Digital assessment platform

Assessment Tools

A growing platform for AI-enabled hearing care, speech-in-noise assessment, patient-reported outcomes, and study workflows.

Platform principle

Each tool should make its purpose, data handling, export format, and validation status visible before a researcher or participant begins.

View version log Study workflow guide

Live

Available for current research workflows.

In validation

Usable as a preview while measurement work continues.

In development

Research direction is active, public workflow is still being designed.

Restricted

URL-only study workflow, not listed until protocols are finalized.

In validation

Public hearing screening

Community Hearing Screening

A two-digit-in-noise screen in Mandarin, Cantonese, Ningboese, Hangzhouese, Southern Min, and Fuzhouese, with guided calibration and a dedicated staff dashboard. Language-specific referral criteria require validation.

Stage: Community screening release
Data handling: Screening records use a dedicated API and storage directory, separate from research iDIN data.
Outputs: Language-labelled SRT, provisional Mandarin referral guidance, QC metadata, and staff CSV/JSON exports. New language versions report scores without referral classification.

Version note: Chinese-language 2-digit protocols v1

Launch screening

Live

Speech-in-noise assessment

integrated Digit-in-Noise Test

A browser-based screening workflow with calibration, device checks, adaptive SNR testing, and server-backed data capture.

Stage: Operational research tool
Data handling: Responses are submitted to the project backend for study use.
Outputs: Participant-level DIN records and server-side study exports.

Version note: Reliable result upload

Launch test

Live

Stimulus optimization

Digit Optimization Test

A fixed-SNR single-digit workflow for estimating PI functions and generating correction levels for sequence synthesis.

Stage: Stimulus development workflow
Data handling: Runs in the browser; individual and pooled results are exported by the researcher.
Outputs: Raw CSV, full JSON, PI summaries, and digit correction arrays.

Version note: Noise calibration enabled

Launch optimization

In validation

Everyday functioning PROM

HFEQ-Mandarin Research Preview

An ICF-based questionnaire workflow for Mandarin-speaking adults, covering hearing, communication, participation, support, personal resources, and health.

Stage: PROM research preview
Data handling: Browser-only completion and export for research preview use.
Outputs: Domain scores, item responses, JSON, and CSV.

Version note: Manuscript-linked preview

Open preview

In development

AI in hearing care

AI-Guided Hearing-Care Workflows

Planned tools for AI-supported questionnaire guidance, triage, interpretation, and care-pathway support, developed with human oversight.

Stage: Design and validation planning
Data handling: No public tool yet; future tools will separate research data, generated outputs, and review records.
Outputs: Planned: evaluation packages, clinician review exports, and patient-facing explanations.

Version note: Concept stage

View research theme

Data safety

Tool design should make research data boundaries obvious.

Browser-only tools are useful for pilots and demonstrations. Server-backed tools need deployment safeguards, backups, and explicit export routes. The platform now separates static site releases from DIN study data so interface updates do not overwrite live records.

Restricted workflows

Study-specific tools can remain URL-only until protocols, consent language, and review forms are finalized.

See version notes

Study planning

Need a research workflow instead of a public demo?

Contact the group before using server-backed tools in a study so language versioning, calibration, export format, and backup expectations are clear.

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