Abstract : Visualization has recently gained much relevance for its ability to cope with complex data analysis tasks and communication. While the overall use of visualizations is accelerating, the growth of specialized techniques for the evaluation of visualization systems has been slow. To understand the complex behaviors involved in analyzing data with visualization, evaluation efforts should be targeted at the component level, the system level, and the work environment level. The commonly used evaluation metrics such as task completion time and number of errors appear often insufficient to quantify the quality of a visualization system; thus the name of the BELIV workshop: "beyond time and errors …"
The BELIV workshop series is a bi-annual event focusing on the challenges of evaluation in visualization. While it has been focused on information visualization in the past, BELIV 2012 aimed at gathering researchers in all fields of visualization to continue the exploration of novel evaluation methods, and to structure the knowledge on evaluation in visualization around a schema, where researchers can easily identify unsolved problems and research gaps.