Abstract:

In high-stakes environments, such as military operations and emergency response, the ability to make rapid, high-accuracy decisions under extreme cognitive load is crucial for mission success and survival. However, current training methods often fall short in preparing personnel for the intense cognitive demands of real-world scenarios, where stress, uncertainty, and time constraints significantly affect performance. This paper introduces an adaptive training framework that utilizes cognitive modeling, AI-driven scenario adjustments, and biometric monitoring to replicate cognitive overload conditions. It ensures that trainees build resilience and enhance their decision-making effectiveness under pressure.

By integrating real-time data analytics and adaptive feedback mechanisms, this approach delivers personalized training experiences that continuously adjust to individual cognitive thresholds, optimizing performance while reducing training time and enhancing knowledge retention. The proposed framework is grounded in cognitive load theory, offering practical guidelines for balancing task complexity, minimizing overload risks, and enhancing operational efficiency. By incorporating advanced biometric technologies such as heart rate variability and eye-tracking, the system provides objective measures of cognitive strain, allowing for data-driven adjustments that tailor training to the needs of each individual.

Emerging technologies such as virtual reality (VR), augmented reality (AR), and AI-driven performance analytics are explored as essential components in creating immersive, high-fidelity training environments that replicate the psychological and physiological pressures of operational settings. These technologies enable realistic, scenario-based learning that prepares trainees for unpredictable and rapidly evolving challenges.

The present paper provides the community with a forward-thinking approach to optimizing training methodologies, bridging the gap between traditional instructional design and cutting-edge technological advancements. By redefining how the cognitive load is simulated and managed, this research offers actionable strategies to achieve operational dominance through adaptive, data-driven training solutions that empower personnel to excel under pressure.

Keywords: DECISION;DESIGN;DISCRETE EVENT SIMULATION;EMBEDDED SIMULATION;MILITARY LEARNING

Mustapha Mouloua

Affiliation

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Enhancing Decision-Making Under Pressure: Adaptive Training Frameworks for High-Stakes Environments