Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
7-2017
Abstract
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.
Discipline
Databases and Information Systems | Software Engineering
Research Areas
Data Science and Engineering
Publication
Proceedings of 2017 IEEE International Conference on Agents (ICA), Beijing, China, July 6-9
First Page
1
Last Page
6
ISBN
9781538607695
Identifier
10.1109/AGENTS.2017.8015316
Publisher
IEEE
City or Country
New York
Citation
1
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.