Pilot's visual attention allocation modeling under fatigue.

Area of Science:

• Aviation psychology and human factors research.
• Ergonomics and human-computer interaction.
• Cognitive science and performance modeling.

Background:

• Human factors, specifically visual attention and fatigue, are primary contributors to aviation accidents.
• Understanding the interplay between pilot attention and fatigue is essential for enhancing flight safety.
• Existing research highlights the need for quantitative models to assess these factors.

Purpose of the Study:

• To develop and validate a mathematical model of pilot visual attention allocation under multi-task conditions.
• To investigate the relationship between attention, fatigue, and performance in a simulated flight environment.
• To assess the model's applicability in conditions simulating flight fatigue and dual-task scenarios.

Main Methods:

• A Boeing 737-800 flight simulator was used with 16 participants performing dual-tasks.
• Tasks included an envelope flight task and an unusual attitude (UA) recovery task.
• Data collected comprised reaction time, physiological indices (heart rate, respiration), and eye-tracking for attention allocation.

Main Results:

• Experimental duration significantly correlated with fatigue indicators, confirming fatigue onset and impact.
• Eye movement data demonstrated strong agreement with the predictive model, validating its effectiveness.
• The model's applicability was confirmed under conditions of flight fatigue and dual-task workload.

Conclusions:

• A quantitative link between pilot visual attention allocation and flight fatigue was established.
• The developed model provides a verifiable tool for assessing pilot cognitive states.
• Findings contribute to improving aviation safety through a better understanding of human factors in flight operations.