@conference {DOI10.1109/VDS60365.2023.00009,
	title = {Aardvark: Comparative Visualization of Data Analysis Scripts},
	booktitle = {Symposium on Visualization in Data Science (VDS) at IEEE VIS},
	year = {2023},
	month = {10/2023},
	pages = {30-38},
	doi = {10.1109/VDS60365.2023.00009},
	author = {Faust, Rebecca and C. Scheidegger and North, Chris}
}
@conference {asee_peer_41168,
	title = {Andromeda in the Classroom: Collaborative Data Analysis for 8th Grade Engineering Design},
	booktitle = {2022 ASEE Annual Conference \& Exposition},
	year = {2022},
	note = {https://peer.asee.org/41168},
	month = {08/2022},
	publisher = {ASEE Conferences},
	organization = {ASEE Conferences},
	address = {Minneapolis, MN},
	author = {Mia Taylor and Danny Mathieson and House, Leanna and North, Chris}
}
@conference {DOI302,
	title = {Auto-Grading Jupyter Notebooks},
	booktitle = {SIGCSE 2020},
	year = {2020},
	month = {03/2020},
	author = {Hamza Manzoor and Amit Naik and Shaffer, Clifford A. and North, Chris and Stephen H. Edwards}
}
@conference {DOI294,
	title = {Albireo: An Interactive Tool for Visually Summarizing Computational Notebook Structure},
	booktitle = {2019 Symposium on Visualization in Data Science (VDS{\textquoteright}19)},
	year = {2019},
	month = {10/2019},
	author = {Wenskovitch, John and Zhao, Jian and Carter, Scott and Cooper, Matthew and North, Chris}
}
@article {DOI252,
	title = {AVIST: A GPU-Centric Design for Visual Exploration of Large Multidimensional Datasets},
	journal = {Informatics},
	volume = {3},
	year = {2016},
	month = {10/2016},
	pages = {18},
	publisher = {MDPI},
	edition = {Special Issue on Information Visualization for Massive Data},
	doi = {10.3390/informatics3040018},
	url = {http://www.mdpi.com/2227-9709/3/4/18},
	author = {Peng Mi and Sun, Maoyuan and Moeti Masiane and Yong Cao and North, Chris}
}
@article {DOI235,
	title = {Andromeda: Observation-Level and Parametric Interaction for Exploratory Data Analysis},
	year = {2015},
	institution = {Virginia Tech},
	type = {Technical Report},
	address = {Blacksburg},
	abstract = {Exploring high-dimensional
number of dimensions in datasets increases, it becomes harder to discover patterns and develop insights. Dimension reduction algorithms, such as multidimensional scaling, support data explorations by reducing datasets to two dimensions for visualization. Because these algorithms rely on underlying parameterizations, they may be tweaked to assess the data from multiple perspectives. Alas, tweaking can be difficult for users without a strong knowledge base of the underlying algorithms. We present Andromeda, an interactive visual analytics tool we developed to enable non-experts of statistical models to explore domain- specific, high-dimensional data. This application implements interactive weighted multidimensional scaling (WMDS) and allows for both parametric and observation- level interaction to provide in-depth data exploration. In this paper, we present the results of a controlled usability study assessing Andromeda. We focus on the comparison of parametric interaction, observation-level interaction and a combination of the two.},
	author = {Self, Jessica Zeitz and House, Leanna and Leman, Scotland and North, Chris}
}
@article {Rohrdantz11042013,
	title = {Augmenting the educational curriculum with the Visual Analytics Science and Technology Challenge: Opportunities and pitfalls},
	journal = {Information Visualization},
	volume = {13},
	year = {2014},
	pages = {313-325},
	abstract = {With its mission to move science into practice, the Visual Analytics Science and Technology Challenge has become an integrated part of the annual Visual Analytics Science and Technology Conference since its inception in 2006. In this article, we discuss how we can transfer this objective into a classroom setting by using the Visual Analytics Science and Technology Challenge datasets and by encouraging student submissions to the challenge. By means of Bloom{\textquoteright}s Taxonomy of Educational Objectives for Knowledge-Based Goals, we show how the Visual Analytics Science and Technology Challenge enables the integration of additional learning objectives into two types of courses: a dedicated course that focuses on the contest participation and an integrated course that uses the contest data to emphasize practical course elements. The core contribution of this article is that we assess the opportunities and pitfalls that we experienced at the University of Konstanz in Germany and Virginia Tech in the United States when augmenting the educational curriculum with the Visual Analytics Science and Technology Challenge.},
	doi = {10.1177/1473871613481693},
