@conference {DOI10.1109/ISMAR59233.2023.00126,
	title = {Uncovering Best Practices in Immersive Space to Think},
	booktitle = {2023 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)},
	year = {2023},
	month = {10/2023},
	pages = {1094-1103},
	doi = {10.1109/ISMAR59233.2023.00126},
	author = {Kylie Davidson and Lee Lisle and Tahmid, Ibrahim A. and Whitley, Kirsten and North, Chris and Bowman, Doug A.}
}
@proceedings {kodali2019uncertainty,
	title = {Uncertainty in Interactive WMDS Visualizations},
	journal = {2019 Symposium on Visualization in Data Science Posters},
	year = {2019},
	address = {Vancouver, BC, Canada},
	abstract = {Visualizations are useful when learning from high-dimensional data. However, visualizations can be misleading when they do not incorporate measures of uncertainty; e.g., uncertainty from the data or the dimension reduction algorithm used to create the visual display. In our work, we extend a framework called Bayesian Visual Analytics (BaVA) on a dimension reduction algorithm, Weighted Multidimensional Scaling (WMDS), to incorporate uncertainty as analysts explore data visually. BaVA-WMDS visualizations are interactive, and possible interactions include manipulating variable weights and/or the coordinates of the two-dimensional projection. Uncertainty exists in these visualizations on the variable weights, the user interactions, and the fit of WMDS. We quantify these uncertainties using Bayesian models exploring randomness in both coordinates and weights in a method we call Interactive Probabilistic WMDS (IP-WMDS). Specifically, we use posterior estimates to assess fit of WMDS, the range of motion of coordinates, as well as variability in weights. Visually, we display such uncertainty in the form of color and ellipses, and practically, these uncertainties reflect trust in fitting a dimension reduction algorithm. Our results show that these displays of uncertainty highlight different aspects of the visualization, which can help inform analysts.},
	keywords = {poster},
	author = {Lata Kodali and Wenskovitch, John and Nathan Wycoff and House, Leanna and North, Chris}
}
@conference {DOI246,
	title = {Usability Challenges underlying Bicluster Interaction for Sensemaking},
	booktitle = {CHI 2016 Workshop on Human Centred Machine Learning},
	year = {2016},
	month = {05/2016},
	pages = {6 pages},
	author = {Sun, Maoyuan and Peng Mi and Hao Wu and North, Chris and Ramakrishnan, Naren}
}
@conference {123,
	title = {Unifying the Sensemaking Loop with Semantic Interaction},
	booktitle = {IEEE Workshop on Interactive Visual Text Analytics for Decision Making at VisWeek 2011},
	year = {2011},
	month = {10/2011},
	address = {Providence, RI},
	keywords = {Visual Analytics},
	author = {Endert, Alex and Fiaux, Patrick and North, Chris}
}
@conference {1616257,
	title = {Understanding Multi-touch Manipulation for Surface Computing},
	booktitle = {INTERACT {\textquoteright}09: Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction},
	year = {2009},
	pages = {236{\textendash}249},
	publisher = {Springer-Verlag},
	organization = {Springer-Verlag},
	address = {Berlin, Heidelberg},
	isbn = {978-3-642-03657-6},
	doi = {http://dx.doi.org/10.1007/978-3-642-03658-3_31},
	author = {North, Chris and Dwyer, Tim and Lee, Bongshin and Fisher, Danyel and Isenberg, Petra and Robertson, George and Inkpen, Kori}
}
@article {1324740,
	title = {Unification of problem solving environment implementation layers with XML-based specifications},
	journal = {Adv. Eng. Softw.},
	volume = {39},
	number = {3},
	year = {2008},
	pages = {189{\textendash}201},
	publisher = {Elsevier Science Ltd.},
	address = {Oxford, UK, UK},
	keywords = {databases, problem solving, XML},
	issn = {0965-9978},
	doi = {http://dx.doi.org/10.1016/j.advengsoft.2007.02.005},
	author = {Shu, Jiang and Watson, Layne T. and Ramakrishnan, Naren and Kamke, Frederick A. and North, Chris}
}
@mastersthesis {931491,
	title = {A user interface for coordinating visualizations based on relational schemata: snap-together visualization},
	year = {2000},
	note = {Chair-Shneiderman, Ben},
	school = {University of Maryland at College Park},
	type = {phd},
	address = {College Park, MD, USA},
	isbn = {0-599-72609-1},
	author = {North, Chris}
}
@article {300823,
	title = {User controlled overviews of an image library: a case study of the visible human},
	year = {1999},
	pages = {570{\textendash}578},
	publisher = {Morgan Kaufmann Publishers Inc.},
	address = {San Francisco, CA, USA},
	isbn = {1-55860-533-9},
	author = {North, Chris and Shneiderman, Ben and Plaisant, Catherine}
}
@conference {226946,
	title = {User controlled overviews of an image library: a case study of the visible human},
	booktitle = {DL {\textquoteright}96: Proceedings of the first ACM international conference on Digital libraries},
	year = {1996},
	pages = {74{\textendash}82},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	isbn = {0-89791-830-4},
	doi = {http://doi.acm.org/10.1145/226931.226946},
	author = {North, Chris and Shneiderman, Ben and Plaisant, Catherine}
}
