Biblio

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Self JZ, Vinayagam RK, Fry JT, North C. Bridging the Gap between User Intention and Model Parameters for Data Analytics. In: SIGMOD 2016 Workshop on Human-In-the-Loop Data Analytics (HILDA 2016). SIGMOD 2016 Workshop on Human-In-the-Loop Data Analytics (HILDA 2016). ; 2016. p. 6. paper6.pdf (1.46 MB)
Fink G, Duggirala V, Correa R, North C. Bridging the host-network divide: survey, taxonomy, and solution. In: LISA '06: Proceedings of the 20th conference on Large Installation System Administration. LISA '06: Proceedings of the 20th conference on Large Installation System Administration. Berkeley, CA, USA; 2006. p. 20–20. PDF (958.82 KB)
Self JZ, Self N, House L, Evia JR, Leman S, North C. Bringing Interactive Visual Analytics to the Classroom for Developing EDA Skills. Blacksburg; 2015 p. . cog_dim_tech_report.pdf (1.11 MB)
Self JZ, Self N, House L, Evia JR, Leman S, North C. Bringing Interactive Visual Analytics to the Classroom for Developing EDA Skills. In: Proceedings of the 33rd Annual Consortium of Computing Sciences in Colleges (CCSC) Eastern Regional Conference. Proceedings of the 33rd Annual Consortium of Computing Sciences in Colleges (CCSC) Eastern Regional Conference. ; 2017. p. 10. ccsc_eastern_submission_final.pdf (588.97 KB)
North C, Korn F. Browsing anatomical image databases: a case study of the visible human. In: CHI '96: Conference companion on Human factors in computing systems. CHI '96: Conference companion on Human factors in computing systems. New York, NY, USA; 1996. p. 414–415.
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Liu H, North C. Case Study Comparison of Computational Notebook Platforms for Interactive Visual Analytics. In: Proceedings of Symposium on Visualization in Data Science (VDS). Proceedings of Symposium on Visualization in Data Science (VDS). ; 2022. p. . An_Exploration_of_Interactive_Visualization_in_Computational_Notebooks.pdf (1.88 MB)
Endert A, Fiaux P, Chung H, Stewart M, Andrews C, North C. ChairMouse: leveraging natural chair rotation for cursor navigation on large, high-resolution displays. 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. 571–580. Available from: http://doi.acm.org/10.1145/1979742.1979628 p571-endert.pdf (774.47 KB)
Wenskovitch J, Dowling M, North C. The Cognitive and Computational Benefits and Limitations of Clustering for Sensemaking. In: CHI '18 Workshop on Sensemaking in a Senseless World. CHI '18 Workshop on Sensemaking in a Senseless World. Montreal, QC, Canada; 2018. p. . cognitive-computational-benefits.pdf (374.93 KB)
Vogt K, Bradel L, Andrews C, North C, Endert A, Hutchings D. Co-located Collaborative Sensemaking on a Large High-Resolution Display with Multiple Input Devices. In: INTERACT 2011. Vol. 6947. INTERACT 2011. Lisbon, Portugal; 2011. p. 589 - 604. PDF (656.32 KB)
Machaj D, Andrews C, North C. Co-located Many-Player Gaming on Large High-Resolution Displays. In: Computational Science and Engineering, 2009. CSE '09. International Conference on. Vol. 4. Computational Science and Engineering, 2009. CSE '09. International Conference on. ; 2009. p. 697 -704. PDF (525.04 KB)
North C, Saraiya P, Duca K. A comparison of benchmark task and insight evaluation methods for information visualization. Information Visualization. 2011;10(3):162 - 181. Information Visualization-2011-North-162-81.pdf (916.23 KB)
Chung H, Chu SL, North C. A Comparison of Two Display Models for Collaborative Sensemaking. In: Proceedings of the 2Nd ACM International Symposium on Pervasive Displays. Proceedings of the 2Nd ACM International Symposium on Pervasive Displays. New York, NY, USA; 2013. p. 37–42. Available from: http://doi.acm.org/10.1145/2491568.2491577 Merged-PerDis_0423-realFinal.pdf (1.61 MB)
Dwyer T, Lee B, Fisher D, Quinn KI, Isenberg P, Robertson G, North C. A Comparison of User-Generated and Automatic Graph Layouts. IEEE Transactions on Visualization and Computer Graphics. 2009;15:961–968. PDF (2.16 MB)
North C, Shneiderman B. Component-based, user-constructed, multiple-view visualization. In: CHI '01: CHI '01 extended abstracts on Human factors in computing systems. CHI '01: CHI '01 extended abstracts on Human factors in computing systems. New York, NY, USA; 2001. p. 201–202.
