Biblio

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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)
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)
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)
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)
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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)
Norambuena BK, Mitra T, North C. Mixed Multi-Model Semantic Interaction for Graph-based Narrative Visualizations. In: ACM Intelligent User Interfaces (IUI). ACM Intelligent User Interfaces (IUI). ; 2023. p. . IUI___Semantic_Interaction copy-compressed.pdf (750.29 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.
Soares LP, Lu F, North C, Bowman DA. Multiple Monitors or Single Canvas? Evaluating Window Management and Layout Strategies on Virtual Displays. IEEE Transactions on Visualization and Computer Graphics. 2024;to appear. _TVCG__Multi_monitors_or_Single_Canvas__Evaluating_Window_Management_and_Layout_Strategies_in_Virtual_Displays-2.pdf (500.21 KB)
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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Norambuena BK, Mitra T, North C. Narrative Sensemaking: Strategies for Narrative Maps Construction. In: IEEE Visualization Conference (VIS). IEEE Visualization Conference (VIS). ; 2021. p. 181-185. Short_Paper_VIS_CR.pdf (1.05 MB)
Amiri S, Adhikari B, Wenskovitch J, Rodriguez A, Dowling M, North C, Prakash A. NetReAct: Interactive Learning for Network Summarization. In: NeurIPS 2020 Workshop on Human and Model in the Loop Evaluation and Training Strategies (HAMLETS). NeurIPS 2020 Workshop on Human and Model in the Loop Evaluation and Training Strategies (HAMLETS). ; 2020. p. . NetReact_NeuripsWorkshop (1).pdf (584.12 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)
Wenskovitch J, North C. Observation-Level Interaction with Clustering and Dimension Reduction Algorithms. In: Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics. Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics. New York, NY, USA; 2017. p. 14:1–14:6. Available from: http://doi.acm.org/10.1145/3077257.3077259 HILDA17_final.pdf (691.5 KB)
Endert A, Han C, Maiti D, House L, Leman S, North C. Observation-level interaction with statistical models for visual analytics. In: Visual Analytics Science and Technology (VAST), 2011 IEEE Conference on. Visual Analytics Science and Technology (VAST), 2011 IEEE Conference on. ; 2011. p. 121 -130. PDF.pdf (1.26 MB)
Tessendorf D, Chewar CM, Ndiwalana A, Pryor J, McCrickard SD, North C. An ordering of secondary task display attributes. In: CHI '02: CHI '02 extended abstracts on Human factors in computing systems. CHI '02: CHI '02 extended abstracts on Human factors in computing systems. New York, NY, USA; 2002. p. 600–601.

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