	author = {Rohrdantz, Christian and Mansmann, Florian and North, Chris and Keim, Daniel A}
}
@conference {DOI10.1109/ISI.2013.6578831,
	title = {Auto-Highlighter: Identifying Salient Sentences in Text},
	booktitle = {2013 IEEE International Conference on Intelligence and Security Informatics (ISI)},
	year = {2013},
	month = {6/2013},
	pages = {260 - 262},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Seattle, WA, USA},
	isbn = {978-1-4673-6214-6},
	doi = {10.1109/ISI.2013.6578831},
	author = {Self, Jessica Zeitz and Zeitz, Rebecca and North, Chris and Breitler, Alan L.}
}
@conference {DOI10.1109/VAST.2012.6400559,
	title = {Analyst{\textquoteright}s Workspace: An embodied sensemaking environment for large, high-resolution displays},
	booktitle = {2012 IEEE Conference on Visual Analytics Science and Technology (VAST)},
	year = {2012},
	pages = {123 - 131},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Seattle, WA, USA},
	abstract = {Distributed cognition and embodiment provide compelling models for how humans think and interact with the environment. Our examination of the use of large, high-resolution displays from an embodied perspective has lead directly to the development of a new sensemaking environment called Analyst{\textquoteright}s Workspace (AW). AW leverages the embodied resources made more accessible through the physical nature of the display to create a spatial workspace. By combining spatial layout of documents and other artifacts with an entity-centric, explorative investigative approach, AW aims to allow the analyst to externalize elements of the sensemaking process as a part of the investigation, integrated into the visual representations of the data itself. In this paper, we describe the various capabilities of AW and discuss the key principles and concepts underlying its design, emphasizing unique design principles for designing visual analytic tools for large, high-resolution displays.},
	isbn = {978-1-4673-4752-5},
	doi = {10.1109/VAST.2012.6400559},
	author = {Andrews, Christopher and North, Chris}
}
@conference {North:2011:APP:1979742.1979570,
	title = {Analytic provenance: process+interaction+insight},
	booktitle = {Proceedings of the 2011 annual conference extended abstracts on Human factors in computing systems},
	series = {CHI EA {\textquoteright}11},
	year = {2011},
	pages = {33{\textendash}36},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	keywords = {analytic provenance, user interaction, Visual Analytics, visualization},
	isbn = {978-1-4503-0268-5},
	doi = {http://doi.acm.org/10.1145/1979742.1979570},
	url = {http://doi.acm.org/10.1145/1979742.1979570},
	author = {North, Chris and Chang, Remco and Endert, Alex and Dou, Wenwen and May, Richard and Pike, Bill and Fink, G.}
}
@conference {2558,
	title = {Applying Embodied Interaction and  Usability Engineering to Visualization on  Large Displays},
	booktitle = {ACM British HCI - Workshop on Visualization \& Interaction},
	year = {2006},
	month = {10/2006},
	keywords = {Embodied Interaction, information visualization, LHRD},
	author = {Ball, Robert and Michael DellaNoce and Ni, Tao and Francis Quek and North, Chris}
}
@conference {108,
	title = {An Analysis of User Behavior on High-Resolution Tiled Displays},
	booktitle = {The Tenth IFIP International Conference on Human-Computer Interaction (INTERACT 2005)},
	year = {2005},
	month = {09/2005},
	publisher = {Springer Berlin / Heidelberg},
	organization = {Springer Berlin / Heidelberg},
	abstract = {<p>
	The use of multiple monitors for personal desktop computing is becoming more prevalent as the price of display technology decreases. The use of two monitors for a single desktop has been shown to have performance improvement in several studies. However, few studies have been performed with more than three monitors. As a result, we report an observational analysis of the use of a large tiled display containing nine monitors (in a 3x3 matrix). The total resolution of the large display is 3840x3072, for a total of 11,796,480 pixels. Over the course of six months we observed the behavior and actions of five users who used the display extensively as a desktop. We relate our observations, provide feedback concerning common usage of how people do and do not use the display, provide common scenarios and results of interviews, and give a series of design recommendations and guidelines for future designers of applications for high-resolution, tiled displays.</p>
},
	keywords = {Large High Resolution Display, User Behavior},
	doi = {10.1007/11555261_30},
	url = {http://dx.doi.org/10.1007/11555261_30},
	author = {Ball, Robert and North, Chris}
}
