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This study aims to evaluate a new artificial intelligence (AI)-based method for measuring cognitive function using speech recordings. Participants will complete a short storytelling task in which they describe a story based on an image while their voice is recorded using a computer or mobile device.
The speech recordings will be analyzed using AI technology to identify patterns in speech that may be related to cognitive function. The system will then estimate scores that correspond to commonly used cognitive tests.
To evaluate the accuracy of this method, the AI-generated scores will be compared with results from standard cognitive assessments administered by trained researchers. These assessments may include tests commonly used to measure memory, attention, and other cognitive abilities.
The goal of this study is to determine whether speech analysis using AI can provide a convenient and efficient approach for cognitive assessment. If successful, this technology may help support early detection of cognitive decline and provide a practical tool for large-scale or remote cognitive screening.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| storytelling speech task | Experimental | Participants will complete a storytelling speech task using a web-based platform followed by standardized cognitive assessments administered by trained research personnel. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| AI-Based Storytelling Speech Assessment | Behavioral | Participants will be asked to describe a short story based on a randomly presented image while their speech is recorded using a web-based system on a computer or mobile device. The recorded speech will be analyzed using artificial intelligence algorithms to extract acoustic and linguistic features that may reflect cognitive function. |
| Measure | Description | Time Frame |
|---|---|---|
| Correlation Between AI-Predicted Cognitive Scores and Standard Cognitive Assessment Scores | The correlation between cognitive scores predicted by the AI-based speech analysis system and scores obtained from clinician-administered cognitive assessments, including the Mini-Mental State Examination (MMSE) and the Wechsler Adult Intelligence Scale (WAIS). | Immediately after completion of the study session |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Ching-Yi WU, ScD | Contact | +886-3-2118800 | 5761 | cywu@mail.cgu.edu.tw |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Taoyuan | Recruiting | Taoyuan | Taiwan |
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| ID | Term |
|---|---|
| D060825 | Cognitive Dysfunction |
| ID | Term |
|---|---|
| D003072 | Cognition Disorders |
| D019965 | Neurocognitive Disorders |
| D001523 | Mental Disorders |
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