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...

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Main Authors: Zeng, Zhiwei, Fauvel, Simon, Hsiang, Benny Tan Toh, Wang, Di, Qiu, Yang, Khuan, Pamela Chew Oi, Leung, Cyril, Shen, Zhiqi, Chin, Jing Jih
Other Authors: School of Computer Science and Engineering
Format: Conference or Workshop Item
Language:English
Published: 2020
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Online Access:https://hdl.handle.net/10356/139062
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.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
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Engineering::Computer science and engineering
Dementia
Early Detection
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
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.
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
format Conference or Workshop Item
author 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
title 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_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_sort towards long-term tracking and detection of early dementia : a computerized cognitive test battery with gamification
publishDate 2020
url https://hdl.handle.net/10356/139062
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