TY - CONF T1 - Case Study Comparison of Computational Notebook Platforms for Interactive Visual Analytics T2 - Proceedings of Symposium on Visualization in Data Science (VDS) Y1 - 2022 A1 - Han Liu A1 - North, Chris JF - Proceedings of Symposium on Visualization in Data Science (VDS) ER - TY - CONF T1 - CrowdTrace: Visualizing Provenance in Distributed Sensemaking T2 - IEEE VIS Short Papers Y1 - 2020 A1 - Li, Tianyi A1 - Belghith, Yasmine A1 - North, Chris A1 - Luther, Kurt JF - IEEE VIS Short Papers ER - TY - CONF T1 - The Cognitive and Computational Benefits and Limitations of Clustering for Sensemaking T2 - CHI '18 Workshop on Sensemaking in a Senseless World Y1 - 2018 A1 - Wenskovitch, John A1 - Michelle Dowling A1 - North, Chris KW - clustering KW - exploratory data analysis KW - interaction KW - sensemaking KW - tasks KW - visualization AB - The cognitive process of sensemaking refers to acquiring, representing, and organizing information in order to understand that information. The organization component naturally supports the introduction of clusters, an important enabler for grouping objects such that similar objects are placed in the same cluster. This paper explores the benefits and limitations of introducing clusters into systems for exploratory data analysis. We consider these issues for tasks that the system may support, methods for visualizing and interacting with data in the system, and algorithms that are encoded into the system. We discuss the use of clusters in these systems with respect to cognition and computation, and we call out future areas of research in this area. JF - CHI '18 Workshop on Sensemaking in a Senseless World CY - Montreal, QC, Canada ER - TY - UNPB T1 - Construction and Usage of the Semantic Interaction Pipeline Y1 - 2018 A1 - Michelle Dowling A1 - Wenskovitch, John A1 - Peter Hauck A1 - Adam Binford A1 - Theo Long A1 - Nicholas Polys A1 - North, Chris AB - Semantic interaction techniques in visual data analytics allow users to indirectly adjust model parameters by directly manipulating the visual output of the models. Many existing tools that support semantic interaction do so with a number of similar features, including using an underlying bidirectional pipeline, using a series of statistical models, and performing inverse computations to transform user interactions into model updates. We propose a visual analytics pipeline that captures these necessary features of semantic interactions. Our flexible, multi-model, bidirectional pipeline has modular functionality to enable rapid prototyping. This enables quick alterations to the type of data being visualized, models for transforming the data, semantic interaction methods, and visual encodings. To demonstrate how this pipeline can be used, we developed a series of applications that employ semantic interactions. We also discuss how the pipeline can be used or extended for future research on semantic interactions in visual analytics. PB - InfoVis Lab, Virginia Tech CY - Blacksburg, VA ER - TY - JOUR T1 - CrowdIA: Solving Mysteries with Crowdsourced Sensemaking JF - Proc. ACM Hum.-Comput. Interact. Y1 - 2018 A1 - Li, Tianyi A1 - Luther, Kurt A1 - North, Chris KW - crowdsourcing KW - Intelligence Analysis KW - investigation KW - mysteries KW - sensemaking KW - text analytics PB - Association for Computing Machinery CY - New York, NY, USA VL - 2 UR - https://doi.org/10.1145/3274374 ER - TY - CONF T1 - Crowdsourcing Intelligence Analysis with Context Slices T2 - CHI 2018 Workshop on Sensemaking in a Senseless World Y1 - 2018 A1 - Li, Tianyi A1 - Asmita Shah A1 - Luther, Kurt A1 - North, Chris JF - CHI 2018 Workshop on Sensemaking in a Senseless World ER - TY - CONF T1 - A Comparison of Two Display Models for Collaborative Sensemaking