Towards long-term tracking and detection of early dementia : a computerized cognitive test battery with gamification
Effective diagnosis of mild cognitive impairment (MCI), in many cases preceding dementia, is important in determining the efficacy of dementia treatments. Inherent in the transition from normal ageing to MCI to and then to dementia is cognitive decline, which can be detected using multiple assessmen...
| Main Authors: | , , , , , , , , |
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| Format: | Conference Paper |
| Language: | English |
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2020
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| Online Access: | https://hdl.handle.net/10356/139062 |
| _version_ | 1826109656111513600 |
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| author | Zeng, Zhiwei Fauvel, Simon Hsiang, Benny Tan Toh Wang, Di Qiu, Yang Khuan, Pamela Chew Oi Leung, Cyril Shen, Zhiqi Chin, Jing Jih |
| author2 | School of Computer Science and Engineering |
| author_facet | School of Computer Science and Engineering Zeng, Zhiwei Fauvel, Simon Hsiang, Benny Tan Toh Wang, Di Qiu, Yang Khuan, Pamela Chew Oi Leung, Cyril Shen, Zhiqi Chin, Jing Jih |
| author_sort | Zeng, Zhiwei |
| collection | NTU |
| description | Effective diagnosis of mild cognitive impairment (MCI), in many cases preceding dementia, is important in determining the efficacy of dementia treatments. Inherent in the transition from normal ageing to MCI to and then to dementia is cognitive decline, which can be detected using multiple assessments over an extended period of time. Computerized cognitive tests arise as a promising way of long-term cognitive monitoring in home environment and supplementing clinical evaluation. Compared to conventional paper-and-pencil tests, they are cheaper, more repeatable, and easier to distribute and administer. Over the years, research efforts have been devoted to improve the validity, reliability and comprehensiveness of the computerized cognitive tests. However, it has long been omitted that the usability and entertainment aspects are also crucial to their overall effectiveness and user experience. To reduce drop-out rates and improve effectiveness of long-term cognitive monitoring, we present a first-of-its-kind gamified computerized cognitive test battery, called Virtual ADL+ House. It consists of a series of mini-games, each embedded a cognitive test and featured one of the daily living activities in the Lawton IADL. Virtual ADL+ House can be used to monitor cognitive functions in long-term, alert signs of cognitive decline and provide longitudinal data to facilitate clinical diagnosis. In focus group studies conducted with doctors and older adults, we received positive feedback on the usability and entertainment value of Virtual ADL+ House. We plan to evaluate the validity and reliability of it in subsequent studies. |
| first_indexed | 2024-10-01T02:21:48Z |
| format | Conference Paper |
| id | ntu-10356/139062 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T02:21:48Z |
| publishDate | 2020 |
| record_format | dspace |
| spelling | ntu-10356/1390622020-05-15T04:13:24Z Towards long-term tracking and detection of early dementia : a computerized cognitive test battery with gamification Zeng, Zhiwei Fauvel, Simon Hsiang, Benny Tan Toh Wang, Di Qiu, Yang Khuan, Pamela Chew Oi Leung, Cyril Shen, Zhiqi Chin, Jing Jih School of Computer Science and Engineering Interdisciplinary Graduate School (IGS) Lee Kong Chian School of Medicine (LKCMedicine) ICCSE'18: The 3rd International Conference on Crowd Science and Engineering Engineering::Computer science and engineering Dementia Early Detection Effective diagnosis of mild cognitive impairment (MCI), in many cases preceding dementia, is important in determining the efficacy of dementia treatments. Inherent in the transition from normal ageing to MCI to and then to dementia is cognitive decline, which can be detected using multiple assessments over an extended period of time. Computerized cognitive tests arise as a promising way of long-term cognitive monitoring in home environment and supplementing clinical evaluation. Compared to conventional paper-and-pencil tests, they are cheaper, more repeatable, and easier to distribute and administer. Over the years, research efforts have been devoted to improve the validity, reliability and comprehensiveness of the computerized cognitive tests. However, it has long been omitted that the usability and entertainment aspects are also crucial to their overall effectiveness and user experience. To reduce drop-out rates and improve effectiveness of long-term cognitive monitoring, we present a first-of-its-kind gamified computerized cognitive test battery, called Virtual ADL+ House. It consists of a series of mini-games, each embedded a cognitive test and featured one of the daily living activities in the Lawton IADL. Virtual ADL+ House can be used to monitor cognitive functions in long-term, alert signs of cognitive decline and provide longitudinal data to facilitate clinical diagnosis. In focus group studies conducted with doctors and older adults, we received positive feedback on the usability and entertainment value of Virtual ADL+ House. We plan to evaluate the validity and reliability of it in subsequent studies. NRF (Natl Research Foundation, S’pore) MOH (Min. of Health, S’pore) Accepted version 2020-05-15T04:13:24Z 2020-05-15T04:13:24Z 2018 Conference Paper Zeng, Z., Fauvel, S., Hsiang, B. T. T., Wang, D., Qiu, Y., Khuan, P. C. O., . . . Chin, J. J. (2018). Towards long-term tracking and detection of early dementia : a computerized cognitive test battery with gamification. Proceedings of the 3rd International Conference on Crowd Science and Engineering (ICCSE'18). doi:10.1145/3265689.3265719 978-1-4503-6587-1 https://hdl.handle.net/10356/139062 10.1145/3265689.3265719 2-s2.0-85056735821 en © 2018 Association for Computing Machinery. All rights reserved. This paper was published in International Conference on Crowd Science and Engineering and is made available with permission of Association for Computing Machinery. application/pdf |
| spellingShingle | Engineering::Computer science and engineering Dementia Early Detection Zeng, Zhiwei Fauvel, Simon Hsiang, Benny Tan Toh Wang, Di Qiu, Yang Khuan, Pamela Chew Oi Leung, Cyril Shen, Zhiqi Chin, Jing Jih Towards long-term tracking and detection of early dementia : a computerized cognitive test battery with gamification |
| title | Towards long-term tracking and detection of early dementia : a computerized cognitive test battery with gamification |
| title_full | Towards long-term tracking and detection of early dementia : a computerized cognitive test battery with gamification |
| title_fullStr | Towards long-term tracking and detection of early dementia : a computerized cognitive test battery with gamification |
| title_full_unstemmed | Towards long-term tracking and detection of early dementia : a computerized cognitive test battery with gamification |
| title_short | Towards long-term tracking and detection of early dementia : a computerized cognitive test battery with gamification |
| title_sort | towards long term tracking and detection of early dementia a computerized cognitive test battery with gamification |
| topic | Engineering::Computer science and engineering Dementia Early Detection |
| url | https://hdl.handle.net/10356/139062 |
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