Dowling M, Wenskovitch J, Hauck P, Binford A, Long T, Polys N, North C. Construction and Usage of the Semantic Interaction Pipeline. 2018:1-29. construction-usage-semantic.pdf (4.5 MB)
Li T, Luther K, North C. CrowdIA: Solving Mysteries with Crowdsourced Sensemaking. Proc. ACM Hum.-Comput. Interact. [Internet]. 2018;2. Available from: https://doi.org/10.1145/3274374 cscw105-liA.pdf (7.93 MB)
Li T, Shah A, Luther K, North C. Crowdsourcing Intelligence Analysis with Context Slices. In: CHI 2018 Workshop on Sensemaking in a Senseless World. CHI 2018 Workshop on Sensemaking in a Senseless World. ; 2018. p. . Connect_the_Dots_CHI 2018_sensemaking_final.pdf (927.85 KB)
Li T, Belghith Y, North C, Luther K. CrowdTrace: Visualizing Provenance in Distributed Sensemaking. In: IEEE VIS Short Papers. IEEE VIS Short Papers. ; 2020. p. 5 pages. CrowdTrace_VIS_Short_Paper_Submission-3.pdf (738.58 KB)
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Bian Y, North C. DeepSI: Interactive Deep Learning for Semantic Interaction. In: 26th International Conference on Intelligent User Interfaces (IUI ’21). 26th International Conference on Intelligent User Interfaces (IUI ’21). ; 2021. p. 197-207. IUI2021_DeepSI-2.pdf (1.9 MB)
Bian Y, Wenskovitch J, North C. DeepVA: Bridging Cognition and Computation through Semantic Interaction and Deep Learning. 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_2019-2.pdf (8.51 MB)
Norambuena BK, Mitra T, North C. Design guidelines for narrative maps in sensemaking tasks. Information Visualization. 2022:1-26. 14738716221079593 copy.pdf (903.83 KB)
Self JZ, Hu X, House L, Leman S, North C. Designing for Interactive Dimension Reduction Visual Analytics Tools to Explore High-Dimensional Data. Blacksburg; 2015 p. . jzself_vast2015_tech_report.pdf (3.65 MB)
Endert A, Bradel L, Zeitz J, Andrews C, North C. Designing large high-resolution display workspaces. In: Proceedings of the International Working Conference on Advanced Visual Interfaces. Proceedings of the International Working Conference on Advanced Visual Interfaces. New York, NY, USA; 2012. p. 58–65. Available from: http://doi.acm.org/10.1145/2254556.2254570 PDF.pdf (4.71 MB)
Self JZ, Hu X, House L, Leman S, North C. Designing Usable Interactive Visual Analytics Tools for Dimension Reduction. In: CHI 2016 Workshop on Human-Centered Machine Learning (HCML). CHI 2016 Workshop on Human-Centered Machine Learning (HCML). ; 2016. p. 7. Self_design_paper_final.pdf (626.44 KB)
Chung H, North C, Ferris J. Developing Large High-Resolution Display Visualizations of High-Fidelity Terrain Data. Journal of Computing and Information Science in Engineering [Internet]. 2013;13(3). Available from: http://dx.doi.org/10.1115/1.4024656 jcis_13_3_034502.pdf (2.1 MB) Ferris.pdf (5.48 MB)

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