Learning procedural skills with a virtual reality simulator: An acceptability study.

BACKGROUND Virtual Reality (VR) simulation has recently been developed and has improved surgical training. Most VR simulators focus on learning technical skills and few on procedural skills. Studies that evaluated VR simulators focused on feasibility, reliability or easiness of use, but few of them used a specific acceptability measurement tool. OBJECTIVES The aim of the study was to assess acceptability and usability of a new VR simulator for procedural skill training among scrub nurses, based on the Unified Theory of Acceptance and Use of Technology (UTAUT) model. PARTICIPANTS The simulator training system was tested with a convenience sample of 16 non-expert users and 13 expert scrub nurses from the neurosurgery department of a French University Hospital. METHODS The scenario was designed to train scrub nurses in the preparation of the instrumentation table for a craniotomy in the operating room (OR). RESULTS Acceptability of the VR simulator was demonstrated with no significant difference between expert scrub nurses and non-experts. There was no effect of age, gender or expertise. Workload, immersion and simulator sickness were also rated equally by all participants. Most participants stressed its pedagogical interest, fun and realism, but some of them also regretted its lack of visual comfort. CONCLUSION This VR simulator designed to teach surgical procedures can be widely used as a tool in initial or vocational training.

[1]  G. Riva,et al.  The Past, Present, and Future of Virtual and Augmented Reality Research: A Network and Cluster Analysis of the Literature , 2018, Front. Psychol..

[2]  Yogesh Kumar Dwivedi,et al.  Is UTAUT really used or just cited for the sake of it? a systematic review of citations of UTAUT's originating article , 2011, ECIS.

[3]  D Nestel,et al.  Complexity, risk and simulation in learning procedural skills , 2007, Medical education.

[4]  Bruno Arnaldi,et al.  Synthesis and Simulation of Surgical Process Models , 2016, MMVR.

[5]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[6]  Marjan Hericko,et al.  An Empirical Study of Virtual Learning Environment Adoption Using UTAUT , 2010, 2010 Second International Conference on Mobile, Hybrid, and On-Line Learning.

[7]  Keno März,et al.  Toward a standard ontology of surgical process models , 2018, International Journal of Computer Assisted Radiology and Surgery.

[8]  Viswanath Venkatesh,et al.  Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology , 2012, MIS Q..

[9]  M. Thüring,et al.  Usability, aesthetics and emotions in human–technology interaction , 2007 .

[10]  Chang Liu,et al.  An Application of the UTAUT Model for Understanding Student Perceptions Using Course Management Software , 2007, Communications of the IIMA.

[11]  R. Agha,et al.  The role and validity of surgical simulation. , 2015, International surgery.

[12]  S. Breedt,et al.  Preparation of nursing students for operating room exposure: A South African perspective , 2019, African Journal of Health Professions Education.

[13]  Benoît Caillaud Surgical Process Mining with Test and Flip Net Synthesis , 2013 .

[14]  Jakob Nielsen,et al.  Usability engineering , 1997, The Computer Science and Engineering Handbook.

[15]  P. Dasgupta,et al.  Current status of validation for robotic surgery simulators – a systematic review , 2013, BJU international.

[16]  S. Hart,et al.  Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research , 1988 .

[17]  Robert S. Kennedy,et al.  Simulator Sickness Questionnaire: An enhanced method for quantifying simulator sickness. , 1993 .

[18]  Ara Darzi,et al.  Effectiveness of procedural simulation in urology: a systematic review. , 2011, The Journal of urology.

[19]  Mel Slater,et al.  Depth of Presence in Virtual Environments , 1994, Presence: Teleoperators & Virtual Environments.

[20]  Bruno Arnaldi,et al.  From Observations to Collaborative Simulation: Application to Surgical Training , 2016, ICAT-EGVE.

[21]  P A Hancock,et al.  The stress and workload of virtual reality training: the effects of presence, immersion and flow , 2016, Ergonomics.

[22]  Elena Karahanna,et al.  Time Flies When You're Having Fun: Cognitive Absorption and Beliefs About Information Technology Usage , 2000, MIS Q..

[23]  Susan G. Hill,et al.  Traditional and raw task load index (TLX) correlations: Are paired comparisons necessary? In A , 1989 .