TY - JOUR T1 - Rapid understanding of scientific paper collections: integrating statistics, text analysis, and visualization JF - University of Maryland, Human-Computer Interaction Lab Tech Report HCIL-2011 Y1 - 2011 A1 - Dunne,C. A1 - Shneiderman, Ben A1 - Gove,R. A1 - Klavans,J. A1 - Dorr, Bonnie J AB - Keeping up with rapidly growing research fields, especially when there aremultiple interdisciplinary sources, requires substantial effort for researchers, program managers, or venture capital investors. Current theories and tools are directed at finding a paper or website, not gaining an understanding of the key papers, authors, controversies, and hypotheses. This report presents an effort to integrate statistics, text analytics, and visualization in a multiple coordinated window environment that supports exploration. Our prototype system, Action Science Explorer (ASE), provides an environment for demon- strating principles of coordination and conducting iterative usability tests of them with interested and knowledgeable users. We developed an under- standing of the value of reference management, statistics, citation context extraction, natural language summarization for single and multiple docu- ments, filters to interactively select key papers, and network visualization to see citation patterns and identify clusters. The three-phase usability study guided our revisions to ASE and led us to improve the testing methods. ER -