Grant: Alliance Grants
Ryerson University
$50,000.00
COVID-19 and the Efficacy of Using Virtual Reality Scenarios to Safely Train Police in Mental Health Crisis Response_x000d_
EF 2020-21
Résumé
In partnership with Dark Slope, researchers from Ryerson University, Wilfrid Laurier University, and the University of Victoria plan to develop a VR-training system to ensure that scenario-based police training in de-escalation and mental health crisis response can continue during the COVID-19 pandemic. At the request of the Ministry of the Solicitor General, the research team recently developed their evidence-based training protocol into a standardized curriculum for officers across Ontario. However, the social isolation measures due to COVID-19 have made scenario-based training an impossibility. This suspension of police training in mental health crisis response dangerously compromises both public and officer safety, particularly in light of the current upsurge in police calls for service to respond to citizens in mental health crisis. The research team intends to migrate its scenario-based curriculum onto a Virtual Reality (VR) platform. This new approach, which we will deliver in an 8-month timeframe, will ensure mental health crisis response training can continue safely during pandemic restrictions without compromising the effectiveness of the evidence-based training protocol. Within this time-frame, we will have a clear vision of how to incorporate new elements (social-distancing guidelines, officer and public safety, COVID-related stressors) into training scenarios, and how to maximize the potential of VR as a platform for training. Specifically, we will gain insights into how VR can be used to reduce the reliance on in-person actors on-site; how a hybrid decision-making system can optimize tradeoffs between responsiveness and scalability with Non-Player Character (NPC)/avatars; how scenarios and training can evolve to incorporate COVID-19-specific elements in a VR context; and, more generally, how VR can increase the effectiveness and scalability of scenario-based de-escalation training. As a response to COVID-19, the research applies technology and engineering research in direct service to evidence-based approaches to help create a safer, more equitable relationship between law enforcement and the wider society, particularly citizens who are often marginalized such as those living with serious mental illness.
Programme
Alliance Grants
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
554476-2020
Name nom
Khan, Naimul
Department département
Electrical, Computer and Biomedical Engineering
Organization id
43
Institution établissement
Ryerson University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2020
Competition year année de concours
2020
Award amount
50000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
1100
Area of application group en
Health, education and social services
Area of application group fr
Santé publique, éducation et services sociaux
Area of application en
Health, education and social services
Area of application fr
Santé publique, éducation et services sociaux
Research subject code
2716
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Virtual reality and related simulations
Research subject fr
Réalité virtuelle et simulations connexes
Installment
inst:1 - 1
Partie
1
Nb partie
1
Application title
COVID-19 and the Efficacy of Using Virtual Reality Scenarios to Safely Train Police in Mental Health Crisis Response_x000d_
Keyword
NSERC
Application summary
In partnership with Dark Slope, researchers from Ryerson University, Wilfrid Laurier University, and the University of Victoria plan to develop a VR-training system to ensure that scenario-based police training in de-escalation and mental health crisis response can continue during the COVID-19 pandemic. At the request of the Ministry of the Solicitor General, the research team recently developed their evidence-based training protocol into a standardized curriculum for officers across Ontario. However, the social isolation measures due to COVID-19 have made scenario-based training an impossibility. This suspension of police training in mental health crisis response dangerously compromises both public and officer safety, particularly in light of the current upsurge in police calls for service to respond to citizens in mental health crisis. The research team intends to migrate its scenario-based curriculum onto a Virtual Reality (VR) platform. This new approach, which we will deliver in an 8-month timeframe, will ensure mental health crisis response training can continue safely during pandemic restrictions without compromising the effectiveness of the evidence-based training protocol. Within this time-frame, we will have a clear vision of how to incorporate new elements (social-distancing guidelines, officer and public safety, COVID-related stressors) into training scenarios, and how to maximize the potential of VR as a platform for training. Specifically, we will gain insights into how VR can be used to reduce the reliance on in-person actors on-site; how a hybrid decision-making system can optimize tradeoffs between responsiveness and scalability with Non-Player Character (NPC)/avatars; how scenarios and training can evolve to incorporate COVID-19-specific elements in a VR context; and, more generally, how VR can increase the effectiveness and scalability of scenario-based de-escalation training. As a response to COVID-19, the research applies technology and engineering research in direct service to evidence-based approaches to help create a safer, more equitable relationship between law enforcement and the wider society, particularly citizens who are often marginalized such as those living with serious mental illness.