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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