T2 - Proceedings of the 2Nd ACM International Symposium on Pervasive Displays Y1 - 2013 A1 - Chung, Haeyong A1 - Chu, Sharon Lynn A1 - North, Chris KW - collaborative sensemaking KW - Display ecology KW - multiple displays KW - Visual Analytics JF - Proceedings of the 2Nd ACM International Symposium on Pervasive Displays T3 - PerDis '13 PB - ACM CY - New York, NY, USA SN - 978-1-4503-2096-2 UR - http://doi.acm.org/10.1145/2491568.2491577 ER - TY - CONF T1 - ChairMouse: leveraging natural chair rotation for cursor navigation on large, high-resolution displays T2 - Proceedings of the 2011 annual conference extended abstracts on Human factors in computing systems Y1 - 2011 A1 - Endert, Alex A1 - Fiaux, Patrick A1 - Chung, Haeyong A1 - Stewart, Michael A1 - Andrews, Christopher A1 - North, Chris KW - Embodied Interaction KW - interaction design KW - large display AB - Large, high-resolution displays lead to more spatially based approaches. In such environments, the cursor (and hence the physical mouse) is the primary means of interaction. However, usability issues occur when standard mouse interaction is applied to workstations with large size and high pixel density. Previous studies show users navigate physically when interacting with information on large displays by rotating their chair. ChairMouse captures this natural chair movement and translates it into large-scale cursor movement while still maintaining standard mouse usage for local cursor movement. ChairMouse supports both active and passive use, reducing tedious mouse interactions by leveraging physical chair action. JF - Proceedings of the 2011 annual conference extended abstracts on Human factors in computing systems T3 - CHI EA '11 PB - ACM CY - New York, NY, USA SN - 978-1-4503-0268-5 UR - http://doi.acm.org/10.1145/1979742.1979628 ER - TY - CONF T1 - Co-located Collaborative Sensemaking on a Large High-Resolution Display with Multiple Input Devices T2 - INTERACT 2011 Y1 - 2011 A1 - Katherine Vogt A1 - Lauren Bradel A1 - Andrews, Christopher A1 - North, Chris A1 - Endert, Alex A1 - Duke Hutchings KW - co-located KW - CSCW KW - Large High Resolution Display KW - large high-resolution display KW - sensemaking KW - Visual Analytics JF - INTERACT 2011 CY - Lisbon, Portugal VL - 6947 SN - 978-3-642-23771-3 ER - TY - JOUR T1 - A comparison of benchmark task and insight evaluation methods for information visualization JF - Information Visualization Y1 - 2011 A1 - North, Chris A1 - Saraiya, Purvi A1 - Duca, Karen VL - 10 IS - 3 JO - Information Visualization ER - TY - CONF T1 - Co-located Many-Player Gaming on Large High-Resolution Displays T2 - Computational Science and Engineering, 2009. CSE '09. International Conference on Y1 - 2009 A1 - Machaj, D. A1 - Andrews, Christopher A1 - North, Chris KW - colocated many-player gaming KW - computer games KW - human computer interaction KW - interactive devices KW - large high-resolution displays KW - multiplayer gaming JF - Computational Science and Engineering, 2009. CSE '09. International Conference on VL - 4 ER - TY - JOUR T1 - A Comparison of User-Generated and Automatic Graph Layouts JF - IEEE Transactions on Visualization and Computer Graphics Y1 - 2009 A1 - Dwyer, Tim A1 - Lee, Bongshin A1 - Fisher, Danyel A1 - Quinn, Kori Inkpen A1 - Isenberg, Petra A1 - Robertson, George A1 - North, Chris PB - IEEE Educational Activities Department CY - Piscataway, NJ, USA VL - 15 ER - TY - CONF T1 - Component-based, user-constructed, multiple-view visualization T2 - CHI '01: CHI '01 extended abstracts on Human factors in computing systems Y1 - 2001 A1 - North, Chris A1 - Shneiderman, Ben JF - CHI '01: CHI '01 extended abstracts on Human factors in computing systems PB - ACM CY - New York, NY, USA SN - 1-58113-340-5 ER -