11. Behavioral Detection

Infer patterns without treating statistical human-likeness as legitimacy.

Reader outcome

Evaluate timing, entropy, sequences, trajectories, dwell time, and reaction patterns for robustness and legitimate-user variation.

Decision questions

• Which behavioral differences are causal, incidental, or population-specific?
• Can accessibility tools or expert users resemble automation?
• Can human labor or imitation make harmful behavior look human?
• How does the feature change when users learn, interfaces change, or latency shifts?

Evidence needed

• Studies with representative populations
• Temporal and cross-product validation
• Accessibility and expert-user counterexamples
• Adaptation and concept-drift measurements