- @article{SamselZellerAbramKeefe21,
- title={Affective Palettes For Scientific Visualization: Grounding Environmental Data In The Natural World},
- journal={not yet available, IEEE VisApp},
- author={Francesca Samsel, Stephanie Zeller, Daniel F. Keefe, and Greg Abram},
- year={2021}
- }
(2021).not yet available, IEEE VisApp
(cite)
- @article{Abram_Samsel_Petersen_Asay-Davis_Comeau_Price_Potel_2021,
- title={Antarctic Water Masses and Ice Shelves: Visualizing the Physics},
- volume={41},
- url={https://ieeexplore.ieee.org/document/9325139/},
- DOI={10.1109/MCG.2020.3044228},
- number={1},
- journal={IEEE Computer Graphics and Applications},
- author={Abram, Greg and Samsel, Francesca and Petersen, Mark R. and Asay-Davis, Xylar and Comeau, Darin and Price, Stephen F. and Potel, Mike},
- year={2021},
- month={Jan},
- pages={35–41}
- }
(2021).IEEE Computer Graphics and Applications vol. 41 no. 1 (35–41)
(cite)
- @inproceedings{PearcVideo,
- author = {Francesca Samsel and Gregory Abram and Phillip Wolfram },
- title = {The Visualizing Ocean Biogeochemistry in the Gulf of Mexico: Seeking Locations for Cultivating Microalgae},
- year = {2021},
- publisher = {ACM},
- journal = {Video, PEARC'21}
- }
(2021).Video, PEARC'21
(cite)
- @ARTICLE{9325131,
- author={Szafir, Danielle Albers and Samsel, Francesca and Zeller, Stephanie and Saltus, Rick},
- journal={IEEE Computer Graphics and Applications},
- title={Enabling Crosscutting Visualization for Geoscience},
- year={2021},
- volume={41},
- number={1},
- pages={49-57},
- doi={10.1109/MCG.2020.3043982}}
(2021).IEEE Computer Graphics and Applications vol. 41 no. 1 (49-57)
(cite)
- @ARTICLE{9325135, author={Singh, Gary}, journal={IEEE Computer Graphics and Applications}, title={From Human Hands}, year={2021}, volume={41}, number={1}, pages={5-7}, doi={10.1109/MCG.2020.3043985}}
(2021).IEEE Computer Graphics and Applications vol. 41 no. 1 (5-7)
(cite)
- @article{10.1145/3488542,
- author = {Herman, Bridger and Omdal, Maxwell and Zeller, Stephanie and Richter, Clara A. and Samsel, Francesca and Abram, Greg and Keefe, Daniel F.},
- title = {Multi-Touch Querying on Data Physicalizations in Immersive AR},
- year = {2021},
- issue_date = {November 2021},
- publisher = {Association for Computing Machinery},
- address = {New York, NY, USA},
- volume = {5},
- number = {ISS},
- url = {https://doi.org/10.1145/3488542},
- doi = {10.1145/3488542},
- abstract = {Data physicalizations (3D printed terrain models, anatomical scans, or even abstract data) can naturally engage both the visual and haptic senses in ways that are difficult or impossible to do with traditional planar touch screens and even immersive digital displays. Yet, the rigid 3D physicalizations produced with today's most common 3D printers are fundamentally limited for data exploration and querying tasks that require dynamic input (e.g., touch sensing) and output (e.g., animation), functions that are easily handled with digital displays. We introduce a novel style of hybrid virtual + physical visualization designed specifically to support interactive data exploration tasks. Working toward a "best of both worlds" solution, our approach fuses immersive AR, physical 3D data printouts, and touch sensing through the physicalization. We demonstrate that this solution can support three of the most common spatial data querying interactions used in scientific visualization (streamline seeding, dynamic cutting places, and world-in-miniature visualization). Finally, we present quantitative performance data and describe a first application to exploratory visualization of an actively studied supercomputer climate simulation data with feedback from domain scientists.},
- journal = {Proc. ACM Hum.-Comput. Interact.},
- month = {nov},
- articleno = {497},
- numpages = {20},
- keywords = {tangible user interfaces, mixed reality, data physicalization}
- }
(2021).Proc. ACM Hum.-Comput. Interact. vol. 5 no. ISS
(cite)
- @inproceedings{weissman2020poster,
- title={Poster: Automatic Generation of Data Legends for 3D Multi-Variate Artist Driven Visualizations},
- author={Weissman, Claire and Herman, Bridger and Zeller, Stephanie and Samsel, Francesca and Keefe, Daniel F},
- booktitle={IEEE Visualization},
- year={2020}
- }
(2020).
