Research
Measuring vigilance and mental workload without wearables
A human-factors protocol almost always hits the same wall: the reliable measure is intrusive, and the non-intrusive one is contestable. A camera used properly moves that trade-off.
The stake
A measurement is only worth something to a protocol if you can say what produced it. Our explainable AI architectures justify every conclusion, which makes the data defensible in publication and in ethics review.
Models trained and evaluated against objective reference datasets, in partnership with INRIA, IRBA and Université Paris-Saclay.
On the ground
Where ASLAN operates, and what it measures
Operational contexts
- Laboratory experimental protocols
- Field studies in real environments
- Driving and flight simulators
- Ergonomics and workstation design
- Interface and procedure evaluation
What we measure
- Continuous oculometric indicators
- Estimated mental workload, aligned to trials
- Vigilance trajectory across the protocol
- Natural-language justification of every conclusion
What ASLAN enables
- Instrument a protocol without wearables, and so without altering the task under study.
- Obtain a continuous vigilance and workload measurement, aligned with task events.
- Export time series and model justifications for statistical analysis.
Other sectors
