Information
- Publication Type: Conference Paper
- Workgroup(s)/Project(s):
- Date: October 2020
- Lecturer: Renata Raidou
- Event: IEEE Vis 2020
- Call for Papers: Call for Paper
- Booktitle: IEEE Vis Short Papers 2020
- Pages: 1 – 5
- Keywords: Data Physicalization, Medical Visualization, Anatomical Education
Abstract
Physical visualizations (i.e., data representations by means of physical objects) have been used for many centuries in medical and anatomical education. Recently, 3D printing techniques started also to emerge. Still, other medical physicalizations that rely on affordable and easy-to-find materials are limited, while smart strategies that take advantage of the optical properties of our physical world have not been thoroughly investigated. We propose the Anatomical Edutainer, a workflow to guide the easy, accessible, and affordable generation of physicalizations for tangible, interactive anatomical edutainment. The Anatomical Edutainer supports 2D printable and 3D foldable physicalizations that change their visual properties (i.e., hues of the visible spectrum) under colored lenses or colored lights, to reveal distinct anatomical structures through user interaction.
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BibTeX
@inproceedings{schindler_2020vis,
title = "The Anatomical Edutainer",
author = "Marwin Schindler and Hsiang-Yun Wu and Renata Raidou",
year = "2020",
abstract = "Physical visualizations (i.e., data representations by means
of physical objects) have been used for many centuries in
medical and anatomical education. Recently, 3D printing
techniques started also to emerge. Still, other medical
physicalizations that rely on affordable and easy-to-find
materials are limited, while smart strategies that take
advantage of the optical properties of our physical world
have not been thoroughly investigated. We propose the
Anatomical Edutainer, a workflow to guide the easy,
accessible, and affordable generation of physicalizations
for tangible, interactive anatomical edutainment. The
Anatomical Edutainer supports 2D printable and 3D foldable
physicalizations that change their visual properties (i.e.,
hues of the visible spectrum) under colored lenses or
colored lights, to reveal distinct anatomical structures
through user interaction.",
month = oct,
event = "IEEE Vis 2020",
booktitle = "IEEE Vis Short Papers 2020",
pages = "1--5",
keywords = "Data Physicalization, Medical Visualization, Anatomical
Education",
URL = "https://www.cg.tuwien.ac.at/research/publications/2020/schindler_2020vis/",
}