ArticleJMIR serious games2022
Designing Virtual Reality-Based Conversational Agents to Train Clinicians in Verbal De-escalation Skills: Exploratory Usability Study.
Article in JMIR serious games, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Adapting the TeamSTEPPS team performance observation tool for dyadic interprofessional VR simulations (vTPOT): a multi-step validation study.Advances in simulation (London, England) · 2026Article
- Virtual Reality for Workplace Violence Training of Health Care Workers: Pilot Mixed Methods Usability Study.JMIR serious games · 2025Article
- When Action Speaks Louder than Words: Exploring Non-Verbal and Paraverbal Features in Dyadic Collaborative VR.Sensors (Basel, Switzerland) · 2025Article
- Training and Assessing Teamwork in Interprofessional Virtual Reality-Based Simulation Using the TeamSTEPPS Framework: Protocol for Randomized Pre-Post Intervention Study.JMIR research protocols · 2025Article
- Understanding aggression displayed by patients and families towards intensive care staff: A systematic review.Journal of the Intensive Care Society · 2024Article
- Health Care and Social Work Students' Experiences With a Virtual Reality Simulation Learning Activity: Qualitative Study.JMIR medical education · 2023Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundViolence and aggression are significant workplace challenges faced by clinicians worldwide. Traditional methods of training consist of "on-the-job learning" and role-play simulations. Although both approaches can result in improved skill levels, they are not without limitation. Interactive simulations using virtual reality (VR) can complement traditional training processes as a cost-effective, engaging, easily accessible, and flexible training tool.
objectiveIn this exploratory study, we aimed to determine the feasibility of and barriers to verbal engagement with a virtual agent in the context of the Code Black VR application. Code Black VR is a new interactive VR-based verbal de-escalation trainer that we developed based on the Clinical Training Through VR Design Framework.
methodsIn total, 28 participants with varying clinical expertise from 4 local hospitals enrolled in the Western Sydney Local Health District Clinical Initiative Nurse program and Transition to Emergency Nursing Programs and participated in 1 of 5 workshops. They completed multiple playthroughs of the Code Black VR verbal de-escalation trainer application and verbally interacted with a virtual agent. We documented observations and poststudy reflection notes. After the playthroughs, the users completed the System Usability Scale and provided written comments on their experience. A thematic analysis was conducted on the results. Data were also obtained through the application itself, which also recorded the total interactions and successfully completed interactions.
resultsThe Code Black VR verbal de-escalation training application was well received. The findings reinforced the factors in the existing design framework and identified 3 new factors-motion sickness, perceived value, and privacy-to be considered for future application development.
conclusionsVerbal interaction with a virtual agent is feasible for training staff in verbal de-escalation skills. It is an effective medium to supplement clinician training in verbal de-escalation skills. We provide broader design considerations to guide further developments in this area.
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