Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, USA.
Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, USA.
Appl Ergon. 2020 Apr;84:103022. doi: 10.1016/j.apergo.2019.103022. Epub 2020 Jan 10.
Cyber threats are targeting vulnerabilities of human workers performing tasks in manufacturing processes, including visual inspection to bias their decision-making, thereby sabotaging product quality. This article examines the use of priming as a form of "cognitive hacking" to adversely affect quality inspection decisions in manufacturing, and investigates physiological measurements as means to detect such intrusion. In a within-subject design experiment, twenty participants inspected surface roughness of a manufactured component with and without exposure to priming on the display of an inspection logging system. The results show that the presence of primes impacted accuracy on surface roughness, cortical activities at parietal lobe P4, and eye gaze for inspecting components. The experiment provides supporting evidence that basic hacking of a worker display can be an effective method to alter decision making in inspection. The findings also illustrate that cortical activities and eye gaze can be useful indicators of cognitive hacking. A major implication of the study results is that physiological indicators can be effective at revealing unconscious cognitive influence in visual inspection.
网络威胁正针对在制造过程中执行任务的人类工人的漏洞,包括视觉检查来影响他们的决策,从而破坏产品质量。本文研究了使用启动作为一种“认知黑客”的形式来对制造中的质量检查决策产生不利影响,并调查了生理测量作为检测这种入侵的手段。在一项被试内设计实验中,二十名参与者在检查日志系统的显示器上有和没有启动的情况下,对制造部件的表面粗糙度进行检查。结果表明,启动的存在影响了表面粗糙度的准确性、顶叶 P4 区的皮质活动以及检查部件的注视点。该实验提供了有力的证据,证明对工人显示器的基本黑客攻击可能是改变检查决策的有效方法。研究结果还表明,皮质活动和注视点可以作为认知黑客的有用指标。该研究结果的一个主要含义是,生理指标可以有效地揭示视觉检查中的无意识认知影响。