A Case Study Using Virtual Reality to Prime Knowledge for Procedural Medical Training

被引:0
|
作者
Watson, Paul W. L. [1 ,4 ]
House, Samuel [1 ]
Hart, Robert [1 ]
Abbas, Jonathan [2 ]
Asthana, Sheena [1 ]
Gaudl, Swen E. [1 ,3 ]
机构
[1] Univ Plymouth, Plymouth, England
[2] Univ Manchester, Manchester, England
[3] Univ Gothenburg, Gothenburg, Sweden
[4] Univ Bolton, Bolton, England
关键词
Design Process; Usability Testing; Edutainment; Education; Training; Virtual Reality; FOREIGN-BODY ASPIRATION; RIGID BRONCHOSCOPY; TEACH ONE; SEE ONE; DIAGNOSIS; SUS;
D O I
10.1007/978-3-031-42293-5_15
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Procedural training within medical education relies heavily on skill practice. This training requires developing a cognitive understanding of a procedure to prime learners before motor skill trials. With the high demand and costs of specialist equipment, virtual reality (VR) is poised to provide accessible content to develop cognitive understanding, and bridge the gap between knowledge and practice outside of dedicated training centres. Previous work in this field has focused on knowledge transfer, which is important yet insufficient to understand the interplay of instruction, usability, presence, and experience. All of which could impact learning outcomes and frequency of use. To have a more nuanced view of VR medical training beyond its knowledge transfer capability, we integrate HCI & games perspectives into our evaluation approach appraising the VR Bronchoscope Assembly (VR-Bronch) training.
引用
收藏
页码:189 / 208
页数:20
相关论文
共 50 条
  • [41] Training of Medical Procedures in an WEB Environment of Virtual Reality
    Jairo, S. S.
    Fernado, A.
    Lourdes, B.
    Ana, B. P.
    Remis, B.
    WORLD CONGRESS ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING 2006, VOL 14, PTS 1-6, 2007, 14 : 3816 - +
  • [42] Virtual reality training for assembly of hybrid medical devices
    Ho, Nicholas
    Wong, Pooi-Mun
    Chua, Matthew
    Chui, Chee-Kong
    MULTIMEDIA TOOLS AND APPLICATIONS, 2018, 77 (23) : 30651 - 30682
  • [43] Virtual Reality Medical Training System for Anatomy Education
    Falah, Jannat
    Alfalah, Salsabeel F. M.
    Khan, Soheeb
    Chan, Warren
    Alfalah, Tasneem
    Harrison, David K.
    Charissis, Vassilis
    2014 SCIENCE AND INFORMATION CONFERENCE (SAI), 2014, : 752 - 758
  • [44] Use of recurrence quantification analysis in virtual reality training: A Case Study
    Vuong, Barry
    McConville, Kristiina M. V.
    IEEE TIC-STH 09: 2009 IEEE TORONTO INTERNATIONAL CONFERENCE: SCIENCE AND TECHNOLOGY FOR HUMANITY, 2009, : 849 - 854
  • [45] Multimodal teaching, learning and training in virtual reality: a review and case study
    Philippe S.
    Souchet A.D.
    Lameras P.
    Petridis P.
    Caporal J.
    Coldeboeuf G.
    Duzan H.
    Philippe, Stéphanie (sphilippe@manzalab.com), 1600, KeAi Communications Co. (02): : 421 - 442
  • [46] Using stereoscopy for medical virtual reality
    John, NW
    MEDICINE MEETS VIRTUAL REALITY 02/10: DIGITAL UPGRADES: APPLYING MOORES LAW TO HEALTH, 2002, 85 : 214 - 220
  • [47] Enhancing Virtual Reality Training Through Artificial Intelligence: A Case Study
    Giussani, Riccardo
    Dozio, Nicolo
    Rigone, Stefano
    Parenzan, Luca
    Ferrise, Francesco
    IEEE COMPUTER GRAPHICS AND APPLICATIONS, 2024, 44 (06) : 13 - 23
  • [48] Disaster medicine training: The case for virtual reality
    Tin, Derrick
    Hertelendy, Attila J.
    Ciottone, Gregory R.
    AMERICAN JOURNAL OF EMERGENCY MEDICINE, 2021, 48 : 370 - 371
  • [49] Immersive Virtual Reality for procedural training: Comparing traditional and learning by teaching approaches
    De Lorenzis, Federico
    Prattico, Filippo Gabriele
    Repetto, Maurizio
    Pons, Enrico
    Lamberti, Fabrizio
    COMPUTERS IN INDUSTRY, 2023, 144
  • [50] Procedural virtual reality simulation training for robotic surgery: a randomised controlled trial
    Raison, Nicholas
    Harrison, Patrick
    Abe, Takashige
    Aydin, Abdullatif
    Ahmed, Kamran
    Dasgupta, Prokar
    SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES, 2021, 35 (12): : 6897 - 6902