Review

Assisted Aging: The Future Confluence of Gerontology, Internet of Things and Psychological AI

Volume: 1 Number: 1 June 30, 2019
TR EN

Assisted Aging: The Future Confluence of Gerontology, Internet of Things and Psychological AI

Abstract

In this article, we propose a new term, ‘assisted aging’ which is an offshoot of the discussions on assisted living of aging populations. The article consists of 5 major sections: In the first section after introduction, we review mostly technical accounts of health applications of IoT. In the second section, we introduce mostly social science-oriented research on health applications of IoT. In the third section, we present and discuss gerontological research on IoT. In the fourth section, we focus on yet another relatively new term which is ‘psychological AI’. We show how this will be central to future IoT for gerontological purposes. Finally, we reflect on assisted living studies to develop our notion of assisted aging.

Keywords

References

  1. Anumala, H., & Busetty, S. M. (2015, December). Distributed device health platform using Internet of Things devices. In Data Science and Data Intensive Systems (DSDIS), 2015 IEEE International Conference on (pp. 525-531). IEEE. Accessed https://ieeexplore.ieee.org/abstract/document/7396553
  2. Anzanpour, A., Rahmani, A. M., Liljeberg, P., & Tenhunen, H. (2015, December). Internet of things enabled in-home health monitoring system using early warning score. In Proceedings of the 5th EAI International Conference on Wireless Mobile Communication and Healthcare (pp. 174-177). ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering).
  3. Astington, J. W., & Jenkins, J. M. (1999). A longitudinal study of the relation between language and theory-of-mind development. Developmental Psychology, 35(5), 1311-1320.
  4. Atee, M., Hoti, K., & Hughes, J. D. (2018). A technical note on the PainChek™ system: a web portal and mobile medical device for assessing pain in people with dementia. Frontiers in Aging Neuroscience, 10, 1-13.
  5. Baldissera, T. A., & De Faveri, C. (2016). Emergent Technologies for Active Aging. Revista ComInG-Communications and Innovations Gazette, 1(1), 68-78.
  6. Banerjee, T., Peterson, M., Oliver, Q., Froehle, A., & Lawhorne, L. (2018). Validating a commercial device for continuous activity measurement in the older adult population for dementia management. Smart Health, 5, 51-62.
  7. Barrué, C., Cortés, A., Cortés, U., Tétard, F., & Gironès, X. (2017). CAREGIVERSPRO-MMD: community services, helping patients with dementia and caregivers connect with others for evaluation, support and to improve the care experience. Computación y Sistemas, 21(1), 23-33.
  8. Baum, S. D. (2017). On the promotion of safe and socially beneficial artificial intelligence. AI & Society, 32(4), 543-551.

Details

Primary Language

English

Subjects

-

Journal Section

Review

Publication Date

June 30, 2019

Submission Date

September 25, 2019

Acceptance Date

October 16, 2019

Published in Issue

Year 2019 Volume: 1 Number: 1

APA
Gezgin, U. B., & Yaman, A. (2019). Assisted Aging: The Future Confluence of Gerontology, Internet of Things and Psychological AI. İzmir Sosyal Bilimler Dergisi, 1(1), 14-24. https://izlik.org/JA86SS86TD
İzmir Journal of Social Sciences © 2019
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