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Steve Haroz

Showing results (1-10 of 6) with videos related to

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IEEE Computer Graphics and Applications|August 30, 2008
Seeing the difference between cosmological simulationsSteve Haroz, Katrin Heitmann
Psychonomic Bulletin & Review|September 22, 2018
Perceptual proxies for extracting averages in data visualizationsLei Yuan, Steve Haroz, Steven Franconeri
Journal of Experimental Psychology. Human Perception and Performance|June 20, 2012
Perceiving group behavior: sensitive ensemble coding mechanisms for biological motion of human crowdsTimothy D Sweeny, Steve Haroz, David Whitney
IEEE Transactions on Visualization and Computer Graphics|November 25, 2015
The Connected Scatterplot for Presenting Paired Time SeriesSteve Haroz, Robert Kosara, Steven L Franconeri
Vision Research|May 29, 2012
Reference repulsion in the categorical perception of biological motionTimothy D Sweeny, Steve Haroz, David Whitney
Journal of Vision|March 17, 2016
Four types of ensemble coding in data visualizationsDanielle Albers Szafir, Steve Haroz, Michael Gleicher, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
IEEE Computer Graphics and Applications|August 30, 2008
Seeing the difference between cosmological simulationsSteve Haroz, Katrin Heitmann
Psychonomic Bulletin & Review|September 22, 2018
Perceptual proxies for extracting averages in data visualizationsLei Yuan, Steve Haroz, Steven Franconeri
Journal of Experimental Psychology. Human Perception and Performance|June 20, 2012
Perceiving group behavior: sensitive ensemble coding mechanisms for biological motion of human crowdsTimothy D Sweeny, Steve Haroz, David Whitney
IEEE Transactions on Visualization and Computer Graphics|November 25, 2015
The Connected Scatterplot for Presenting Paired Time SeriesSteve Haroz, Robert Kosara, Steven L Franconeri
Vision Research|May 29, 2012
Reference repulsion in the categorical perception of biological motionTimothy D Sweeny, Steve Haroz, David Whitney
Journal of Vision|March 17, 2016
Four types of ensemble coding in data visualizationsDanielle Albers Szafir, Steve Haroz, Michael Gleicher, et al.
Pageof 1