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The Critical Role of Stereopsis in Virtual and Mixed Reality Learning Environments
Author(s) -
Wainman Bruce,
Pukas Giancarlo,
Wolak Liliana,
Mohanraj Sylvia,
Lamb Jason,
Norman Geoffrey R.
Publication year - 2019
Publication title -
anatomical sciences education
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.126
H-Index - 51
eISSN - 1935-9780
pISSN - 1935-9772
DOI - 10.1002/ase.1928
Subject(s) - virtual reality , stereopsis , mixed reality , computer science , augmented reality , depth perception , artificial intelligence , human–computer interaction , psychology , perception , neuroscience
Anatomy education has been revolutionized through digital media, resulting in major advances in realism, portability, scalability, and user satisfaction. However, while such approaches may well be more portable, realistic, or satisfying than traditional photographic presentations, it is less clear that they have any superiority in terms of student learning. In this study, it was hypothesized that virtual and mixed reality presentations of pelvic anatomy will have an advantage over two‐dimensional (2D) presentations and perform approximately equal to physical models and that this advantage over 2D presentations will be reduced when stereopsis is decreased by covering the non‐dominant eye. Groups of 20 undergraduate students learned pelvic anatomy under seven conditions: physical model with and without stereo vision, mixed reality with and without stereo vision, virtual reality with and without stereo vision, and key views on a computer monitor. All were tested with a cadaveric pelvis and a 15‐item, short‐answer recognition test. Compared to the key views, the physical model had a 70% increase in accuracy in structure identification; the virtual reality a 25% increase, and the mixed reality a non‐significant 2.5% change. Blocking stereopsis reduced performance on the physical model by 15%, on virtual reality by 60%, but by only 2.5% on the mixed reality technology. The data show that virtual and mixed reality technologies tested are inferior to physical models and that true stereopsis is critical in learning anatomy.