Proceedings of the ACM Symposium on Applied Perception 2017
DOI: 10.1145/3119881.3119888
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Inferring cross-sections of 3D objects

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Cited by 8 publications
(5 citation statements)
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“…Regarding the lack of a third dimension in the ray casts view, we believe that allowing the user to manually segment the 3D topologies into 2D planar cross-sections would bring out the best in both visualizations [28] . This would both legitimize the use of the planar ray casts as a fully spatial visualization approach and make the topology view to provide better usability and require a lesser workload demand, besides allowing for the use of the other interaction techniques.…”
Section: Discussionmentioning
confidence: 99%
“…Regarding the lack of a third dimension in the ray casts view, we believe that allowing the user to manually segment the 3D topologies into 2D planar cross-sections would bring out the best in both visualizations [28] . This would both legitimize the use of the planar ray casts as a fully spatial visualization approach and make the topology view to provide better usability and require a lesser workload demand, besides allowing for the use of the other interaction techniques.…”
Section: Discussionmentioning
confidence: 99%
“…Their findings suggest that the SBST is an appropriate tool for characterizing spatial visualization challenges and strategies demonstrated by engineering students. Sanandaji et al (2017) modify the SBST by presenting participants with 3D stimuli and biological shapes relative to the 3D geometric shapes found in the SBST. Their study (n = 40) suggested that overall performance improved when participants could see objects rotating in 3D, and that inferring cross-sections of biological shapes is more difficult than pure geometric shapes.…”
Section: Assessment Of Penetrative Thinking Abilitymentioning
confidence: 99%
“…Objects in levels 1-9 were designed according to the difficulty guidelines used in the SBST (Cohen and Hegarty, 2012). Organic shapes used in levels 10-12 were based on work done by Sanandaji et al (2017) describing how organic and biological shapes pose a higher challenge than pure geometric shapes when inferring cross-sections.…”
Section: Vr-tei Condition and "Keep The Ball Rolling" Gameplaymentioning
confidence: 99%
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“…For example, while traditional spatial tests use black and white line drawings to depict shapes, the authors of the Santa Barbara Solids Test employed computer rendering to create shaded color figures for the stimulus material (Cohen and Hegarty, 2012). In a later iteration, researchers used video animations instead of static images to present the figures (Sanandaji et al, 2017). Researchers developed a gamified Mental Cutting Test for the Android mobile platform (Tóth et al, 2020) in which users had the option to display the shapes in augmented reality (AR) as a "lifeline" on difficult questions.…”
Section: Introductionmentioning
confidence: 99%