Abstract
In high-stakes operational environments that involve different network operations/management teams, such as security operations centers (SOCs), network operations centers (NOCs), and Incident Response (IR) teams, sustained vigilance and cognitive clarity are critical. Fatigue and cognitive overload can significantly compromise situational awareness, delay threat detection, and can lead to the dismissal of legitimate alerts or the mis-prioritization of critical response actions. To address such issues, a comprehensive system and method are proposed herein that provide for detecting operator fatigue in mission-critical environments by leveraging the fusion of cognitive load analytics with real-time behavioral telemetry. The proposed system integrates biometric monitoring, such as capturing eye movement, facial micro-expressions, and heart rate variability with contextual digital behaviors such as keystroke patterns, alert triage timing, application usage entropy, and attention-switching dynamics to provide a continuous, adaptive view of an operator's cognitive state.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Tziakouris, Giannis and J Al-Fardan, Nadhem, "COGNITIVE FATIGUE DETECTION SYSTEM FOR CRITICAL OPERATIONAL ENVIRONMENTS", Technical Disclosure Commons, (August 28, 2025)
https://www.tdcommons.org/dpubs_series/8524