Zobrazeno 1 - 10
of 108
pro vyhledávání: '"Danielle Albers Szafir"'
Publikováno v:
IEEE Computer Graphics and Applications. 43:88-93
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6dbc30d374b9098ecd8964111a65bd69
https://doi.org/10.1109/mcg.2023.3246111
https://doi.org/10.1109/mcg.2023.3246111
Autor:
Dasha Pruss, Yoshinari Fujinuma, Ashlynn R Daughton, Michael J Paul, Brad Arnot, Danielle Albers Szafir, Jordan Boyd-Graber
Publikováno v:
PLoS ONE, Vol 14, Iss 5, p e0216922 (2019)
This work examines Twitter discussion surrounding the 2015 outbreak of Zika, a virus that is most often mild but has been associated with serious birth defects and neurological syndromes. We introduce and analyze a collection of 3.9 million tweets me
Externí odkaz:
https://doaj.org/article/2912c455711749f2a7447df49eae057a
Data is everywhere but may not be accessible to everyone. Conventional data visualization tools and guidelines often do not actively consider the specific needs and abilities of people with Intellectual and Developmental Disabilities (IDD), leaving t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aebb3637f013a8047056b3c81c2cf807
http://arxiv.org/abs/2303.05655
http://arxiv.org/abs/2303.05655
Autor:
Qian Zhang, Akshay Paruchuri, YoungWoon Cha, Jiabin Huang, Jade Kandel, Howard Jiang, Adrian Ilie, Andrei State, Danielle Albers Szafir, Daniel Szafir, Henry Fuchs
Publikováno v:
2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b5cf5988a346da09f00588d1596d8f1
https://doi.org/10.1109/vrw58643.2023.00025
https://doi.org/10.1109/vrw58643.2023.00025
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 28:987-997
Scatterplots can encode a third dimension by using additional channels like size or color (e.g. bubble charts). We explore a potential misinterpretation of trivariate scatterplots, which we call the weighted average illusion, where locations of large
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b8f7939031edfe34fcc23af30faf8b5
https://doi.org/10.1109/tvcg.2021.3114783
https://doi.org/10.1109/tvcg.2021.3114783
Scatterplots commonly use color to encode categorical data. However, as datasets increase in size and complexity, the efficacy of these channels may vary. Designers lack insight into how robust different design choices are to variations in category n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a472919747a82c303bd5bc28ae65e99
Autor:
Kyle Wm. Hall, Christopher Collins, Anastasia Bezerianos, Danielle Albers Szafir, Anthony Kouroupis
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics
IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers, 2021, 28 (1), pp.654-664. ⟨10.1109/TVCG.2021.3114805⟩
IEEE Transactions on Visualization and Computer Graphics, 2022, 28 (1), pp.654-664. ⟨10.1109/TVCG.2021.3114805⟩
IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers, 2021, 28 (1), pp.654-664. ⟨10.1109/TVCG.2021.3114805⟩
IEEE Transactions on Visualization and Computer Graphics, 2022, 28 (1), pp.654-664. ⟨10.1109/TVCG.2021.3114805⟩
Problem-driven visualization work is rooted in deeply understanding the data, actors, processes, and workflows of a target domain. However, an individual's personality traits and cognitive abilities may also influence visualization use. Diverse user
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::afdac6509174e496effc0ac9eedd8bf3
Autor:
Matt-Heun Hong, Lauren A. Marsh, Jessica L. Feuston, Janet Ruppert, Jed R. Brubaker, Danielle Albers Szafir
Interpretive scholars generate knowledge from text corpora by manually sampling documents, applying codes, and refining and collating codes into categories until meaningful themes emerge. Given a large corpus, machine learning could help scale this d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7898773492fee22e19d16b3b59ad1ab
http://arxiv.org/abs/2208.06133
http://arxiv.org/abs/2208.06133
Autor:
Cagatay Goncu, Danielle Albers Szafir, Kim Marriott, Kirsten Ellis, Kathleen F. McCoy, Matthew Butler, Edward Cutrell, Bongshin Lee, Marti A. Hearst
Publikováno v:
Interactions. 28:47-51
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01d6c470cd21a737f375e30048c57a04
https://doi.org/10.1145/3457875
https://doi.org/10.1145/3457875
Publikováno v:
Journal of Aerospace Information Systems. 18:26-49
This work examines the problem of fusing human operator observations with probabilistic information extracted by an automated data fusion system, in the context of dynamic multitarget track charact...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09199403a394fe170d6baf0110fcc5a8
https://doi.org/10.2514/1.i010832
https://doi.org/10.2514/1.i010832