https://scholars.lib.ntu.edu.tw/handle/123456789/597587
標題: | Identifying Mild Cognitive Impairment by Using Human-Robot Interactions | 作者: | YU-LING CHANG Luo D.-H. TSUNG-REN HUANG JOSHUA GOH SU-LING YEH LI-CHEN FU |
關鍵字: | Cognitive assessment; dementia; health care; human-robot interaction; mild cognitive impairment; older adults | 公開日期: | 2022 | 卷: | 85 | 期: | 3 | 起(迄)頁: | 1129-1142 | 來源出版物: | Journal of Alzheimer's Disease | 摘要: | Background: Mild cognitive impairment (MCI), which is common in older adults, is a risk factor for dementia. Rapidly growing health care demand associated with global population aging has spurred the development of new digital tools for the assessment of cognitive performance in older adults. Objective: To overcome methodological drawbacks of previous studies (e.g., use of potentially imprecise screening tools that fail to include patients with MCI), this study investigated the feasibility of assessing multiple cognitive functions in older adults with and without MCI by using a social robot. Methods: This study included 33 older adults with or without MCI and 33 healthy young adults. We examined the utility of five robotic cognitive tests focused on language, episodic memory, prospective memory, and aspects of executive function to classify age-associated cognitive changes versus MCI. Standardized neuropsychological tests were collected to validate robotic test performance. Results: The assessment was well received by all participants. Robotic tests assessing delayed episodic memory, prospective memory, and aspects of executive function were optimal for differentiating between older adults with and without MCI, whereas the global cognitive test (i.e., Mini-Mental State Examination) failed to capture such subtle cognitive differences among older adults. Furthermore, robot-administered tests demonstrated sound ability to predict the results of standardized cognitive tests, even after adjustment for demographic variables and global cognitive status. Conclusion: Overall, our results suggest the human-robot interaction approach is feasible for MCI identification. Incorporating additional cognitive test measures might improve the stability and reliability of such robot-assisted MCI diagnoses. © 2022 - IOS Press. All rights reserved. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124174274&doi=10.3233%2fJAD-215015&partnerID=40&md5=381ef9d873e0c131381bc83b55e2fae5 https://scholars.lib.ntu.edu.tw/handle/123456789/597587 |
ISSN: | 13872877 | DOI: | 10.3233/JAD-215015 | SDG/關鍵字: | adult; aged; Article; California verbal learning test; clinical article; clinical assessment; cognition; cognitive defect; color word interference test; controlled study; Delis-Kaplan executive function system; episodic memory; executive function; female; human; human robot interaction; language ability; male; mental performance; mild cognitive impairment; Mini Mental State Examination; neuropsychological test; prospective memory; screening test; social interaction; task performance; Wechsler adult intelligence scale; Wechsler memory scale; young adult; language; middle aged; psychology; questionnaire; robotics; Adult; Aged; Cognition; Cognitive Dysfunction; Executive Function; Female; Humans; Language; Male; Memory, Episodic; Middle Aged; Neuropsychological Tests; Robotics; Social Interaction; Surveys and Questionnaires |
顯示於: | 腦與心智科學研究所 |
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