Human-Centred Information-Value Measurement Pilot
Challenge
Explore whether AI outputs and digital interactions can be evaluated in terms of clarity, cognitive load, emotional regulation, agency, safety and dependency risk, creating a bridge from consumer experience to enterprise human-impact telemetry and governance.
Why the problem is difficult
Human-impact dimensions are subtle, subjective and easy to overclaim; measurement must be careful and privacy-preserving.
DBRF OEM contribution
Scientific framing, information-value methodology, neuroscience-informed dimensions, scoring/model architecture, software prototyping, user-experience logic and pilot design.
Approach
- 01Define neuroscience-informed dimensions
- 02Design scoring/model architecture
- 03Prototype software and UX logic
- 04Design a privacy-preserving pilot
Work packages
- Information-value methodology
- Scoring/model architecture
- Software prototyping
- User-experience logic
- Pilot design
Outputs
Skills assembled
Evidence and validation boundary
Performance is described only at the level supported by a named workload and an evidence record. No universal performance transfer is implied.
This is a research and product-development programme. It is not presented as a medical device, clinical diagnostic, treatment or substitute for professional healthcare.
IP / rights statement
Developed as an OEM scientific and engineering contribution. Technology and intellectual-property rights remain with the applicable contracting or rights-holding organisation. DBRF does not claim ownership unless expressly stated in a verified record.