Rapid information integration in support of situational awareness and spatial behaviour

快速信息集成支持态势感知和空间行为

• 批准号: 2598935
• 金额: --
• 依托单位: CARDIFF UNIVERSITY
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2598935
• 关键词: Rapid; information; integration; support; situational

Situational awareness and spatial behaviour are highly dependent on the reliability of perceived environmental stimuli and on any pre-conceptions or expectations (e.g. mental maps) about the environment. Robots, drones or body-worn topography-scanning technologies (e.g. LIDAR) are being developed to assist humans in safety-critical emergency situations in dark/smoky/contaminated environments. This project aims to (1) understand how humans (including those in the emergency services) combine information from perception, memory and technological sources to engender situational awareness, and thereby (2) support spatial behaviour.Members of the emergency services (e.g., firefighters) can now be provided topographical information or form an expectation of a building's internal layout prior to entering it. They may have had little time to build trust in or establish the reliability of such 'priors' and their breathing apparatus duration is at most 20 minutes after they enter a smoke-filled building. Under such pressures, human resilience relies on refined standard operating procedures and practices to safeguard them against conflicting recalled and perceived information. The project aims to establish how the degrees of spatial information degradation, the amount/reliability/complexity of prior information provided, and live access to new information, contribute to spatial behaviour. As new assistive technologies emerge in support of incident command and fire crews, how can new, potentially complex information be effectively communicated without further increasing a firefighter's cognitive load?

情境意识和空间行为高度依赖于感知到的环境刺激的可靠性和对环境的任何先入之见或期望（例如心理地图）。正在开发机器人、无人机或人体佩戴的地形扫描技术（例如激光雷达），以帮助人类在黑暗/烟雾/污染环境中应对安全关键的紧急情况。该项目旨在（1）了解人类（包括应急服务人员）如何将来自感知、记忆和技术来源的联合收割机信息结合起来，以产生情景意识，从而（2）支持空间行为。消防员）现在可以在进入建筑物之前被提供地形信息或形成对建筑物内部布局的预期。他们可能几乎没有时间来建立对这种“先验”的信任或建立这种“先验”的可靠性，并且他们的呼吸设备的持续时间在他们进入充满烟雾的建筑物之后最多为20分钟。在这种压力下，人类的复原力依赖于完善的标准作业程序和做法，以保护他们免受相互冲突的回忆和感知信息的影响。该项目旨在确定空间信息退化的程度、所提供的先前信息的数量/可靠性/复杂性以及对新信息的实时访问如何有助于空间行为。随着新的辅助技术的出现，以支持事故指挥和消防队员，如何才能有效地传达新的，潜在的复杂信息，而不进一步增加消防队员的认知负荷？