A structured review of information visualization success measurement

Abstract

Information visualization research has been popular for nearly two decades, but a more widespread adaption of visualization tools is missing. We present a state-of-the-art in measuring information visualization success by means of a structured literature review and a classification framework. This article identifies and classifies 30 empirical journal papers, and consolidates the empirical findings. The review shows an absence of theoretical success models and influence factors as a basis for in-depth success analysis. Dominant research design is that of laboratory experiments which analyze an individual perspective on success. The review results are discussed and a research agenda is proposed.