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Empirical studies form an integral part of visualization research. Not onlycan they facilitate the evaluation of various designs, techniques, systems, andpractices in visualization, but they can also enable the discovery of thecausalities explaining why and how visualization works. This state-of-the-artreport focuses on controlled and semi-controlled empirical studies conducted inlaboratories and crowd-sourcing environments. In particular, the surveyprovides a taxonomic analysis of over 129 empirical studies in thevisualization literature. It juxtaposes these studies with topic developmentsbetween 1978 and 2017 in psychology, where controlled empirical studies haveplayed a predominant role in research. To help appreciate this broad context,the paper provides two case studies in detail, where specificvisualization-related topics were examined in the discipline of psychology aswell as the field of visualization. Following a brief discussion on some latestdevelopments in psychology, it outlines challenges and opportunities in makingnew discoveries about visualization through empirical studies.

Juxtaposing Controlled Empirical Studies in Visualization with Topic Developments in Psychology