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Evaluating 2D and 3D Visualizations of Spatiotemporal Information
Uppsala University.
Uppsala university.
Högskolan i Gävle, Akademin för teknik och miljö, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, Datavetenskap.ORCID-id: 0000-0003-0085-5829
Uppsala University.
2010 (engelsk)Inngår i: ACM Transactions on Applied Perception, ISSN 1544-3558, E-ISSN 1544-3965, Vol. 7, nr 3, s. 19:1-19:23Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Time-varying geospatial data presents some specific challenges for visualization. Here, we report the results of three experiments aiming at evaluating the relative efficiency of three existing visualization techniques for a class of such data. The class chosen was that of object movement, especially the movements of vehicles in a fictitious landscape. Two different tasks were also chosen. One was to predict where three vehicles will meet in the future given a visualization of their past movement history. The second task was to estimate the order in which four vehicles arrived at a specific place. Our results reveal that previous findings had generalized human perception in these situations and that large differences in user efficiency exist for a given task between different types of visualizations depicting the same data. Furthermore, our results are in line with earlier general findings on the nature of human perception of both object shape and scene changes. Finally, the need for new taxonomies of data and tasks based on results from perception research is discussed.

sted, utgiver, år, opplag, sider
2010. Vol. 7, nr 3, s. 19:1-19:23
Emneord [en]
Experimentation, Human Factors, 2D, 3D, animation, space-time cube, spatiotemporal, user studies
HSV kategori
Identifikatorer
URN: urn:nbn:se:hig:diva-10273DOI: 10.1145/1773965.1773970ISI: 000279361800005OAI: oai:DiVA.org:hig-10273DiVA, id: diva2:442575
Tilgjengelig fra: 2011-09-21 Laget: 2011-09-21 Sist oppdatert: 2018-03-13bibliografisk kontrollert

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