BCI Calibration

Definition

BCI Calibration examines efficient personalisation of BCI models without excessive training burden or hidden bias within the broader domain of the design, validation and long-term use of brain–computer interfaces and neurotechnologies.

Why this matters

Failures concerning efficient personalisation of BCI models without excessive training burden or hidden bias can cause physical or psychological harm, loss of function, privacy invasion, identity compromise, exclusion, coercion or irreversible impact on human agency.

Research questions

Under which conditions can efficient personalisation of BCI models without excessive training burden or hidden bias be delivered, measured or protected reliably, and how do outcomes vary by person, device, duration, context and governance controls?

Hypotheses

A transparent, safety-bounded and person-centred approach to bci calibration, 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.

Proposed methods

controlled BCI task testing; signal-quality analysis; calibration studies; longitudinal cohort follow-up; usability and accessibility testing; human-factors analysis; adverse-event monitoring; expert and affected-user review; reproducibility testing; methods adapted specifically to BCI Calibration

Stakeholders and beneficiaries

BCI users; patients; clinicians; carers; neuroscientists; rehabilitation specialists; device manufacturers; regulators; accessibility advocates