(cite)
- @inproceedings{10.1145/3311790.3396667,
- author = {Zeller, Stephanie and Samsel, Francesca and Nav\'{a}rtil, Paul},
- title = {Environmental Visualization: Moving Beyond the Rainbows},
- year = {2020},
- isbn = {9781450366892},
- publisher = {Association for Computing Machinery},
- address = {New York, NY, USA},
- url = {https://doi.org/10.1145/3311790.3396667},
- doi = {10.1145/3311790.3396667},
- abstract = {Pseudo-coloring is a well-established, fundamental tool for visualizing scientific
- data. As the size and density of data grows, increasingly more discriminatory power
- is required to extract optimum feature resolution. The environmental community, in
- particular, relies heavily on this technology to dissect and interpret a huge variety
- of visual data. These scientists often turn to traditional rainbow colormaps, despite
- their well-documented deficiencies in rendering dense detail. A popular default, the
- desaturated rainbow’s non-monotonically varying luminance range misrepresents data.
- Despite increasing overall feature resolution, this variance creates hue simultaneity
- and vibration, introducing false artifacts, hindering exploration of swaths of data
- and impeding analysis [13, 21, 26]. Drawing on artistic color theory, we hypothesized
- the desaturated rainbow could be improved by increasing luminance ranges, decreasing
- saturation, and employing hue-cycling to boost discriminatory power. These adjusted
- maps exhibit algorithmically corroborated higher feature resolve, a primary objective
- of all scientists interviewed, without distorting data in discordant false coloring.
- Our studies indicate that our maps are preferred by these domain scientists, thereby
- providing a potential alternative for effective, human-centric colormapping.},
- booktitle = {Practice and Experience in Advanced Research Computing},
- pages = {321–326},
- numpages = {6},
- keywords = {design, visualization, color theory, colormaps},
- location = {Portland, OR, USA},
- series = {PEARC '20}
- }
(2020).(321–326)
(cite)
- @inproceedings{SamselKeefHermanZeller20,
- title={Poster: Human Fingerprints and Artistic Vocabulary; Rendering Data, Creating Engagement, Connection and Context to Earth System Models},
- author={Francesca Samsel, Daniel Keefe, Bridger Herman, Greg Abram},
- journal={Poster at AGU'20},
- year={2020}
- }
(2020).Poster at AGU'20
(cite)
- @INPROCEEDINGS{9308002, author={Herman, Bridger and Samsel, Francesca and Bares, Annie and Johnson, Seth and Abram, Greg and Keefe, Daniel F.}, booktitle={2020 IEEE VIS Arts Program (VISAP)}, title={Printmaking, Puzzles, and Studio Closets: Using Artistic Metaphors to Reimagine the User Interface for Designing Immersive Visualizations}, year={2020}, volume={}, number={}, pages={19-28}, doi={10.1109/VISAP51628.2020.00009}}
(2020).vol. no. (19-28)
(cite)
- @phdthesis{sethdiss,
- author={Johnson,Seth A.},
- year={2020},
- title={Palpable Visualizations: Techniques for Creatively Designing Discernible and Accessible Visualizations Grounded in the Physical World},
- journal={ProQuest Dissertations and Theses},
- pages={217},
- note={Copyright - Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works; Last updated - 2021-05-22},
