Cognitive load assessment based on pupil dilation
Patent Information
- Application Number
- DE602018078065
- Authority / Receiving Office
- DE · DE
- Patent Type
- Patents
- Current Assignee / Owner
- Priority Date
- 2017-10-03
- Filing Date
- 2018-10-01
- Publication Date
- 2025-01-01
- Estimated Expiration
- 2038-10-01
AI Technical Summary
Existing methods for cognitive load estimation, such as physiological sensing and questionnaire-based approaches, are either invasive, costly, or lack continuous monitoring, making it challenging to accurately differentiate between levels of cognitive load, especially in scenarios where wearable sensors are uncomfortable or impractical.
A processor-implemented method using low-cost, non-intrusive infrared-based eye trackers to capture raw pupil size data and quantify cognitive load through metrics like percentage change in pupil diameter and mean frequency, allowing for remote and real-time estimation of intrinsic cognitive load, distinguishing between low and high load tasks.
The proposed method provides accurate and consistent differentiation between low and high cognitive load levels, outperforming traditional metrics like percentage change in pupil diameter, perimeter-area ratio, and form factor, and correlates well with Intelligence Quotient levels, ensuring reliable cognitive load estimation.