Biblio

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Skarbez R, Polys NF, Ogle TJ, North C, Bowman DA. Immersive Analytics: Theory and Research Agenda. Frontiers in Robotics and AI [Internet]. 2019;6:82. Available from: https://www.frontiersin.org/article/10.3389/frobt.2019.00082 92e73d798fc9ef4c3da4c542606c9a38f337.pdf (2.79 MB)
Bandyopadhyay P, Lisle L, North C, Bowman DA, Polys NF. Immersive Space to Think: The Role of 3D Space for Sensemaking. In: 4th Workshop on Immersive Analytics at ACM CHI 2020. 4th Workshop on Immersive Analytics at ACM CHI 2020. ; 2020. p. 8 . 03_submission3-CHI2020_IA.pdf (1.63 MB)
Andrews C, North C. The Impact of Physical Navigation on Spatial Organization for Sensemaking. IEEE Transactions on Visualization and Computer Graphics. 2013;19(12):2207 - 2216. 06634176.pdf (2.5 MB)
Self JZ, Self N, House L, Leman S, North C. Improving Students' Cognitive Dimensionality through Education with Object-Level Interaction. Blacksburg; 2014 p. . vast_self_tech_report.pdf (2.96 MB)
North C. Information Visualization. In: Handbook of Human Factors and Ergonomics. 3rd Editionrd ed. Handbook of Human Factors and Ergonomics. New York; 2005. p. pg. 1222-1246. PDF (2.43 MB)
Andrews C, Endert A, Yost B, North C. Information visualization on large, high-resolution displays: Issues, challenges, and opportunities. Information Visualization [Internet]. 2011;10:341-355. Available from: http://ivi.sagepub.com/content/10/4/341.abstract PDF.pdf (532.24 KB)
Bowman DA, North C, Chen J, Polys NF, Pyla PS, Yilmaz U. Information-rich virtual environments: theory, tools, and research agenda. In: VRST '03: Proceedings of the ACM symposium on Virtual reality software and technology. VRST '03: Proceedings of the ACM symposium on Virtual reality software and technology. New York, NY, USA; 2003. p. 81–90.
Saraiya P, North C, Lam V, Duca K. An Insight-Based Longitudinal Study of Visual Analytics. IEEE Transactions on Visualization and Computer Graphics. 2006;12:1511–1522. PDF (6.11 MB)
Saraiya P, North C, Duca K. An Insight-Based Methodology for Evaluating Bioinformatics Visualizations. IEEE Transactions on Visualization and Computer Graphics. 2005;11:443–456. PDF (4.88 MB)
Wenskovitch J, North C. Interactive Artificial Intelligence: Designing for the "Two Black Boxes" Problem. IEEE Computer. 2020;53:29-39. Two_Black_Boxes-final.pdf (4.34 MB)
Sun M, Koop D, Zhao J, North C, Ramakrishnan N. Interactive Bicluster Aggregation in Bipartite Graphs. In: VIS 2019 Short Papers. VIS 2019 Short Papers. ; 2019. p. .
