viskillz-blender—A Python package to generate assets of Mental Cutting Test exercises using Blender
Several different methods are used to test the spatial abilities or visual skills of people. One of them is the Mental Cutting Test (MCT), the exercises of which offer a 2D projection of a 3D shape and a 2D plane, and testees should determine the shape of their intersection. MCT exercises need vario...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-05-01
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| Series: | SoftwareX |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352711023000249 |
| _version_ | 1797818621785800704 |
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| author | Róbert Tóth Bálint Tóth Miklós Hoffmann Marianna Zichar |
| author_facet | Róbert Tóth Bálint Tóth Miklós Hoffmann Marianna Zichar |
| author_sort | Róbert Tóth |
| collection | DOAJ |
| description | Several different methods are used to test the spatial abilities or visual skills of people. One of them is the Mental Cutting Test (MCT), the exercises of which offer a 2D projection of a 3D shape and a 2D plane, and testees should determine the shape of their intersection. MCT exercises need various 2D and 3D assets that should be developed before publishing a test. In recent decades, very few exercises have been available to instructors and researchers. In 2019, we published our first solution that could be used to calculate the intersections of MCT scenarios, then render or export their assets using Blender. This paper proposes an extended, open-source package for Blender that generates assets of MCT exercises by permuting predefined shapes, cutting planes, rotation, and scale operators. The additional wrapper script helps users use the package for various purposes, such as developing exercise offering methods, designing exercises, practicing, or organizing exams and measurements. |
| first_indexed | 2024-03-13T09:11:49Z |
| format | Article |
| id | doaj.art-1403d882d031419dad69b3d8f905ba69 |
| institution | Directory Open Access Journal |
| issn | 2352-7110 |
| language | English |
| last_indexed | 2024-03-13T09:11:49Z |
| publishDate | 2023-05-01 |
| publisher | Elsevier |
| record_format | Article |
| series | SoftwareX |
| spelling | doaj.art-1403d882d031419dad69b3d8f905ba692023-05-27T04:25:41ZengElsevierSoftwareX2352-71102023-05-0122101328viskillz-blender—A Python package to generate assets of Mental Cutting Test exercises using BlenderRóbert Tóth0Bálint Tóth1Miklós Hoffmann2Marianna Zichar3Faculty of Informatics, University of Debrecen, Debrecen, Hungary; Doctoral School of Informatics, University of Debrecen, Debrecen, Hungary; Corresponding author at: Faculty of Informatics, University of Debrecen, Debrecen, Hungary.Faculty of Economics, University of Debrecen, Debrecen, HungaryFaculty of Informatics, University of Debrecen, Debrecen, Hungary; Faculty of Informatics, Eszterházy Károly University, Eger, HungaryFaculty of Informatics, University of Debrecen, Debrecen, HungarySeveral different methods are used to test the spatial abilities or visual skills of people. One of them is the Mental Cutting Test (MCT), the exercises of which offer a 2D projection of a 3D shape and a 2D plane, and testees should determine the shape of their intersection. MCT exercises need various 2D and 3D assets that should be developed before publishing a test. In recent decades, very few exercises have been available to instructors and researchers. In 2019, we published our first solution that could be used to calculate the intersections of MCT scenarios, then render or export their assets using Blender. This paper proposes an extended, open-source package for Blender that generates assets of MCT exercises by permuting predefined shapes, cutting planes, rotation, and scale operators. The additional wrapper script helps users use the package for various purposes, such as developing exercise offering methods, designing exercises, practicing, or organizing exams and measurements.http://www.sciencedirect.com/science/article/pii/S2352711023000249BlenderMental Cutting TestSpatial skillsAssets |
| spellingShingle | Róbert Tóth Bálint Tóth Miklós Hoffmann Marianna Zichar viskillz-blender—A Python package to generate assets of Mental Cutting Test exercises using Blender SoftwareX Blender Mental Cutting Test Spatial skills Assets |
| title | viskillz-blender—A Python package to generate assets of Mental Cutting Test exercises using Blender |
| title_full | viskillz-blender—A Python package to generate assets of Mental Cutting Test exercises using Blender |
| title_fullStr | viskillz-blender—A Python package to generate assets of Mental Cutting Test exercises using Blender |
| title_full_unstemmed | viskillz-blender—A Python package to generate assets of Mental Cutting Test exercises using Blender |
| title_short | viskillz-blender—A Python package to generate assets of Mental Cutting Test exercises using Blender |
| title_sort | viskillz blender a python package to generate assets of mental cutting test exercises using blender |
| topic | Blender Mental Cutting Test Spatial skills Assets |
| url | http://www.sciencedirect.com/science/article/pii/S2352711023000249 |
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