- abstract={This dissertation investigates techniques to leverage creative processes like sketching, sculpting, and design iteration to improve the discernibility and accessibility of immersive volumetric data visualizations. Discernible visualizations support a viewer's ability to make sense of complexities such as multi-dimensional climate or engineering simulation data. Accessible data visualization both supports the contribution of previously under-utilized design expertise (i.e. artist-accessible visualization design), and subsequently provides access for a broad audience to engage with data through an emphasis on human connection and support for a wide range of displays. Such visualizations aim to provide a palpable, data-driven experience for scientists, artists, and the public. Three early works are presented as a rationale for investigating Palpable Visualizations. Bento Box, an immersive visualization system for comparing multiple time-varying volumetric simulation ensemble instances, demonstrates a current state-of-the-art for scientific data visualization. Weather Report, an interactive site-specific artwork visualizing six decades of weather data, takes an in-depth look at what can be accomplished when designing data-driven experiences in close collaboration with professional designers. And Lift-Off, a VR-based modeling program designed for artists, shows how creative sketching in both the physical and virtual worlds can result in a more accessible environment for both scientific and design-oriented tasks. Based on observations from these three prior works, we present Artifact-Based Rendering (ABR), a framework of algorithms and processes that makes it possible to produce real, data-driven 3D scientific visualizations with a visual language derived entirely from colors, lines, textures, and forms created using traditional physical media or found in nature. ABR addresses three current needs: (i) designing better visualizations by making it accessible for non-programmers to rapidly design and critique many alternative data-to-visual mappings; (ii) expanding the visual vocabulary used in scientific visualizations to enable discernment of increasingly complex multivariate data; (iii) bringing a more engaging, natural, and human-relatable handcrafted aesthetic to data visualization to make the resulting data-driven images more accessible and discernible to the viewer. Finally, we support the accessibility of visualizations through a data streaming and remote rendering pipeline, culminating in demonstrations bridging live supercomputer simulation data with untethered affordable head-mounted AR/VR displays.},
- keywords={3D user interfaces; Virtual reality; Visualization; Computer science; 0984:Computer science},
- isbn={9798662501805},
- language={English},
- url={http://ezproxy.lib.utexas.edu/login?url=https://www.proquest.com/dissertations-theses/palpable-visualizations-techniques-creatively/docview/2436788603/se-2?accountid=7118},
- }
(2020).ProQuest Dissertations and Theses (217)
(cite)
- @inproceedings{SC21Antarctic,
- author = {J. Patchett, F. Samsel, K. Rigel, G. Abram, N. Woods, D. Lipsa, M. Hoffman, S. Price, M. Petersen, T. Zhang, X. Asay- Davis },
- title = {Scientific Visualization of Antarctica Ice Sheet and Southern Ocean Evolution},
- published = {Supercomputing Scientific Visualization and data Analytics Competition, SC 2020 },
- year = {2020},
- }
(2020).
