline
AU - Ottley, Alvitta
AU - Crouser, R. Jordan
AU - Chauncey, Krysta
AU - Su, Sara L.
AU - Chang, Remco
PY - 2012
Y1 - 2012
N2 - Visualization is often seen as a tool to support complex thinking. Although different people can have very different ways of approaching the kind of complex task that visualizations support, as researchers and designers we still rarely consider individual differences in creating and evaluating visualizations. This article reviews recent research on individual differences in visualization and human-computer interaction, showing that both cognitive abilities and personality profiles might significantly affect performance with these tools. The study of individual differences has led to the conclusion that advances in this important area in visualization will require more focused research. Specifically, we must isolate the cognitive factors that are relevant to visualization and the design factors that make one visualization more suited to a user than another. In doing so, we could increase our understanding of the visualization user and reshape how we approach design and evaluation.
AB - Visualization is often seen as a tool to support complex thinking. Although different people can have very different ways of approaching the kind of complex task that visualizations support, as researchers and designers we still rarely consider individual differences in creating and evaluating visualizations. This article reviews recent research on individual differences in visualization and human-computer interaction, showing that both cognitive abilities and personality profiles might significantly affect performance with these tools. The study of individual differences has led to the conclusion that advances in this important area in visualization will require more focused research. Specifically, we must isolate the cognitive factors that are relevant to visualization and the design factors that make one visualization more suited to a user than another. In doing so, we could increase our understanding of the visualization user and reshape how we approach design and evaluation.
KW - cognitive science
KW - computer graphics
KW - individual differences
KW - information visualization
KW - personality
KW - visual analytics
UR - https://www.scopus.com/pages/publications/84869472077
U2 - 10.1109/MCG.2012.120
DO - 10.1109/MCG.2012.120
M3 - Article
C2 - 24807313
AN - SCOPUS:84869472077
SN - 0272-1716
VL - 32
SP - 88
EP - 94
JO - IEEE Computer Graphics and Applications
JF - IEEE Computer Graphics and Applications
IS - 6
M1 - 6353432
ER -