@inbook{0064e77763af4be7b74cc97e362bce44,
title = "Evaluating a Photogrammetry-based Video for Undergraduate Anatomy Education",
abstract = "Modern anatomy education has benefitted from the development of a wide range of digital 3D resources in the past decades, but the impact of the COVID-19 pandemic has sparked an additional demand for high-quality online learning resources. Photogrammetry provides a low-cost technique for departments to create their own photo-realistic 3D models of cadaveric specimens. However, to ensure accessibility, the design of the resulting learning resources should be carefully considered. We aimed to address this by creating a video based on a photogrammetry model of a cadaveric human lung. Students evaluated three different versions of this video in a Likert-type online survey. Most responding students found this type of video useful for their learning and helpful for the identification of anatomical structures in real cadaveric specimens. Respondents also showed a preference for specific design features such as a short video length, white text on black background and the presence of captions. The positive student feedback is promising for the future development of photogrammetry-based videos for anatomy education and this study has provided pilot data to improve the accessibility of such videos.",
keywords = "Gross anatomy educatio, blended learning, 3D photogrammetry, video creation, accessibility, learning disabilities",
author = "Irene Gianotto and Alexander Coutts and Laura Perez-Pachon and Flora Gr{\"o}ning",
note = "The authors are deeply grateful to the individuals who facilitate anatomy teaching at the University of Aberdeen with their generous body donations. The use of a human cadaveric specimen for the creation of a 3D photogrammetry model and video was approved by the Licensed Teachers of Anatomy at the University of Aberdeen. We would also like to thank the anatomy technicians at the University of Aberdeen for their support. We are grateful to Ronja Struck, Sara Cordoni and Sofia Aliotta for image acquisition and 3D reconstruction work and we would like to thank the students who provided feedback on the video. This work was supported by a HotStart Studentship awarded to A. Coutts by the University of Aberdeen Development Trust. L. P{\'e}rez-Pach{\'o}n was funded by the Roland Sutton Academic Trust (0053/R/17) and an Elphinstone PhD Scholarship from the University of Aberdeen.",
year = "2023",
month = aug,
day = "1",
doi = "10.1007/978-3-031-30379-1_4",
language = "English",
isbn = "978-3-031-30378-4",
volume = "16",
series = "Advances in Experimental Medicine and Biology",
publisher = "Springer ",
pages = "63--78",
editor = "Border, {Scott } and Rea, {Paul M.} and Keenan, {Iain D.}",
booktitle = "Biomedical Visualisation. Advances in Experimental Medicine and Biology",
edition = "1",
}