TY - JOUR
T1 - Drag and Track
T2 - A Direct Manipulation Interface for Contextualizing Data Instances within a Continuous Parameter Space
AU - Orban, Daniel
AU - Keefe, Daniel F
AU - Biswas, Ayan
AU - Ahrens, James
AU - Rogers, David
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2019/1
Y1 - 2019/1
N2 - We present a direct manipulation technique that allows material scientists to interactively highlight relevant parameterized simulation instances located in dimensionally reduced spaces, enabling a user-defined understanding of a continuous parameter space. Our goals are two-fold: first, to build a user-directed intuition of dimensionally reduced data, and second, to provide a mechanism for creatively exploring parameter relationships in parameterized simulation sets, called ensembles. We start by visualizing ensemble data instances in dimensionally reduced scatter plots. To understand these abstract views, we employ user-defined virtual data instances that, through direct manipulation, search an ensemble for similar instances. Users can create multiple of these direct manipulation queries to visually annotate the spaces with sets of highlighted ensemble data instances. User-defined goals are therefore translated into custom illustrations that are projected onto the dimensionally reduced spaces. Combined forward and inverse searches of the parameter space follow naturally allowing for continuous parameter space prediction and visual query comparison in the context of an ensemble. The potential for this visualization technique is confirmed via expert user feedback for a shock physics application and synthetic model analysis.
AB - We present a direct manipulation technique that allows material scientists to interactively highlight relevant parameterized simulation instances located in dimensionally reduced spaces, enabling a user-defined understanding of a continuous parameter space. Our goals are two-fold: first, to build a user-directed intuition of dimensionally reduced data, and second, to provide a mechanism for creatively exploring parameter relationships in parameterized simulation sets, called ensembles. We start by visualizing ensemble data instances in dimensionally reduced scatter plots. To understand these abstract views, we employ user-defined virtual data instances that, through direct manipulation, search an ensemble for similar instances. Users can create multiple of these direct manipulation queries to visually annotate the spaces with sets of highlighted ensemble data instances. User-defined goals are therefore translated into custom illustrations that are projected onto the dimensionally reduced spaces. Combined forward and inverse searches of the parameter space follow naturally allowing for continuous parameter space prediction and visual query comparison in the context of an ensemble. The potential for this visualization technique is confirmed via expert user feedback for a shock physics application and synthetic model analysis.
KW - Direct Manipulation
KW - Ensemble Visualization
KW - Semantic Interaction
KW - Shock Physics
KW - Visual Parameter Space Analysis
UR - http://www.scopus.com/inward/record.url?scp=85052652752&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85052652752&partnerID=8YFLogxK
U2 - 10.1109/TVCG.2018.2865051
DO - 10.1109/TVCG.2018.2865051
M3 - Article
C2 - 30136980
AN - SCOPUS:85052652752
SN - 1077-2626
VL - 25
SP - 256
EP - 266
JO - IEEE Transactions on Visualization and Computer Graphics
JF - IEEE Transactions on Visualization and Computer Graphics
IS - 1
M1 - 8440838
ER -