Wu H, Sun M, Mi P, Ta N, North C, Ramakrishnan N. Interactive Discovery of Coordinated Relationship Chains with Maximum Entropy Models. ACM Transactions on Knowledge Discovery from Data. 2018;12(1). paper.pdf (7.13 MB)
Mi P, Sun M, Masiane M, Cao Y, North C. Interactive Graph Layout of a Million Nodes. Informatics [Internet]. 2016;3(4):23. Available from: http://www.mdpi.com/2227-9709/3/4/23 informatics-03-00023.pdf (3.13 MB)
Dowling M, Wycoff N, Mayer B, Wenskovitch J, Leman S, House L, Polys N, North C, Hauck P. Interactive Visual Analytics for Sensemaking with Big Text. Big Data Research [Internet]. 2019;16:49 - 58. Available from: http://www.sciencedirect.com/science/article/pii/S2214579618302995 1-s2.0-S2214579618302995-main.pdf (1.32 MB)
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Bradel L, Endert A, Koch K, Andrews C, North C. Large High Resolution Displays for Co-Located Collaborative Sensemaking: Display Usage and Territoriality. International Journal of Human-Computer Studies. 2013;71(11):1078-1088. 1-s2.0-S1071581913000992-main.pdf (1.41 MB)
Krishnamoorthy S, North C. Learnability of Interactive Coordinated-View Visualizations. In: IV '05: Proceedings of the Ninth International Conference on Information Visualisation. IV '05: Proceedings of the Ninth International Conference on Information Visualisation. Washington, DC, USA; 2005. p. 306–311. iv05-visusability.pdf (247.5 KB)
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Wenskovitch J, North C. Machine Learning from Interaction in Multi-Model Visual Analytics. In: Proceedings of the ACM CHI Conference Workshop on Human-Centered Machine Learning Perspectives at CHI’19. Proceedings of the ACM CHI Conference Workshop on Human-Centered Machine Learning Perspectives at CHI’19. ; 2019. p. . HCML_Submission.pdf (552.21 KB)
Wenskovitch J, Dowling M, Grose L, North C, Chang R, Endert A, Rogers D. Machine Learning from User Interaction for Visualization and Analytics: A Workshop-Generated Research Agenda. In: Proceedings of the IEEE VIS Workshop MLUI 2019: Machine Learning from User Interactions for Visualization and Analytics. VIS’19. Proceedings of the IEEE VIS Workshop MLUI 2019: Machine Learning from User Interactions for Visualization and Analytics. VIS’19. ; 2019. p. . MLUI_Long_Paper.pdf (5.22 MB)
Berry B, Hobby L, McCrickard SD, North C, Pérez-Quiñones MA. Making a Case for HCI: Exploring Benefits of Visualization for Case Studies. In: World Conference on Educational Multimedia/Hypermedia and Educational Telecommunications (ED-MEDIA '06). World Conference on Educational Multimedia/Hypermedia and Educational Telecommunications (ED-MEDIA '06). Orlando FL; 2006. p. . Available from: http://www.cs.vt.edu/node/1328 PDF (354.05 KB)
Wang J, Mi P, North C. Making Sense of Daily Life Data: From Commonalities To Anomalies. In: VAST Challenge 2014. VAST Challenge 2014. ; 2014. p. . VAST_2014_MC2_VT_Wang.pdf (717.14 KB)
Masiane MM, Jacques E, Feng W, North C. Modelling the Effect of Computation Sampling on Insight Error in Computational Fluid Dynamics Scientific Simulation. Journal of Engineering, Design and Technology. 2020:32. CFD_IE_Study.pdf (2.7 MB)
Ball R, North C, Bowman DA. Move to improve: promoting physical navigation to increase user performance with large displays. In: CHI '07: Proceedings of the SIGCHI conference on Human factors in computing systems. CHI '07: Proceedings of the SIGCHI conference on Human factors in computing systems. New York, NY, USA; 2007. p. 191–200. PDF (4.28 MB)
Conklin N, Prabhakar S, North C. Multiple Foci Drill-Down through Tuple and Attribute Aggregation Polyarchies in Tabular Data. In: INFOVIS '02: Proceedings of the IEEE Symposium on Information Visualization (InfoVis'02). INFOVIS '02: Proceedings of the IEEE Symposium on Information Visualization (InfoVis'02). Washington, DC, USA; 2002. p. 131.
Peck SM, North C, Bowman DA. A multiscale interaction technique for large, high-resolution displays. In: 3DUI '09: Proceedings of the 2009 IEEE Symposium on 3D User Interfaces. 3DUI '09: Proceedings of the 2009 IEEE Symposium on 3D User Interfaces. Washington, DC, USA; 2009. p. 31–38. PDF (457.18 KB)
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Self JZ, Dowling M, Wenskovitch J, Crandell I, Wang M, House L, Leman S, North C. Observation-Level and Parametric Interaction for High-Dimensional Data Analysis. ACM Transactions on Interactive Intelligent Systems. 2018;8(2). observation-level-parametric_first_look_version.pdf (1.82 MB)

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