Biblio

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Conference Paper
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)
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)
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.
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)
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)
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)
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)
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)
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.
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)
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, 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)
Prabhakar S, Conklin N, North C, Thirunavukkarasu M, Dandapani A, Panchanathan G. Breakdown visualization: multiple foci polyarchies of values and 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. 800–801.
Bradel L, Wycoff N, House L, North C. Big Text Visual Analytics in Sensemaking. In: IEEE International Symposium on Big Data Visual Analytics. IEEE International Symposium on Big Data Visual Analytics. ; 2015. p. 8 pages. BDVA_bingspire_v5c.pdf (3.34 MB)
Dowling M, Wenskovitch J, Hauck P, Binford A, Polys N, North C. A Bidirectional Pipeline for Semantic Interaction. In: VIS Workshop on Machine Learning from User Interaction for Visualization and Analytics. VIS Workshop on Machine Learning from User Interaction for Visualization and Analytics. ; 2018. p. . Pipeline.pdf (5.02 MB)
Yost B, Haciahmetoglu Y, North C. Beyond visual acuity: the perceptual scalability of information visualizations for 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. 101–110. PDF (1.11 MB)
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, 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)
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)
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)
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, Hossain MS, Gad S, Ramakrishnan N, North C. Analyst's workspace: Protecting vastopolis. In: Visual Analytics Science and Technology (VAST), 2011 IEEE Conference on. Visual Analytics Science and Technology (VAST), 2011 IEEE Conference on. ; 2011. p. 323-324. 06102495.pdf (4.22 MB)

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