This course will introduce the field of Visual Analytics to HCI researchers and practitioners highlighting the contributions they can make to this field. Topics will include a definition of visual analytics along with examples of current systems, types of tasks and end users, issues in defining user requirements, design of visualizations and interactions, guidelines and heuristics, the current state of user-centered evaluations, and metrics for evaluation. We encourage designers, HCI researchers, and HCI practitioners to attend to learn how their skills can contribute to advancing the state of the art of visual analytics
Revised: December 2, 2016 |
Published: June 13, 2016
Citation
Scholtz J., E.R. Burtner, and K.A. Cook. 2016."Visual Analytics 101." In Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA 2016), May 7-12, 2016, San Jose, California, 955-958. New York, New York:ACM.PNNL-SA-116339.doi:10.1145/2851581.2856674