Journal article
The landscape of smart aging: Topics, applications, and agenda
Data & knowledge engineering, v 115, pp 68-79
01 May 2018
Featured in Collection : UN Sustainable Development Goals @ Drexel
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.
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Details
- Title
- The landscape of smart aging: Topics, applications, and agenda
- Creators
- Il-Yeol Song - Drexel UniversityMin Song - Yonsei UniversityTatsawan Timakum - Yonsei UniversitySu-Ryeon Ryu - Yonsei UniversityHanju Lee - Yonsei University
- Publication Details
- Data & knowledge engineering, v 115, pp 68-79
- Publisher
- Elsevier
- Number of pages
- 12
- Grant note
- NRF-2013M3A9C4078138 / Ministry of Science, ICT and Future Planning through National Research Foundation of Korea
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000438831900005
- Scopus ID
- 2-s2.0-85043336224
- Other Identifier
- 991019168465604721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Information Systems