Adaptive Psychological Assessment Tool Using Remote Eye Tracking

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Solution Overview

Problem

Current psychological assessments for conditions like Autism Spectrum Disorder rely on subjective, qualitative measurements, which are prone to rater bias and inconsistent, lacking objective quantification.

Innovation Solution

An adaptive psychological assessment tool using remote eye tracking technology to measure gaze responses to visual stimuli, adjusting stimuli based on confidence values to provide objective, quantitative indices for diagnosis and monitoring.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of manufacture

If qualitative and subjective measurements are used for psychological assessment, then the assessment can be performed with simple methods, but the measurements are influenced by subjective perceptions and rater bias

Engineering Contradiction:
Improvesimplicity of assessment methodVSAvoidobjectivity of measurement
Core Design Contradiction:
Ease of manufactureVSMeasurement precision

Solution Approach 1:

The patent replaces subjective human judgment (mechanical assessment process) with automated eye tracking technology and computational algorithms. The system uses remote eye tracking devices to capture gaze data and applies machine learning algorithms to objectively analyze patterns, eliminating rater bias while maintaining assessment capability.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces eye tracking technology as an intermediary between the patient and the assessment process. Instead of directly observing and interpreting patient behavior, the system uses eye tracking devices to capture objective gaze data, which then serves as the basis for automated analysis and diagnosis.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If eye tracking technology is used to provide objective measurements, then measurement precision is improved, but device complexity increases

Engineering Contradiction:
Improveobjectivity of measurementVSAvoidcomplexity of assessment system
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent implements adaptive stimulus selection that automatically adjusts the assessment based on real-time eye tracking data. The system self-regulates by selecting subsequent stimuli based on confidence values derived from previous responses, eliminating the need for complex manual intervention or interpretation by assessors.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent creates a dynamic assessment process where the stimulus sequence adapts in real-time based on patient responses. The system continuously updates confidence values and adjusts subsequent stimulus selection accordingly, making the assessment flexible and responsive without requiring complex predetermined protocols.

Inventive Principle:
Principle #15Dynamics

3Measurement precision

If adaptive stimulus selection is used to improve diagnostic accuracy, then measurement precision is improved, but the assessment time increases

Engineering Contradiction:
Improvediagnostic accuracyVSAvoidassessment duration
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent implements a feedback loop where eye tracking data from each stimulus response is immediately analyzed to update confidence values, which then inform the selection of subsequent stimuli. This closed-loop system efficiently directs assessment resources toward the most informative measurements, improving accuracy without unnecessary delays.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS11583214B2Adaptive psychological assessment tool
Publication Date: 2023.02.21 THE CLEVELAND CLINIC FOUND
  • US11583214B2 patent drawing
  • US11583214B2 patent drawing
  • US11583214B2 patent drawing

AI summary

Systems and methods for performing psychological assessment are provided. An initial visual stimulus is selected and a series of steps are iteratively performed until associated confidence values for each of a plurality of indices meet a threshold value. The selected visual stimulus is provided at the display. Gaze tracking data is received from a remote eye tracking device in response to the selected stimulus being displayed to a patient. A deviation of the gaze tracking data from a standard response is determined. A score and the associated confidence value for at least one of the plurality of indices are adjusted based on the determined deviation of the gaze tracking data from the standard response. A new visual stimulus is selected based on the confidence values of the plurality of indices. Respective scores for the plurality of indices are provided to a user.