Vision science provides an empirical basis for techniques and design practices in visualization, including what data features people attend to, what statistics viewers extract, what they ultimately remember.
Visualization provides real world problems for vision scientists to investigate, including color perception, pop-out, and salience. Help us explore and promote this promising research partnership!
This website is a place for sharing the latest relevant publications, conference events, and collaborative efforts between these two communities.
Organizers
Arran Zeyu Wang
(UNC Chapel Hill)
Sheng Long
(Northwestern University)
Ghulam Jilani Quadri
(University of Oklahoma)
Clementine Zimnicki
(UW-Madison)
Ouxun Jiang
(Northwestern University)
Advisory Board
Danielle Albers Szafir
(UNC Chapel Hill)
Cindy Xiong Bearfield
(Georgia Tech)
Matthew Kay
(Northwestern University)
Past organizers*
Madison Elliott (University of British Columbia), Christie Nothelfer (Nielsen Inc.), Danielle Albers Szafir (University of Colorado, Boulder), Zoya Bylinskii (Adobe, Inc.), Cindy Xiong (Northwestern University), Steve Haroz (Université Paris-Saclay, Inria), Racquel Fygenson (Northeastern University), Madeline Awad (Northwestern University)
*all affiliations are from time of organization
Affiliated groups
- Northwestern Visual Thinking Lab
- UW-Madison Visual Reasoning Lab
- UNC/CU VisuaLab
- Georgia Tech VisualiXiong Lab
- OU DIV Lab
InfoVis x Vision science 