CoSupport AI
What is Readable Technologies?
Readable Technologies provides an innovative approach to ADHD risk assessment. It utilizes proprietary eye-tracking technology and an advanced algorithm to analyze distinct eye movement patterns that often correlate with ADHD. Users simply read text passages aloud while facing their webcam for 90 seconds.
The tool generates a personalized report indicating a low, moderate, or high chance of ADHD based on objective biomarkers identified during the reading session. This empirical evaluation serves as a valuable aid for individuals seeking to understand their potential ADHD risk and can facilitate informed discussions with healthcare providers for a formal diagnosis and support plan. It offers a faster and potentially more accessible alternative to traditional screening methods.
Features
- Rapid Evaluation: Assess ADHD risk in just 90 seconds.
- Objective Biomarkers: Uses eye-tracking technology to detect distinct ADHD-related eye movement patterns.
- Personalized Report: Provides a visual report indicating low, moderate, or high chance of ADHD.
- Neurotypical Comparison: Shows user eye patterns compared to examples of neurotypical readers.
- Webcam-Based: Requires only a standard webcam for the evaluation.
- Data Privacy: Processes data locally before sending anonymized information to the database.
Use Cases
- Individuals suspecting they might have ADHD seeking a preliminary assessment.
- Providing objective data points to share with medical professionals during ADHD diagnosis.
- Reducing wait times and costs associated with initial ADHD screening.
- Understanding personal reading patterns and potential links to cognitive differences.
FAQs
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How fast should I read during the evaluation?
The evaluation does not measure reading speed. Read the text out loud at a normal pace, without rushing. -
Is the Readable Technologies report a formal diagnosis?
No, the report and evaluation are for educational purposes only. A formal ADHD diagnosis can only be made by a qualified medical professional. -
How accurate is the ADHD prediction?
The underlying logistic regression classifier has demonstrated an accuracy of 82% in predicting ADHD risk. -
What happens to my personal data?
Data is processed locally on your computer. Only anonymized data, without personally identifiable information, is sent to the database during the evaluation.
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