2B-Alert Web

2B-Alert Web predicts neurobehavioral performance under varying sleep–wake schedules, circadian timing, and caffeine consumption using integrated computational performance models.

Key Features:

• Unified Performance Modeling: Integrates a validated Unified Model of Performance with a caffeine pharmacodynamic model to estimate neurobehavioral performance.
• Psychomotor Vigilance Prediction: Predicts mean response time, mean reciprocal response time, and number of lapses in psychomotor vigilance tasks.
• Caffeine Optimization Algorithm: Computes optimal caffeine timing and dosage to maintain alertness under conditions of sleep restriction or sleep loss.
• Schedule-Based Simulation: Generates group-average performance predictions from specified sleep–wake schedules combined with caffeine intake parameters.

Scientific Applications:

• Fatigue Risk Assessment: Identifies predicted periods of reduced alertness and increased performance impairment associated with sleep deprivation.
• Sleep and Circadian Research: Supports investigation of the combined effects of sleep restriction, recovery sleep, circadian timing, and caffeine on neurobehavioral performance.
• Operational Performance Modeling: Enables simulation of work schedules and fatigue mitigation strategies in operational environments.

Methodology:

The tool simulates sleep–wake schedules and caffeine intake scenarios using a Unified Model of Performance combined with a caffeine model to estimate psychomotor vigilance metrics and evaluate caffeine intervention strategies under conditions such as sustained operations, restricted sleep, and night-shift schedules.