Perceptual & Cognitive Mapping System (PCMS)

Who is it for?

• People who want to understand perception and thinking style better — without labels and without clinical claims.
• Researchers and educators exploring dimensional cognition models and linking open research data with self-reflection.
• Organisations that want practical insight into neurodiversity at work — as orientation, not as screening or selection.

What PCMS is

PCMS is an adaptive questionnaire backed by a ten-dimensional routing model (axes F–V, documented in the repository). It produces descriptive profiles and visualisations intended for reflection and research datasets—not labels that assign people to diagnostic categories.

The codebase includes consent flows, internationalisation, optional Supabase-backed logging for studies, and documentation that states limits clearly. Research-oriented options (e.g. downloadable session bundles, paper/CSV import paths, offline-oriented deployment) are documented in the repository—operators choose what to enable. Persisted sessions can record which question bank, version, stem bundle, and adaptive policy were used; full-session exports are the reproducible record, while URL/share payloads are compressed by design and omit several research fields. Technical depth (pipeline architecture, scoring model) lives in the README and docs.

Why dimensions, not labels

Human cognitive traits vary continuously. Dimensional approaches are often a better fit for prediction and nuance than forced categories—and in some cultural contexts, imported categorical labels can cause stigma or exclusion. PCMS was designed with that tension in mind.

Where helpful, the project can still relate profiles to common neurodevelopmental presentations—but only as correlation framed in research language, never as a clinical verdict.

Technical snapshot

Built with Next.js and TypeScript, Tailwind, next-intl, optional Supabase storage; Vitest and Playwright run in CI. Content and locales live in the repo; the canonical technical reference is GitHub.

Ethics and use

The authors require informed consent before assessments, avoid collecting personal identifiers in the default design, and warn operators not to use outputs for individual placement or institutional gatekeeping. If you run studies, you remain responsible for ethics approval and data protection in your jurisdiction.