Active Research
Cognitive SystemsCognitive Readiness System
A privacy-conscious framework for estimating degraded decision reliability from behavioral indicators such as hesitation, timing variance, and task switching.
Why it matters
High-stakes decisions are frequently made by individuals operating under degraded cognitive conditions — fatigue, overload, or stress — without any systemic awareness that their reliability has declined.
Traditional performance monitoring is either too intrusive, too delayed, or too coarse to surface meaningful signal in time to change an outcome. CRS is designed to close that gap using behavioral indicators already present in normal workflow environments.
Core capabilities
- Behavioral latency tracking across decision task types
- Hesitation and timing-variance pattern recognition
- Task-switching frequency as cognitive load signal
- Privacy-preserving local inference — no cloud exposure
- Threshold alerting for high-stakes decision contexts
- Calibration against individual baselines, not population norms
Current state
The framework is in active research and prototype development. Behavioral indicator taxonomy is complete. Inference model design is underway with emphasis on edge-side processing to eliminate data exposure.
Target use cases include high-frequency operational roles, crisis decision support, and team-level cognitive readiness assessment for leadership contexts where degradation cascades matter.