Biblio

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Book Chapter
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)
Conference Paper
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)
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.
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. .
Han H, Li S, North C. Interactive Deep Learning for Sorting Plant Images by Visual Phenotypes. In: NAPPN Annual Conference. NAPPN Annual Conference. ; 2022. p. 5 pages. CropAI_NAPPN-5 copy.pdf (975.74 KB)
Faust R, Scheidegger C, Isaacs K, Bernstein WZ, Sharp M, North C. Interactive Visualization for Data Science Scripts. In: 2022 IEEE Visualization in Data Science (VDS). 2022 IEEE Visualization in Data Science (VDS). Los Alamitos, CA, USA; 2022. p. 37-45. Available from: https://doi.ieeecomputersociety.org/10.1109/VDS57266.2022.00009 Interactive_Visualization_for_Data_Science_Scripts-compressed.pdf (961.35 KB)
Journal Article
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)
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)
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)
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(8):29-39. Two_Black_Boxes-final.pdf (4.34 MB)
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)
Report
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)