Biblio

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Chen X, Self JZ, Sun M, House L, North C. Be the Data: Social Meetings with Visual Analytics. In: International Workshop on Visualization and Collaboration (VisualCol 2016). International Workshop on Visualization and Collaboration (VisualCol 2016). ; 2016. p. 8. cts2016-min.pdf (1.25 MB)
Chen X, Self JZ, House L, Wenskovitch J, Sun M, Wycoff N, Evia JR, Leman S, North C. Be the Data: Embodied Visual Analytics. IEEE Transactions on Learning Technologies. 2018;11(1):81-95. data-embodied-visual.pdf (6.31 MB)
Chen X, House L, Self JZ, Leman S, Evia JR, Fry JT, North C. Be the Data: An Embodied Experience for Data Analytics. In: 2016 Annual Meeting of the American Educational Research Association (AERA). 2016 Annual Meeting of the American Educational Research Association (AERA). ; 2016. p. 20. BeTheData_aera2016 new.pdf (996.6 KB)
Chen X, Self JZ, House L, North C. Be the Data: A New Approach for Immersive Analytics. In: IEEE Virtual Reality 2016 Workshop on Immersive Analytics. IEEE Virtual Reality 2016 Workshop on Immersive Analytics. ; 2016. p. 6. be_the_data_IA_final.pdf (538.3 KB)
Reach C, North C. Bandlimited OLAP cubes for interactive big data visualization. In: Large Data Analysis and Visualization (LDAV), 2015 IEEE 5th Symposium on. Large Data Analysis and Visualization (LDAV), 2015 IEEE 5th Symposium on. Chicago, IL, USA; 2015. p. 107-114. 07348078.pdf (1.62 MB)
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Mi P, Sun M, Masiane M, Cao Y, North C. AVIST: A GPU-Centric Design for Visual Exploration of Large Multidimensional Datasets. Informatics [Internet]. 2016;3(4):18. Available from: http://www.mdpi.com/2227-9709/3/4/18 informatics-03-40018.pdf (2.09 MB)
Self JZ, Zeitz R, North C, Breitler AL. Auto-Highlighter: Identifying Salient Sentences in Text. In: 2013 IEEE International Conference on Intelligence and Security Informatics (ISI). 2013 IEEE International Conference on Intelligence and Security Informatics (ISI). Seattle, WA, USA; 2013. p. 260 - 262. omni-paper.pdf (558.31 KB) salience-3page-final.pdf (311.62 KB) auto_highlighter_slides.pdf (1.83 MB)
Manzoor H, Naik A, Shaffer CA, North C, Edwards SH. Auto-Grading Jupyter Notebooks. In: SIGCSE 2020. SIGCSE 2020. ; 2020. p. . Auto_Grading_Jupyter_Notebooks.pdf (735.01 KB)
Rohrdantz C, Mansmann F, North C, Keim DA. Augmenting the educational curriculum with the Visual Analytics Science and Technology Challenge: Opportunities and pitfalls. Information Visualization. 2014;13:313-325. Information Visualization-2013-Rohrdantz-1473871613481693.pdf (3.94 MB)
Ball R, DellaNoce M, Ni T, Quek F, North C. Applying Embodied Interaction and Usability Engineering to Visualization on Large Displays. In: ACM British HCI - Workshop on Visualization & Interaction. ACM British HCI - Workshop on Visualization & Interaction. ; 2006. p. . PDF (1.07 MB)
Self JZ, House L, Leman S, North C. Andromeda: Observation-Level and Parametric Interaction for Exploratory Data Analysis. Blacksburg; 2015 p. . jzself-tech-report.pdf (2.5 MB)
North C, Chang R, Endert A, Dou W, May R, Pike B, Fink G. Analytic provenance: process+interaction+insight. In: Proceedings of the 2011 annual conference extended abstracts on Human factors in computing systems. Proceedings of the 2011 annual conference extended abstracts on Human factors in computing systems. New York, NY, USA; 2011. p. 33–36. Available from: http://doi.acm.org/10.1145/1979742.1979570 p33-north.pdf (302 KB)
Andrews C, North C. Analyst's Workspace: An embodied sensemaking environment for large, high-resolution displays. In: 2012 IEEE Conference on Visual Analytics Science and Technology (VAST). 2012 IEEE Conference on Visual Analytics Science and Technology (VAST). Seattle, WA, USA; 2012. p. 123 - 131. andrews.pdf (5.15 MB)
Ball R, North C. An Analysis of User Behavior on High-Resolution Tiled Displays. In: The Tenth IFIP International Conference on Human-Computer Interaction (INTERACT 2005). The Tenth IFIP International Conference on Human-Computer Interaction (INTERACT 2005). ; 2005. p. . Available from: http://dx.doi.org/10.1007/11555261_30 PDF (191.42 KB)
Wenskovitch J, Zhao J, Carter S, Cooper M, North C. Albireo: An Interactive Tool for Visually Summarizing Computational Notebook Structure. In: 2019 Symposium on Visualization in Data Science (VDS’19). 2019 Symposium on Visualization in Data Science (VDS’19). ; 2019. p. . Albireo__Visualizing_Computational_Notebooks.pdf (984.33 KB)

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