AI4REALNET Human Assessment Module
Human Assessment Model (HAM) aims to provide a real-time quantification of the cognitive and stress level of the operator to support the level of autonomy of the system in a seamless and implicit way, without interacting with the operator.
Algorithm #1.1 | Quantification of Cognitive Performance
- Short description: Personalised regression to quantify cognitive performance from electrocardiogram.
- State-of-the-art: Modulation of cognition in ill individuals
- Contribution: Novel method to modulate cognitive performance from ECG physiology.
Algorithm #1.2 | Classification of Stress Level
- Short description: Personalised classification of stress from electrocardiogram.
- State-of-the-art: Non-personalised modulation of stress
- Contribution: Novel method to modulates stress from ECG physiology on working environments
Motivation: If the system automatically, without any direct intervention of the human (implicit interaction), is able to adapt itself to the operator, we believe it can contribute to a higher level of empathy and trust with the AI system, leading to a higher acceptability.
Use cases: Power grids, railway networks, and air traffic networks can be integrated with HAM. It is not dependent on the use case, only on which use cases the tune autonomy level system will be integrated.