Evidence map›Paper›PMID 35793129›Full record

ArticleJMIR serious games2022

Designing Virtual Reality-Based Conversational Agents to Train Clinicians in Verbal De-escalation Skills: Exploratory Usability Study.

Nathan Moore, Naseem Ahmadpour, Martin Brown, Philip Poronnik, Jennifer Davids

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Nathan MooreDigital Health Solutions, Western Sydney Local Health District, North Parramatta, Australia.ORCID https://orcid.org/0000-0003-2056-7955
Naseem AhmadpourDesign Lab, Sydney School of Architecture, Design and Planning, The University of Sydney, Sydney, Australia.ORCID https://orcid.org/0000-0003-1818-1930
Martin BrownFaculty of Medicine and Health Media Lab, Education Innovation, School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.ORCID https://orcid.org/0000-0002-6225-3770
Philip PoronnikFaculty of Medicine and Health Media Lab, Education Innovation, School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.ORCID https://orcid.org/0000-0002-6246-528X
Jennifer DavidsResearch and Education Network, Western Sydney Local Health District, Westmead, Australia.ORCID https://orcid.org/0000-0003-0861-9994

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

clinical trainingcode blackconversational agenteducationverbal de-escalationviolence and aggressionvirtual reality

Identifiers

PMID35793129
PMCPMC9301562

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.