(cite)
- @ARTICLE{Johnson-2019-ABR,
- author={Seth Johnson and Francesca Samsel and Gregory Abram and Daniel Olson and Andrew J. Solis and Bridger Herman and Phillip J. Wolfram and Christophe Lenglet and Daniel F. Keefe},
- title={Artifact-Based Rendering: Harnessing Natural and Traditional Visual Media for More Expressive and Engaging 3D Visualizations},
- journal={IEEE Transactions on Visualization and Computer Graphics},
- year={2019},
- url={https://arxiv.org/pdf/1907.13178.pdf},
- doi={10.1109/TVCG.2019.2934260},
- }
(2019).IEEE Transactions on Visualization and Computer Graphics
(cite)
- @INPROCEEDINGS{9046053,
- author={Samsel, Francesca and Bartram, Lyn and Bares, Annie},
- journal={2018 IEEE VIS Arts Program (VISAP)},
- title={Art, Affect and Color: Creating Engaging Expressive Scientific Visualization},
- year={2018}, pages={1-9}, doi={10.1109/VISAP45312.2018.9046053}}
(2018).2018 IEEE VIS Arts Program (VISAP) (1-9)
(cite)
- @ARTICLE{8939459, author={Nardini, Pascal and Chen, Min and Samsel, Francesca and Bujack, Roxana and Böttinger, Michael and Scheuermann, Gerik}, journal={IEEE Transactions on Visualization and Computer Graphics}, title={The Making of Continuous Colormaps}, year={2021}, volume={27}, number={6}, pages={3048-3063}, doi={10.1109/TVCG.2019.2961674}}
(2021).IEEE Transactions on Visualization and Computer Graphics vol. 27 no. 6 (3048-3063)
(cite)
- @INPROCEEDINGS{Samsel-2019-Enriching,
- author={Francesca Samsel and Annie Bares and Seth Johnson and Daniel F. Keefe},
- year={2019},
- title={Enriching Vocabulary via the Human Hand},
- howpublished={IEEE VIS Arts Program 2019},
- paperlink={https://www.sculpting-vis.org/wp-content/uploads/2020/01/VISAP_2019-FS-5-19v2-copy.pdf},
- abstract={As scientific data grow larger and more complex, an equally rich visual vocabulary is needed to fully articulate its insights. We present a series of images that are made possible by a recent technical development “Artifact-Based Rendering,” a component of our broader effort to create a methodology for scientific visualization that draws on principles of art and design.},
- projects={sculpting-vis}
- }
(2019).
(cite)
- @inproceedings{inproceedings,
- author = {Bares, Annie and Zeller, Stephanie and Jackson, Cullen and Keefe, Daniel and Samsel, Francesca},
- year = {2020},
- month = {10},
- pages = {29-37},
- title = {Using Close Reading as a Method for Evaluating Visualizations},
- doi = {10.1109/BELIV51497.2020.00011}
- }
(2020).(29-37)
(cite)
- @ARTICLE{8309996,
- author={Samsel, Francesca and Klaassen, Sebastian and Rogers, David H.},
- journal={IEEE Computer Graphics and Applications},
- title={ColorMoves: Real-time Interactive Colormap Construction for Scientific Visualization},
- year={2018},
- volume={38},
- number={1},
- pages={20-29},
- doi={10.1109/MCG.2018.011461525}}
(2018).IEEE Computer Graphics and Applications vol. 38 no. 1 (20-29)
(cite)
- @inproceedings{10.2312/eurovisshort.20171141,
- author = {Lange, D. and Samsel, F. and Karamouzas, I. and Guy, S. J. and Dockter, R. and Kowalewski, T. and Keefe, D. F.},
- title = {Trajectory Mapper: Interactive Widgets and Artist-Designed Encodings for Visualizing Multivariate Trajectory Data},
- year = {2017},
- publisher = {Eurographics Association},
- address = {Goslar, DEU},
- url = {https://doi.org/10.2312/eurovisshort.20171141},
- doi = {10.2312/eurovisshort.20171141},
- booktitle = {Proceedings of the Eurographics/IEEE VGTC Conference on Visualization: Short Papers},
- pages = {103–107},
- numpages = {5},
- location = {Barcelona, Spain},
- series = {EuroVis '17}
- }
(2017).(103–107)
(cite)
- @ARTICLE{7185456,
- author={Schroeder, David and Keefe, Daniel F.},
- journal={IEEE Transactions on Visualization and Computer Graphics},
- title={Visualization-by-Sketching: An Artist's Interface for Creating Multivariate Time-Varying Data Visualizations},
- year={2016},
- volume={22},
- number={1},
- pages={877-885},
- doi={10.1109/TVCG.2015.2467153}}
(2016).IEEE Transactions on Visualization and Computer Graphics vol. 22 no. 1 (877-885)
(cite)