A Review and Characterization of Progressive Visual Analytics

Progressive Visual Analytics (PVA) has gained increasing attention over the past years. It brings the user into the loop during otherwise long-running and non-transparent computations by producing intermediate partial results. These partial results can be shown to the user for early and continuous interaction with the emerging end result even while it is still being computed. Yet as clear-cut as this fundamental idea seems, the existing body of literature puts forth various interpretations and instantiations that have created a research domain of competing terms, various definitions, as well as long lists of practical requirements and design guidelines spread across different scientific communities. This makes it more and more difficult to get a succinct understanding of PVA’s principal concepts, let alone an overview of this increasingly diverging field. The review and discussion of PVA presented in this paper address these issues and provide (1) a literature collection on this topic, (2) a conceptual characterization of PVA, as well as (3) a consolidated set of practical recommendations for implementing and using PVA-based visual analytics solutions

Top 10 unsolved information visualization problems

IEEE Computer Graphics and Applications, 25 (4). 12-16. Retrieved 6/21/2006 from http://www.pages.drexel.edu/~cc345/papers/cga2005.pdf.Athought-provoking panel, organized by Theresa- Marie Rhyne, at IEEE Visualization 2004 addressed the top unsolved problems of visualization.1 Two of the invited panelists, Bill Hibbard and Chris Johnson, addressed scientific visualization problems. Steve Eick and I identified information visualization problems. The following top 10 unsolved problems list is a revised and extended version of the information visualization problems I outlined on the panel. These problems are not necessarily imposed by technical barriers; rather, they are problems that might hinder the growth of information visualization as a field. The first three problems highlight issues from a user-centered perspective. The fifth, sixth, and seventh problems are technical challenges in nature. The last three are the ones that need tackling at the disciplinary level