CITR: Cognitive Integration Time Regulation — A Risk Awareness Framework for High-Velocity Human-in-the-Loop Digital Environments
Murali Swayambu
Abstract
Machine velocity — combining update speed, information density, scarcity triggers, fear/greed cues, and algorithmic engagement loops — can outpace human cognitive integration time in specific edge-status situations. When this occurs, decisions are associated with a shift from deliberate, consent-based evaluation toward impulsive or aborted responses. This framework, CITR (Cognitive Integration Time Regulation), provides a risk signal approximating this condition through the formula: D(t) = Th / Tm where Th is human integration time (channel-specific: haptic ~10–150 ms, visual ~100–300 ms, cognitive ~200–300 ms) and Tm is machine stimulus velocity. When D(t) exceeds a user-configurable threshold T(s) — default 1.0 — the framework flags a risk state across three zones: Green (low material impact), Yellow (vulnerability emerging), and Red (critical handover of control). This classification drives a tiered voluntary awareness layer: alerts and optional user-initiated friction pauses — never forced blocks. The framework is grounded in exploratory pilot data from the HMTS Behavioral Testing Suite v3.1 (n=13 participants total, 7 tests: n=8 original cohort filed with CITR v3; n=5 expansion cohort added for HMTS v3.1) and is anchored in independent published research across motor neuroscience, attentional psychophysics, cybersecurity, and friction intervention studies. The pilot data functions as a demonstration that the HMTS instrument works and predicted patterns appear — the evidentiary weight rests on the convergent external literature. CITR is offered as an open, exploratory, non-intrusive risk awareness framework; HMTS is the behavioural measurement instrument it uses as its input. The author notes that UNESCO Neurotechnology Ethics (2025) was drafted primarily for invasive neurotechnology — its application here is an interpretive extension to non-intrusive digital velocity contexts by the author alone, and does not represent UNESCO endorsement or affiliation. References to the EU AI Act and India DPDP Act similarly reflect problem-space relevance only, not institutional backing or funding of any kind.