The landscape of smart aging: Topics, applications, and agenda

Il Yeol Song, Min Song, Tatsawan Timakum, Su Ryeon Ryu, Hanju Lee

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

Smart aging is an emerging research topic that has a profound impact on society and well-being of aging population. To the best of our knowledge, there has been no systematic analysis of grasping what research has been conducted on smart aging. Thus, there is no discussion of major issues and future directions of smart aging. In this paper, we provide an overview of smart aging in three ways: 1) to synthesize the components of smart aging based on the comprehensive literature review, 2) to examine the range of topics extracted from 3760 web pages and 3) to analyze the research activities on smart aging by conducting a content analysis of 4500 web pages of the NIH funded organizations' websites related to smart aging. The results of the comprehensive literature review indicate that the discussions on smart aging in the scientific publications are by and large classified into the following three directions: Technologies, Aging Medical Care, and Behavior and Social. In addition, the major topics from search engine datasets, which echoes more general discussions from various different parties, are related to entertainment program and social media, along with medical science and innovation technologies, whereas the research activities of NIH funded organizations focused on cross-disciplinary research in Behavioral and Social science, and Medical Care.

Original languageEnglish
Pages (from-to)68-79
Number of pages12
JournalData and Knowledge Engineering
Volume115
DOIs
Publication statusPublished - 2018 May

Bibliographical note

Funding Information:
In order to find the range of associated topics with smart aging, we adopt several text mining techniques such as Latent Dirichlet Allocation (LDA) topic modeling, N-Gram, and co-word map techniques to the datasets collected from three search engines: Google, Yahoo, and Bing. This analysis in turn enables us to examine and demonstrate the relations of words so that we can see the common area of smart aging topology. We also apply LDA to the datasets from NIH funded organizations' websites to identify research topics conducted with funding from NIH.

Funding Information:
Web documents were collected to map out the landscape of smart aging related topics. To discover the topics of smart aging area and the interesting research projects, we tried to search online databases such as Scopus and Web of Science with the term as “smart aging” but there were just too few papers retrieved. Therefore, we crawled the 3760 web sites based on the URLs retrieved from web search engines using Google, Yahoo, and Bing to analyze the topics of smart aging. In addition, we collected 4500 web pages from the list of organizations who received funding from the National Institutes of Health (NIH) to identify the ongoing research projects related to smart aging. NIH is a part of the U.S. Department of Health and Human Service, which is the largest biomedical research agency in the world. NIH also support the research funding for aging which is called National Institute on Aging (NIA) that leads a broad scientific effort to understand the nature of aging and extend the healthy, active years of life ( www.nia.nih.gov ). From these sites, we compiled two different datasets, one from search engine sites and another from NIH funded sites.

Funding Information:
The result indicates the Smart Aging research activities funded by National Institutes of Health (NIH) were concentrated on cross-disciplinary research in behavior and social activities which support social, behavioral, and economic on the aging. More research activities on aging are brain and mental functions, biological aging, nursing, healthcare, and extramural activities.

Funding Information:
The results of the literature review on smart aging show that the scholarly community mainly focuses on Technologies, Aging Medical Care, and Behavior and Social. On the other hand, the range of smart aging topics of datasets collected from search engines, which entails general voice from various relevant parties to smart aging, encompasses a broader perspective such as entertainment program and social media, along with medical science, smart aging innovation technologies & products, and information security. The research activities on smart aging research funded by NIH include Behavior and Social, and Medical Care. Specifically, they were concentrated on cross-disciplinary research in behavior and social activities that support social, behavioral, and economic on the aging. Other research activities on aging are brain and mental functions, biological aging, nursing, healthcare, and extramural activities.

Funding Information:
The first author would like to thank many of his Drexel colleagues who participated in the discussion on smart aging. This work by the second author was supported by the Bio-Synergy Research Project ( NRF-2013M3A9C4078138 ) of the Ministry of Science, ICT and Future Planning through the National Research Foundation of Korea.

Publisher Copyright:
© 2018 Elsevier B.V.

All Science Journal Classification (ASJC) codes

  • Information Systems and Management

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