A Comparison of Geographical Propagation Visualizations
| العنوان: | A Comparison of Geographical Propagation Visualizations |
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| المؤلفون: | Anastasia Bezerianos, Emmanuel Pietriga, Vanessa Peña-Araya |
| المساهمون: | Interacting with Large Data (ILDA), Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire de Recherche en Informatique (LRI), CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), ACM, Laboratoire de Recherche en Informatique (LRI), Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria) |
| المصدر: | CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems CHI '20-38th SIGCHI conference on Human Factors in computing systems CHI '20-38th SIGCHI conference on Human Factors in computing systems, Apr 2020, Honolulu, United States. pp.223:1--223:14, ⟨10.1145/3313831.3376350⟩ CHI |
| بيانات النشر: | HAL CCSD, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | Empirical data, Computer science, 05 social sciences, 020207 software engineering, 02 engineering and technology, Animation, computer.software_genre, Visualization, Task (computing), small-multiples, Dynamics (music), geo-temporal data, propagation, 0202 electrical engineering, electronic engineering, information engineering, Key (cryptography), 0501 psychology and cognitive sciences, Social media, Data mining, [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], computer, Empirical studies in visualization, 050107 human factors |
| الوصف: | International audience; Geographical propagation phenomena occur in multiple domains , such as in epidemiology and social media. Propagation dynamics are often complex, and visualizations play a key role in helping subject-matter experts understand and analyze them. However, there is little empirical data about the effectiveness of the various strategies used to visualize geographical propagation. To fill this gap, we conduct an experiment to evaluate the effectiveness of three strategies: an animated map, small-multiple maps, and a single map with glyphs. We compare them under five tasks that vary in one of the following dimensions: propagation scope, direction, speed, peaks, and spatial jumps. Our results show that small-multiple maps perform best overall, but that the effectiveness of each visualization varies depending on the task considered. |
| اللغة: | English |
| DOI: | 10.1145/3313831.3376350⟩ |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f5bee97d0c94156b66fb7000f3793dd https://hal.inria.fr/hal-02510038 |
| Rights: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....0f5bee97d0c94156b66fb7000f3793dd |
| قاعدة البيانات: | OpenAIRE |
| DOI: | 10.1145/3313831.3376350⟩ |
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