@conference {wenskovitch2018effect, title = {The Effect of Semantic Interaction on Foraging in Text Analysis}, booktitle = {2018 IEEE Conference on Visual Analytics Science and Technology (VAST)}, year = {2018}, abstract = {Completing text analysis tasks is a continuous sensemaking loop of foraging for information and incrementally synthesizing it into hypotheses. Past research has shown the advantages of using spatial workspaces as a means for synthesizing information through externalizing hypotheses and creating spatial schemas. However, spatializing the entirety of datasets becomes prohibitive as the number of documents available to the analysts grows, particularly when only a small subset are relevant to the task at hand. StarSPIRE is a visual analytics tool designed to explore collections of documents, leveraging users{\textquoteright} semantic interactions to steer (1) a synthesis model that aids in document layout, and (2) a foraging model to automatically retrieve new relevant information. In contrast to traditional keyword search foraging (KSF), "semantic interaction foraging" (SIF) occurs as a result of the user{\textquoteright}s synthesis actions. To quantify the value of semantic interaction foraging, we use StarSPIRE to evaluate its utility for an intelligence analysis sensemaking task. Semantic interaction foraging accounted for 26\% of useful documents found, and it also resulted in increased synthesis interactions and improved sensemaking task performance by users in comparison to only using keyword search.}, author = {Wenskovitch, John and Lauren Bradel and Michelle Dowling and House, Leanna and North, Chris} } @conference {DOI242, title = {Big Text Visual Analytics in Sensemaking}, booktitle = {IEEE International Symposium on Big Data Visual Analytics}, year = {2015}, month = {09/2015}, pages = {8 pages}, author = {Lauren Bradel and Nathan Wycoff and House, Leanna and North, Chris} } @conference {Wang2014a, title = {Event-Based Text Visual Analytics}, booktitle = {VAST Challenge 2014}, year = {2014}, address = {Paris, France}, abstract = {We present an event-based approach for solving a directed sensemaking task in which we combine powerful information foraging tools with intuitive synthesis spaces to solve the VAST 2014 Mini-Challenge 1 (MC1). A combination of student-created and commericially available software are used to solve various aspects of the scenario. In addition to applying entitiy extraction and topic modelling, we enable the user to explore a large dataset using multi-model semantic interaction, which infers analytical reasoning from user actions to augment the data spatialization and determine what information should be presented and suggested to the user. Additionally, we visualize extracted topics using Tableau to construct a timeline of events surrounding the questions posed by the challen}, keywords = {event extraction, Semantic interaction, sensemaking, topic modelling}, author = {Wang, Ji and Lauren Bradel and North, Chris} } @conference {Sun:2014:RIB:2611528.2557337, title = {The Role of Interactive Biclusters in Sensemaking}, booktitle = {Proceedings of the 32Nd Annual ACM Conference on Human Factors in Computing Systems}, series = {CHI {\textquoteright}14}, year = {2014}, pages = {1559{\textendash}1562}, publisher = {ACM}, organization = {ACM}, address = {New York, NY, USA}, keywords = {biclustering, Intelligence Analysis, visual interaction}, isbn = {978-1-4503-2473-1}, doi = {10.1145/2556288.2557337}, url = {http://doi.acm.org/10.1145/2556288.2557337}, author = {Sun, Maoyuan and Lauren Bradel and North, Chris L. and Ramakrishnan, Naren} } @conference {DOI219, title = {StarSpire: Multi-Model Semantic Interaction for Text Analytics}, booktitle = {IEEE Conference on Visual Analytics Science and Technology (VAST)}, year = {2014}, pages = {1-10}, publisher = {IEEE}, organization = {IEEE}, address = {Paris, France}, abstract = {Semantic interaction offers an intuitive communication mechanism between human users and complex statistical models. By shielding the users from manipulating model parameters, they focus instead on directly manipulating the spatialization, thus remaining in their cognitive zone. However, this technique is not inherently scalable past hundreds of text documents. To remedy this, we present the concept of multi-model semantic interaction, where semantic interactions can be used to steer multiple models at multiple levels of data scale, enabling users to tackle larger data problems. We also present an updated visualization pipeline model for generalized multi-model semantic interaction. To demonstrate multi-model semantic interaction, we introduce StarSPIRE, a visual text analytics prototype that transforms user interactions on documents into both small-scale display layout updates as well as large-scale relevancy-based document selection.