Virtual reality training of non-technical skills: The case of interoperability for first responders

非技术技能的虚拟现实培训：急救人员的互操作性案例

• 批准号: 519917-2017
• 负责人: Tremblay, Sébastien
• 金额: $ 4.95万
• 依托单位: Université Laval
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=667109
• 关键词: Virtual; reality; training; non; technical

In this project, we adopt an interdisciplinary approach that combines experimental psychology and cognitive neuroergonomics, to ensure a thorough understanding and assessment of interoperability in crisis management, which in turn will be used to develop and validate an innovative and complete immersive virtual reality training system for first responders. Virtual reality simulations provide a cost-effective platform for training personnel, using simulated scenarios that are realistic in terms of their events, time course and emotional states. StellarX, a virtual and augmented reality platform, developed by OVA -our industry partner- will be adapted into a training system for responders of different services (police, firefighters, paramedics and public safety). First, behavioral markers will be identified and cognitive and teamwork-related metrics will be defined to evaluate the acquisition of non-technical skills that need to be supported and trained in crisis management in order to maximize interoperability and performance. Second, physiological and oculometric markers will be identified to act as indicators of the trainee's functional (cognitive and affective) states during crisis management. The training system we propose relies on behavioral, physiological and oculometric data, and the efficiency of such a system strongly depends upon the ability to sample and combine the different metrics. The ultimate training platform produced will support public safety and the well-being of Canadian citizens, while the set of validated behavioral and biomarkers empirically established will also have far-reaching benefits and give Canada an edge in terms of advances in ICT and integrative biometric devices. In addition, the outcomes of this project will define guidelines and recommendations for designing intelligent, adaptive virtual reality training systems that include the online monitoring of users' cognitive and affective state based on biometric and behavioral markers.**

在这个项目中，我们采用了一种跨学科的方法，结合实验心理学和认知神经工效学，以确保彻底理解和评估危机管理中的互操作性，这反过来将被用来开发和验证一个创新的和完整的沉浸式虚拟现实培训系统的第一响应者。虚拟现实模拟为培训人员提供了一个具有成本效益的平台，使用在事件，时间过程和情绪状态方面逼真的模拟场景。StellarX是一个虚拟和增强现实平台，由我们的行业合作伙伴OVA开发，将适用于不同服务（警察，消防员，护理人员和公共安全）的响应者的培训系统。首先，将确定行为标记，并定义认知和团队合作相关的指标，以评估获得需要在危机管理中得到支持和培训的非技术技能，以最大限度地提高互操作性和绩效。第二，生理和视力标记将被确定为危机管理期间受训者的功能（认知和情感）状态的指标。我们提出的训练系统依赖于行为，生理和视力测量数据，这种系统的效率在很大程度上取决于采样和联合收割机的不同指标的能力。最终的培训平台将支持公共安全和加拿大公民的福祉，而经验建立的一套经过验证的行为和生物标志物也将产生深远的好处，并使加拿大在信息和通信技术和综合生物识别设备方面取得优势。此外，该项目的成果将为设计智能、自适应的虚拟现实培训系统提供指导和建议，其中包括基于生物特征和行为标记的用户认知和情感状态的在线监测。