An Empirical Analysis of AI Related Scientific Knowledge and Technologies To Support Elderly Independent Living

STIPM STI Policy and Management Journal Pub Date : 2021-12-15 DOI:10.14203/stipm.2021.314

Fei Yuan, K. Miyazaki, Santiago Ruiz-Navas

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Abstract

The constant increase of an aging society unveils social and economic problems. Elderly independent living (EIL) is supported by numerous services and technologies that take care of their emotional and physical health. Previous studies have reviewed the potential of Artificial Intelligence (AI) applications to support health care, such as AI robots and intelligent senior well-being support systems. A growing number of scientists and tech companies are working on AI applications to help the elderly independent living. We propose to identify AI technological innovation opportunities when developing AI solutions to help the elderly independent living. The research consists of two steps: 1) Identifying AI solutions to help elderly independent living by implementing scientometric analysis on scientific publications related to AI technologies and the elderly. 2) The review and national-level comparison of the identified AI solutions under the proposed framework of elderly need, supporting function, underlying technologies and scientific knowledge. Based on an analysis of the literature on emerging technology in the third AI Boom, we pinpoint science mapping to grasp the situation of research and development of emerging technologies in various regions, to explore the status of technological and research cooperation, to find out the hot research topics of AI technologies in dealing with the problem of aging, to discover the direction of technological development and innovation opportunities in the future, and to combine with the actual need of EIL for exploring the innovative potential of AI technology. From our analysis we can argue that solutions to support elderly independent living require the integration of knowledge from various disciplines, services and products such as machine learning, sensors, data analysis, IoT, wearable devices, sociology and healthcare.Keywords : Artificial Intelligence, Aging society, Elderly independent living, Scientometric, Network analysis

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人工智能相关科学知识和技术支持老年人独立生活的实证分析

老龄化社会的不断增加揭示了社会和经济问题。老年人独立生活得到许多服务和技术的支持，这些服务和技术照顾老年人的情绪和身体健康。以前的研究已经回顾了人工智能(AI)应用在支持医疗保健方面的潜力，例如人工智能机器人和智能老年人福利支持系统。越来越多的科学家和科技公司正在研究人工智能应用程序，以帮助老年人独立生活。我们建议在开发人工智能解决方案以帮助老年人独立生活时，识别人工智能技术创新机会。研究包括两个步骤:1)通过对与人工智能技术和老年人相关的科学出版物进行科学计量分析，确定帮助老年人独立生活的人工智能解决方案。2)在提出的老年需求、支撑功能、底层技术和科学知识框架下，对已确定的人工智能解决方案进行回顾和国家层面的比较。通过对第三次人工智能热潮中新兴技术相关文献的分析，我们定位科学图谱，掌握各地区新兴技术的研发情况，探索科技与科研合作的现状，找出人工智能技术在应对老龄化问题方面的研究热点，发现未来技术发展方向和创新机会。并结合EIL的实际需求，探索人工智能技术的创新潜力。从我们的分析中可以看出，支持老年人独立生活的解决方案需要整合不同学科、服务和产品的知识，如机器学习、传感器、数据分析、物联网、可穿戴设备、社会学和医疗保健。关键词:人工智能，老龄化社会，老年人独立生活，科学计量学，网络分析

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来源期刊

STIPM STI Policy and Management Journal

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0.00%

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审稿时长

12 weeks