}, author = {Lauren Bradel and North, Chris and House, Leanna and Leman, Scotland} } @article {DOI10.1109/MCG.2013.53, title = {Beyond Control Panels: Direct Manipulation for Visual Analytics}, journal = {IEEE Computer Graphics and Applications}, volume = {33}, year = {2013}, month = {07/2013}, pages = {6 - 13}, issn = {0272-1716}, doi = {10.1109/MCG.2013.53}, author = {Endert, Alex and Lauren Bradel and North, Chris} } @article {DOI10.1109/MC.2013.269, title = {Bixplorer: Visual Analytics with Biclusters}, journal = {Computer}, volume = {46}, year = {2013}, month = {08/2013}, pages = {90 - 94}, issn = {0018-9162}, doi = {10.1109/MC.2013.269}, author = {Fiaux, Patrick and Sun, Maoyuan and Lauren Bradel and North, Chris and Ramakrishnan, Naren and Endert, Alex} } @conference {DOI10.1109/ISI.2013.6578780, title = {How analysts cognitively {\textquotedblleft}connect the dots{\textquotedblright}}, booktitle = {2013 IEEE International Conference on Intelligence and Security Informatics (ISI)}, year = {2013}, month = {6/2013}, pages = {24 - 26}, publisher = {IEEE}, organization = {IEEE}, address = {Seattle, WA, USA}, isbn = {978-1-4673-6214-6}, doi = {10.1109/ISI.2013.6578780}, author = {Lauren Bradel and Self, Jessica Zeitz and Endert, Alex and Hossain, M. Shahriar and North, Chris and Ramakrishnan, Naren} } @article {DOI10.1016/j.ijhcs.2013.07.004, title = {Large High Resolution Displays for Co-Located Collaborative Sensemaking: Display Usage and Territoriality}, journal = {International Journal of Human-Computer Studies}, volume = {71}, year = {2013}, month = {11/2013}, pages = {1078-1088}, issn = {10715819}, doi = {10.1016/j.ijhcs.2013.07.004}, author = {Lauren Bradel and Endert, Alex and Koch, Kristen and Andrews, Christopher and North, Chris} } @article {DOI10.1109/TVCG.2013.188, title = {Semantics of Directly Manipulating Spatializations}, journal = {IEEE Transactions on Visualization and Computer Graphics}, volume = {19}, year = {2013}, month = {12/2013}, pages = {2052 - 2059}, issn = {1077-2626}, doi = {10.1109/TVCG.2013.188}, author = {Hu, Xinran and Lauren Bradel and Maiti, Dipayan and House, Leanna and North, Chris and Leman, Scotland} } @conference {Endert:2012:DLH:2254556.2254570, title = {Designing large high-resolution display workspaces}, booktitle = {Proceedings of the International Working Conference on Advanced Visual Interfaces}, series = {AVI {\textquoteright}12}, year = {2012}, pages = {58{\textendash}65}, publisher = {ACM}, organization = {ACM}, address = {New York, NY, USA}, abstract = {Large, high-resolution displays have enormous potential to aid in scenarios beyond their current usage. Their current usages are primarily limited to presentations, visualization demonstrations, or conducting experiments. In this paper, we present a new usage for such systems: an everyday workspace. We discuss how seemingly small large-display design decisions can have significant impacts on users{\textquoteright} perceptions of these workspaces, and thus the usage of the space. We describe the effects that various physical configurations have on the overall usability and perception of the display. We present conclusions on how to broaden the usage scenarios of large, high-resolution displays to enable frequent and effective usage as everyday workspaces while still allowing transformation to collaborative or presentation spaces.}, keywords = {large high-resolution displays}, isbn = {978-1-4503-1287-5}, doi = {10.1145/2254556.2254570}, url = {http://doi.acm.org/10.1145/2254556.2254570}, author = {Endert, Alex and Lauren Bradel and Zeitz, Jessica and Andrews, Christopher and North, Chris} } @conference {119, title = {Co-located Collaborative Sensemaking on a Large High-Resolution Display with Multiple Input Devices}, booktitle = {INTERACT 2011}, volume = {6947}, year = {2011}, pages = {589 - 604}, address = {Lisbon, Portugal}, keywords = {co-located, CSCW, Large High Resolution Display, large high-resolution display, sensemaking, Visual Analytics}, isbn = {978-3-642-23771-3}, issn = {1611-3349}, doi = {10.1007/978-3-642-23771-3_44}, author = {Katherine Vogt and Lauren Bradel and Andrews, Christopher and North, Chris and Endert, Alex and Duke Hutchings} } @unpublished {120, title = {Space for Two to Think: Large, High-Resolution Displays for Co-located Collaborative Sensemaking}, journal = {Technical Report TR-11-11}, year = {2011}, publisher = {Computer Science, Virginia Tech}, keywords = {collaborative sensemaking, high-resolution displays, large, Large High Resolution Display, single display groupware, Visual Analytics}, author = {Lauren Bradel and Andrews, Christopher and Endert, Alex and Katherine Vogt and Duke Hutchings and North, Chris} } @conference {Singh:2011:SCA:2016904.2016907, title = {Supporting the cyber analytic process using visual history on large displays}, booktitle = {Proceedings of the 8th International Symposium on Visualization for Cyber Security}, series = {VizSec {\textquoteright}11}, year = {2011}, pages = {3:1{\textendash}3:8}, publisher = {ACM}, organization = {ACM}, address = {New York, NY, USA}, keywords = {interaction styles, large high-resolution displays, prototyping, screen design, user-centered design}, isbn = {978-1-4503-0679-9}, doi = {10.1145/2016904.2016907}, url = {http://doi.acm.org/10.1145/2016904.2016907}, author = {Singh, Ankit and Lauren Bradel and Endert, Alex and Kincaid, Robert and Andrews, Christopher and North, Chris} }