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Development of a Virtual Reality Assessment of Everyday Living Skills

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Development and validation of a self-administered computerized cognitive assessment based on automatic speech

Hyun-Ho Kong^1,2, Kwangsoo Shin³, Dong-Seok Yang⁴

¹Department of Rehabilitation Medicine, Chungbuk National University Hospital, Cheongju, Republic of Korea.

|December 16, 2024

Summary

CogMo, a new computerized cognitive test with speech recognition, accurately identifies cognitive impairments in older adults. It shows high reliability and validity in assessing multi-domain cognitive and language functions.

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Area of Science:

Gerontology
Neuroscience
Computational Linguistics

Background:

Computerized cognitive tests (CCTs) often lack speech recognition, limiting language function assessment.
Assessing multi-domain cognitive functions, including language, is crucial for early detection of cognitive impairments.

Purpose of the Study:

To develop and validate CogMo, a self-administered CCT with automatic speech recognition (ASR) for assessing cognitive functions and language.
To evaluate CogMo's validity and reliability in discriminating cognitive impairments in older adults.

Main Methods:

CogMo was developed incorporating ASR for cognitive and language assessments.
Validity was assessed using Pearson's correlation with the Mini-Mental State Examination (MMSE) and ROC analysis.
Reliability was evaluated using intraclass correlation coefficient (ICC) for test-retest stability.

Main Results:

CogMo showed a very high correlation (r=0.98) between manual and automatic scoring for speech recognition.
Strong correlation (r=0.89) was observed between total CogMo and MMSE scores.
CogMo demonstrated high test-retest reliability (ICC=0.94) and diagnostic accuracy (AUC=0.89).

Conclusions:

CogMo is a valid and reliable tool for discriminating multi-domain cognitive impairment, including language function.
The ASR-integrated CCT effectively assesses cognitive abilities in community-dwelling older adults.
CogMo offers a promising approach for accessible and comprehensive cognitive health monitoring.