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Comparing Virtual Reality Telepresence and Traditional Simulation Methods: A Pilot Study
Bryan K Dang1, Colleen O'Leary-Kelley, Jeland S Palicte
1About the Authors Bryan K. Dang, BSN, RN, PHN, a student at the Valley Foundation School of Nursing (TVFSON), San Jose State University (SJSU), San Jose, California, at the time this article was written, is now product manager at Syminar, Inc. Colleen O'Leary-Kelley, PhD, RN, director and active professor at TVFSON, was simulation center director and professor at TVFSON at the time of writing. Jeland S. Palicte, BSN, RN, a student at TVFSON at the time of writing, is a hospice RN case manager and active researcher, TVFSON Simulation Center. Soham Badheka, MS, a software engineer, was an engineering graduate student at SJSU at the time of writing. Chandrasekhar Vuppalapati, MS, MBA, is a lecturer at SJSU and director at a health care data company. This research was funded (in part) by the SJSU Alumni Association's Dean's Scholarship. The authors acknowledge Dr. Kristina T. Dreifuerst for her guidance, Dr. Gillian S. Starkey for her advice with research design and analysis, Jessie Deot and Karanbir Singh from the College of Engineering for supporting conceptual ideation, and the Allie VR Team for lending the ALLie VR Camera for this research. For more information, contact Bryan Dang at BryanDangRN@gmail.com.
Abstract:
Virtual reality (VR) could enable clinical simulation centers to reach the teaching capacity of traditional hospital practica. This study quantitatively tests VR telepresence against two traditional simulation learning methods using a within-subject design and the Presence Questionnaire. Eight nursing students were randomly assigned and rotated through simulation participation, VR observation, and television observation conditions, completing a questionnaire after each condition. Each condition had a significant effect on presence. Simulation participation yielded the highest perceived presence, followed by VR, and lastly by television observation. This pilot study probed for effect and feedback that will inform a larger experiment.
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