Elderly friendliness evaluation of mobile assistants
The rapidly increasing elderly population in many developed and developing countries poses great challenges to elderly care systems. To alleviate the problem of a shrinking workforce to deliver elderly care, using mobile intelligent assistants to lessen the caregivers' workload becomes a promis...
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2017
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sg-smu-ink.sis_research-70842021-09-29T12:58:38Z Elderly friendliness evaluation of mobile assistants WANG, Di YU, Xinjia FAUVEL, Simon TAN, Ah-hwee MIAO, Chunyan The rapidly increasing elderly population in many developed and developing countries poses great challenges to elderly care systems. To alleviate the problem of a shrinking workforce to deliver elderly care, using mobile intelligent assistants to lessen the caregivers' workload becomes a promising solution. However, the friendliness of such mobile assistants, which is seldom measured in a quantitative manner, may hinder their acceptance by the elderly users. In this paper, we propose a formalized systematic approach named Elderly Friendliness Evaluation Methodology (EFEM) to measure the elderly friendliness of any product, service or system. Furthermore, we apply EFEM to evaluate the elderly friendliness of five commercial mobile assistants and three prototypes. The comparison results show that the commercial assistants are less elderly-friendly than the prototypes. The high Elderly Friendliness Scores (EFSs) achieved by the prototypes suggest that they are highly likely to be well accepted by elderly users. 2017-07-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/6081 info:doi/10.1109/AGENTS.2017.8015316 https://ink.library.smu.edu.sg/context/sis_research/article/7084/viewcontent/Elderly_Friendliness_Evaluation_of_Mobile_Assistants_accepted.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Databases and Information Systems Software Engineering |
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Databases and Information Systems Software Engineering WANG, Di YU, Xinjia FAUVEL, Simon TAN, Ah-hwee MIAO, Chunyan Elderly friendliness evaluation of mobile assistants |
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The rapidly increasing elderly population in many developed and developing countries poses great challenges to elderly care systems. To alleviate the problem of a shrinking workforce to deliver elderly care, using mobile intelligent assistants to lessen the caregivers' workload becomes a promising solution. However, the friendliness of such mobile assistants, which is seldom measured in a quantitative manner, may hinder their acceptance by the elderly users. In this paper, we propose a formalized systematic approach named Elderly Friendliness Evaluation Methodology (EFEM) to measure the elderly friendliness of any product, service or system. Furthermore, we apply EFEM to evaluate the elderly friendliness of five commercial mobile assistants and three prototypes. The comparison results show that the commercial assistants are less elderly-friendly than the prototypes. The high Elderly Friendliness Scores (EFSs) achieved by the prototypes suggest that they are highly likely to be well accepted by elderly users. |
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text |
author |
WANG, Di YU, Xinjia FAUVEL, Simon TAN, Ah-hwee MIAO, Chunyan |
author_facet |
WANG, Di YU, Xinjia FAUVEL, Simon TAN, Ah-hwee MIAO, Chunyan |
author_sort |
WANG, Di |
title |
Elderly friendliness evaluation of mobile assistants |
title_short |
Elderly friendliness evaluation of mobile assistants |
title_full |
Elderly friendliness evaluation of mobile assistants |
title_fullStr |
Elderly friendliness evaluation of mobile assistants |
title_full_unstemmed |
Elderly friendliness evaluation of mobile assistants |
title_sort |
elderly friendliness evaluation of mobile assistants |
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Institutional Knowledge at Singapore Management University |
publishDate |
2017 |
url |
https://ink.library.smu.edu.sg/sis_research/6081 https://ink.library.smu.edu.sg/context/sis_research/article/7084/viewcontent/Elderly_Friendliness_Evaluation_of_Mobile_Assistants_accepted.pdf |
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