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See no Evil: Challenges of security surveillance and monitoring

机译:不要见恶:安全监督和监测的挑战

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摘要

While the development of intelligent technologies in security surveillance can augment human capabilities, they do not replace the role of the operator entirely; as such, when developing surveillance support it is critical that limitations to the cognitive system are taken into account. The current article reviews the cognitive challenges associated with the task of a CCTV operator: visual search and cognitive/perceptual overload, attentional failures, vulnerability to distraction, and decision-making in a dynamically evolving environment. While not directly applied to surveillance issues, we suggest that the NSEEV (noticing – salience, effort, expectancy, value) model of attention could provide a useful theoretical basis for understanding the challenges faced in detection and monitoring tasks. Having identified cognitive limitations of the human operator, this review sets out a research agenda for further understanding the cognitive functioning related to surveillance, and highlights the need to consider the human element at the design stage when developing technological solutions to security surveillance.
机译:尽管安全监控中智能技术的发展可以增强人员的能力,但它们并不能完全取代运营商的角色;因此,在开发监视支持时,必须考虑到认知系统的局限性。当前的文章回顾了与CCTV运营商的任务相关的认知挑战:视觉搜索和认知/感知超载,注意失败,容易分散注意力以及在动态变化的环境中进行决策。尽管不能直接应用于监视问题,但我们建议注意的NSEEV(注意-显着性,努力,期望,价值)模型可以为理解检测和监视任务所面临的挑战提供有用的理论基础。在确定了操作员的认知局限性之后,本次审查提出了一个研究议程,以进一步了解与监视有关的认知功能,并强调在开发安全监视技术解决方案时,在设计阶段就必须考虑人为因素。

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