Yuliya Chystaya
Yuliya Chystaya holds a range of digital technical skills, such as 3D modelling, animation, interactive application development, as well as a strong knowledge of human anatomy. She also has background in visual culture and photography.
Yuliya volunteers for the charity Migrant Voice, where she provides support for other volunteers, refugees, and migrants. She creates visual content for the website and social media and writes pitches for the journalists.
Master’s Project: AR and 3D-based mobile application exploring brain anatomy
Neuroanatomy is the section of anatomy that many students find especially challenging. This phenomenon was defined by Ralph F. Jozefovicz as “Neurophobia”. To master neuroanatomy learner must possess strong spatial mapping skills in order to visualise complex neuroanatomical structures and understand how they relate to each other. Textbooks and anatomical atlases are currently the most commonly used resources for teaching neuroanatomy. However, these have some major limitations due to their two-dimensional nature. Cadaveric dissections, which are currently considered a gold standard for studying anatomy, present some serious challenges, from both practical and ethical angles. Considering growing demand for neurologists and specialists in adjacent disciplines, neurophobia amongst medical and life-science students is a serious issue.
Using emerging technologies such as 3D and AR for teaching anatomy (including neuroanatomy) has been proven to be effective in improving learning outcomes of the students. These technologies provided elements of novelty, which helped making the learning experience more exciting and enjoyable. This, in turn, increased students’ motivation and, subsequently, their academic performance.
Building upon previous research, the decision was made to develop an AR and 3D-based mobile application which could be used as a learning aid by anyone willing to master neuroanatomy. The app features AR, 3D and 2D scenes, as well as a short quiz. AR functionality relies on an accompanying booklet, which contains AR-targets.
The application together with the accompanying booklet can be downloaded here: https://drive.google.com/drive/folders/12W9aYfWYVBVDZD-3x-Gju2dyruJTA0gh?usp=sharing