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Detecting cognitive hacking in visual inspection with physiological measurements.

Wenyan Huang1, Xiaoyu Chen1, Ran Jin1

  • 1Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, USA.

Applied Ergonomics
|January 29, 2020
PubMed
Summary

Cognitive hacking using display primes can sabotage manufacturing quality inspections. Physiological indicators like brain activity and eye gaze can detect this subtle, unconscious influence on workers.

Keywords:
Additive manufacturingCognitive hackingCybersecurityEEGEye-trackingInspection

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Area of Science:

  • Human-computer interaction
  • Cognitive psychology
  • Manufacturing process security

Background:

  • Cyber threats increasingly target human vulnerabilities in manufacturing.
  • Cognitive hacking, specifically priming, can manipulate worker decision-making.
  • Product quality is at risk due to compromised inspection processes.

Purpose of the Study:

  • To examine priming as a cognitive hacking method in manufacturing quality inspection.
  • To investigate the effectiveness of physiological measurements in detecting such intrusions.
  • To understand the impact of cognitive hacking on visual inspection accuracy and decision-making.

Main Methods:

  • A within-subject experimental design was employed.
  • Twenty participants performed surface roughness inspection tasks.
  • Participants were exposed to priming stimuli on an inspection logging system display, with and without priming conditions.

Main Results:

  • Priming significantly impacted inspection accuracy for surface roughness.
  • Cortical activities, specifically at the parietal lobe P4, were affected by priming.
  • Eye gaze patterns during inspection also showed alterations due to priming exposure.

Conclusions:

  • Basic display hacking effectively alters worker decision-making during inspection.
  • Cortical activity and eye gaze serve as viable indicators of cognitive hacking.
  • Physiological indicators are effective in revealing unconscious cognitive influences in visual inspection tasks.