Physiological Signatures

1. Hypothesis

A transparent, safety-bounded and person-centred approach to physiological signatures, combining validated measurement, informed consent, privacy and security controls, human oversight and longitudinal monitoring, will improve benefit–risk outcomes compared with opaque or technology-centred approaches.

2. Experiment design

Design: prospective biological identity assurance study with controlled matching, adversarial testing and longitudinal drift evaluation focused on Physiological Signatures Methods: biometric performance testing; spoof and liveness testing; longitudinal drift analysis; subgroup fairness analysis; multimodal comparison; privacy and security assessment; expert and affected-user review; reproducibility testing; methods adapted specifically to Physiological Signatures Independent variables: technology type; exposure or intervention intensity; duration; assurance controls; human oversight; user characteristics; operating context Dependent variables: functional outcome; biological or neural safety; user agency; privacy; reliability; recovery; subtopic-specific outcome for identity signals derived from heart, brain, gait, voice or other bodily patterns Confounders: age; health; disability; medication; prior experience; baseline physiology; environment; device quality; clinician or operator expertise; socioeconomic access Measures: false match; false non-match; liveness accuracy; subgroup disparity; template security; drift; revocability; user burden; recovery success; validated subtopic measures for identity signals derived from heart, brain, gait, voice or other bodily patterns; subgroup effects; false-positive and false-negative rates; user-reported burden Success criteria: Statistically and clinically or practically meaningful benefit; acceptable adverse-event profile; preserved agency and privacy; no disproportionate subgroup harm; reproducible performance; explicit safety limits; effective recovery and human escalation. Failure conditions: No meaningful benefit; biological, neural, psychological, privacy or rights harm exceeds benefit; performance fails outside narrow conditions; unsafe dependency emerges; consent or refusal is compromised; incidents cannot be detected, reversed or remediated.

3. Seed result / current evidence

DEFENSIBLE SEED RESULT — NON-EMPIRICAL. The current evidence supports Physiological Signatures as a testable research proposition. Problem basis: Biological identifiers are difficult or impossible to replace, can drift over time, and may be reused across contexts in ways that create exclusion, surveillance or irreversible harm. The specific unresolved issue is identity signals derived from heart, brain, gait, voice or other bodily patterns. Directional expectation: If supported, the proposed approach should improve functional outcome; biological or neural safety; user agency; privacy; reliability; recovery; subtopic-specific outcome for identity signals derived from heart, brain, gait, voice or other bodily patterns while reducing adverse effects, misuse, exclusion, dependency and recovery time. Proposed observations: false match; false non-match; liveness accuracy; subgroup disparity; template security; drift; revocability; user burden; recovery success; validated subtopic measures for identity signals derived from heart, brain, gait, voice or other bodily patterns; subgroup effects; false-positive and false-negative rates; user-reported burden. Seed data profile: Evidence Strength 10/100; Confidence 25/100; Maturity 20/100; Overall Health 35/100; Novelty 80/100; Strategic Importance 95/100. Evidence boundary: No validated results yet.; experiments 0, studies 0, participants 0. This is suitable for protocol formation and baseline comparison, not as a finding of effect.

4. Seed conclusion

DEFENSIBLE SEED CONCLUSION — PROVISIONAL. Physiological Signatures warrants structured testing because the CSV identifies a defined problem, falsifiable hypothesis, measurable outcomes and relevant literature foundations. The present position is that “A transparent, safety-bounded and person-centred approach to physiological signatures, combining validated measurement, informed consent, privacy and security controls, human oversight and longitudinal monitoring, will improve benefit–risk outcomes compared with opaque or technology-centred approaches.” is plausible and decision-relevant, but unvalidated. Proceed to controlled testing against the stated success and failure conditions. Confirm, narrow or reject this seed after effect sizes, uncertainty, subgroup outcomes, adverse effects, persistence and handback performance are observed.

Prior-art search performed before starting

PRIOR-ART SEED BASELINE — PARTIAL. The CSV records these literature domains: Neuroscience; neurotechnology; physiology; medical-device safety; rehabilitation; cybersecurity; bioethics; human rights; literature specific to Physiological Signatures. It also records: NIST Face Recognition Vendor Test — https://www.nist.gov/programs-projects/face-recognition-vendor-test-frvt; ISO/IEC biometrics standards — https://www.iso.org/; W3C Verifiable Credentials — https://www.w3.org/TR/vc-data-model/; Australian Privacy Act — https://www.legislation.gov.au/Series/C2004A03712. Evidence register status: “Seeded; authoritative source register initiated; empirical evidence not yet ingested”. This is defensible as a starting prior-art inventory, but not as proof of a completed systematic search because search dates, databases, exact queries, reviewer, result counts, screening decisions, claim mapping and a replayable receipt are absent.

Prior-art material named: Existing literature: Neuroscience; neurotechnology; physiology; medical-device safety; rehabilitation; cybersecurity; bioethics; human rights; literature specific to Physiological Signatures. References: NIST Face Recognition Vendor Test — https://www.nist.gov/programs-projects/face-recognition-vendor-test-frvt; ISO/IEC biometrics standards — https://www.iso.org/; W3C Verifiable Credentials — https://www.w3.org/TR/vc-data-model/; Australian Privacy Act — https://www.legislation.gov.au/Series/C2004A03712

Critical gap / next action

Create and attach a dated prior-art search log; lock the protocol; execute the proposed study; link raw data and analysis; then replace the results and conclusion placeholders with evidence-bounded findings.