Visualizing 3D imagery by mouth using candy-like models
| Autor: | Surabi V. Naidu, Lillian R. Carter, Juan J. Lopez, Bryan F. Shaw, Sanjana Rajendran, Kathleen M. Carleton, Cheyanne J. Eisenmann, Miguel A. Iglesias, Katelyn M. Baumer |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Multidisciplinary
Protein molecules Computer science business.industry 05 social sciences 050301 education Kinesthetic learning SciAdv r-articles Rice grain 3d model 050105 experimental psychology Visualization 0501 psychology and cognitive sciences Computer vision Artificial intelligence business 0503 education Mobile device Computer animation Tactile sensor Research Articles Research Article Neuroscience |
| Zdroj: | Science Advances |
| ISSN: | 2375-2548 |
| Popis: | Edible and nonedible models of complex 3D imagery can be identified by mouth at accuracies equivalent to eyesight. Handheld models help students visualize three-dimensional (3D) objects, especially students with blindness who use large 3D models to visualize imagery by hand. The mouth has finer tactile sensors than hand, which could improve visualization using microscopic models that are portable, inexpensive, and disposable. The mouth remains unused in tactile learning. Here, we created bite-size 3D models of protein molecules from “gummy bear” gelatin or nontoxic resin. Models were made as small as rice grain and could be coded with flavor and packaged like candy. Mouth, hands, and eyesight were tested at identifying specific structures. Students recognized structures by mouth at 85.59% accuracy, similar to recognition by eyesight using computer animation. Recall accuracy of structures was higher by mouth than hand for 40.91% of students, equal for 31.82%, and lower for 27.27%. The convenient use of entire packs of tiny, cheap, portable models can make 3D imagery more accessible to students. |
| Databáze: | OpenAIRE |
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