Towards Perception-aware Interactive Data Visualization Systems Eugene Wu / Arnab Nandi Columbia University / The Ohio State University
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Towards Perception-aware Interactive Data Visualization Systems
Eugene Wu / Arnab NandiColumbia University / The Ohio State University
+(faster)
VIZ
Interaction
Interaction
Interactive Visualization
Output Awareness
Don’t show more data than # pixels in output
M4 (database community)
Immens (viz community)
Read less data & render approximate results
Error bars, uncertainty
Sampling/Online Agg
Approximation
time
amou
nt
Create Vis
Resolution Awareness
Perceptual Awareness
Graphical Perception Cleveland et al.
>true value true value
loge
rr
Just Noticeable Difference
how much change before you notice?
JND ~ k * Magnitude
Weber’s LawSteven’s Law
Perceptual Functions as Abstractions
Univariate (Cleveland)
penc(true value) = err of perceived value
Bivariate (JND)
penc(true val1, true val2) = err of perceived difference
Exploration Specifications
HCI CommunityPerceptual Studies
Database CommunityOptimizations
Perceptual Functions
Animated Graphical Perception
Logerr vs fps faceted on rate of change
constant fast very fast
fps
loge
rr
The Wu Lab at Columbia
DB Vis
The Wu Lab at Columbia
DB Vis
The Wu Lab at Columbia
DVMS
interactive data systems arnab’s research group at ohio state
My Work
End UserInteraction /
Next Gen Interfaces
Database Systems
Fast,Low-latency,Rapidquery-response
Iterative, Session-oriented,ad-hoc
Human-in-the-loop
Exploration Specifications +
Perceptual Accuracy
http://perceptvis.github.io
ThisworkissupportedbytheNationalScienceFoundation
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