Ocular system to optimize learning
Inventors
Zakariaie, David • McNeil, Kathryn • Rowe, Alexander • Brown, Joseph • Herrmann, Patricia • Bowden, Jared • Anabtawi, Taumer • Sommerlot, Andrew R. • Weisberg, Seth • Choi, Veronica
Assignees
Publication Number
US-11640572-B2
Publication Date
2023-05-02
Expiration Date
2040-12-18
Interested in licensing this patent?
MTEC can help explore whether this patent might be available for licensing for your application.
Abstract
A method to optimize learning based upon ocular information of a subject includes providing a video camera for recording a close-up view of a subject's eye. A first electronic display shows a plurality of educational subject matter to the subject. A second electronic display shows an output to an instructor. Changes in ocular signals of the subject are processed through the use optimized algorithms. A cognitive state model determines a low to a high cognitive load experienced by the subject. The cognitive state model is evaluated based on the changes in the ocular signals for determining a probability of the low to the high cognitive load experienced by the subject. The probability of the low to the high cognitive load experienced by the subject is displayed to the instructor.
Core Innovation
The invention is a method to optimize learning based on ocular information of a subject. It utilizes a video camera to record close-up views of at least one eye while the subject engages with educational subject matter on a first electronic display. A second electronic display is provided to show outputs to an instructor. Changes in the subject’s ocular signals are processed by optimized algorithms, and a cognitive state model is used to determine and display the probability of low to high cognitive load experienced by the subject.
The system provides real-time feedback to instructors regarding the learner's cognitive load, leveraging a variety of ocular signals such as eye movements, saccades, fixations, and pupil metrics, among others. The cognitive state model, evaluated through these ocular changes, identifies the extent to which the subject is drawing on mental resources, enabling tailored instructional adjustments.
The problem being addressed is the need for improved ocular systems, particularly those which can assess and optimize learning based on objective, physiological measurements. By linking eye-related physiological responses to cognitive states during learning, the system overcomes limitations of traditional observational or self-report-based techniques, providing an adaptive and data-driven way to enhance learning outcomes.
Claims Coverage
The patent includes one independent claim, outlining the primary inventive feature of optimizing learning based on ocular information with real-time instructor feedback.
Optimizing learning based on ocular information with real-time cognitive load feedback to instructor
A method is provided that comprises the following main steps: 1. A video camera records a close-up view of at least one eye of a subject. 2. A first electronic display presents multiple educational subject matter to the subject. 3. A second electronic display presents output to an instructor. 4. A computing device, electronically connected to the camera and both displays, processes ocular information to identify changes in ocular signals using optimized algorithms. 5. A cognitive state model determines cognitive load (from low to high) based on these ocular signals, measuring the extent to which the subject draws on mental resources. 6. The cognitive state model is evaluated, and a probability of the subject’s cognitive load is determined and displayed to the instructor in real time.
The claim coverage centers on a system and method that integrates ocular data acquisition, signal processing, cognitive load modeling, and real-time feedback to instructors to optimize learning. The main inventive feature is the linkage between real-time ocular physiological monitoring and adaptive instructional feedback.
Stated Advantages
Provides adaptive training tailored to the unique learning pace of individuals, resulting in accelerated learning and better retention of curriculum material.
Enables instructors to adopt and adjust tasks so participants can stay in the optimal learning point for best learning results.
Allows for objective, non-invasive, real-time measurement of cognitive load and learning states using ocular metrics.
Documented Applications
Use in targeted learning systems to monitor and optimize skill-based training and individual learning trajectories.
Enabling adaptive instructional systems for real-time monitoring of cognitive load and memory formation during educational tasks.
Interested in licensing this patent?