Short-Term Memory (N-Back): Measures target updates. User clicks when an item matches exactly N positions back. Tracks processing sensitivity coefficients (d') via:
Distraction Filtering Speed (Stroop): Displays mismatched ink/word tokens. Isolates visual noise cost parameters (Δt) in milliseconds:
Task-Switching & Adaptation (TMT): Forces rule alternation tracks (1-A-2-B). Measures exact gear-switching rule delay thresholds:
Focus Stamina (CPT): High repetition multi-minute tasks tracking attention drop variances block-by-block using the standard deviation (σ) and mean (X):
Test Durations: N-Back limits execution grids to 60-90 trials (~2 min). Stroop captures 40-60 items. TMT monitors 25 connection coordinates. CPT tracks a consolidated 4-block interface running exactly 8 continuous minutes.
Literature Rationale: While classic behavioral testing demanded tedious 20-minute sessions, modern behavioral research indicates that the Vigilance Decrement (the velocity crash point as energy drops) peaks explicitly within a tight 4 to 8-minute timeline box. Capturing millisecond timing matrices on high-density trials satisfies large-number stability loops, securing complete statistical power without causing arbitrary tester rage.
| Metric Dimension | Good Control Range | Warning Threshold | Evaluation Context |
|---|---|---|---|
| Memory Sensitivity (d') | > 2.0 | < 1.2 | Short-term details indexing |
| Stroop Delay Cost | < 150ms | > 300ms | Visual background noise filtration |
| Switching Friction | < 200ms | > 450ms | Prefrontal track alteration delays |
| Attention Drops (Omissions) | < 3.0% | > 10.0% | Lapses and focus dropouts rate |
| Rushing Mistakes (Commissions) | < 5.0% | > 15.0% | Impulsive button click rates |
| Fatigue Degradation (ΔE) | < +8.0% | > +20.0% | Stamina exhaustion drop indicators |
🤝 Steady & Balanced: Maintains clear memory, strong filter controls, and stable fatigue scores throughout test intervals.
☁️ Mind Wandering / Overwhelmed: Displays depressed memory sensitivity (d') paired with heavy target dropout metrics.
⚡ Rushing / Fast Reaction: Reduces verification checkpoints, causing prominent premature target errors under noise indicators.
🔀 Switching Friction Bottleneck: Normal fresh scores, but suffers crippling processing delays when rules rotate.