VR-Based ADHD Severity Evaluation Using AI and Behavioral Data
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Solution Overview
Problem
Conventional ADHD diagnosis methods lack objectivity and fail to assess severity and progression accurately, as they do not utilize an isolated environment and do not measure the severity and progression of ADHD effectively.
Innovation Solution
An ADHD severity evaluation system that uses correlations between data gathered by Virtual Reality (VR) and the ADHD-RS, employing a content storage part, VR implementation data storage, an ADHD rating scale storage, and an artificial intelligence part to derive classification values and calculate scores based on VR implementation data, ensuring objectivity and accuracy in assessing ADHD severity and progression.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional ADHD diagnosis methods are used, then the diagnosis process is simple, but the objectivity and accuracy of evaluation are insufficient
Solution Approach 1:
The patent introduces VR technology as an intermediary between the subject and the evaluation system. The VR environment serves as a controlled mediator that objectively captures behavioral data without human bias, while the AI algorithm acts as another intermediary to process and interpret this data into diagnostic insights, thereby resolving the contradiction between evaluation objectivity and system complexity.
Solution Approach 2:
The patent replaces traditional manual observation and subjective clinical assessment (mechanical/human system) with automated VR-based tracking and AI analysis (digital system). This substitution eliminates human subjectivity in evaluation while systematically capturing multiple behavioral dimensions, thus improving measurement precision despite increased technical complexity.
2Measurement precision
If conventional ADHD diagnosis methods are used, then the evaluation process is quick, but the ability to assess severity and progression is limited
Solution Approach 1:
The patent implements preliminary action by having subjects complete VR tasks before formal diagnosis, generating baseline behavioral data in advance. The system pre-processes and stores this data, so that when severity and progression assessment are needed, the analysis can be performed quickly on already-captured comprehensive data, thus improving assessment accuracy without proportionally increasing evaluation time.
Solution Approach 2:
The patent enables continuous useful action by using VR technology to capture behavioral data continuously across multiple dimensions (eye movement, head movement, voice, activity) throughout the evaluation process. This continuous multi-dimensional data collection allows for comprehensive severity and progression assessment that is more accurate than discrete traditional methods, while the automated processing keeps time loss minimal.
3Measurement precision
If VR-based ADHD evaluation system is implemented, then data collection accuracy is improved, but the complexity of data processing increases
Solution Approach 1:
The patent applies self-service by designing the AI algorithm to automatically process, analyze, and interpret the multi-dimensional VR data without requiring manual intervention. The system self-calibrates by comparing VR behavioral data with ADHD-RS clinical ratings, automatically adjusting and optimizing its evaluation model, thus managing data processing complexity through automation rather than human effort.
Solution Approach 2:
The patent implements universality by creating a multi-functional AI processing system that handles multiple types of VR data (movement, voice, activity) and performs multiple functions (data cleaning, feature extraction, severity assessment, progression tracking) within a single integrated framework. This universal processing approach manages complexity by consolidating multiple processing tasks into one coherent system rather than requiring separate systems for each function.
Data Source
AI summary
An ADHD severity evaluation system using correlations between data gathered by VR and an ADHD-RS is provided. The ADHD severity evaluation system allows for gathering accurate data on a subject in an isolated and controlled environment by using VR, and improves the accuracy of ADHD diagnosis by measuring the severity and progression of ADHD. This can help determine an appropriate method and procedure for treating and/or relieving ADHD.