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2021 | OriginalPaper | Chapter

An Expert Interview Study of IoT Wearable Technologies for an Aging Population from Product, Data, and Society Dimensions

Authors : Sheng-Hung Lee, Ziyuan Zhu, Chaiwoo Lee, Fabio Duarte, Joseph F. Coughlin

Published in: Human Aspects of IT for the Aged Population. Supporting Everyday Life Activities

Publisher: Springer International Publishing

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Abstract

This research focuses on investigating the product, data, and society dimensions around IoT (Internet of Things) wearable technologies with insights and empirical knowledge from exploratory expert interviews. The purpose is to find implications around future designs of IoT wearable technologies for the aging population. Quantitative and qualitative data were collected through in-depth expert interviews and pre-surveys to explore topics and insights related to the design and development of IoT wearable technologies. Through synthesizing findings from expert interviews and pre-surveys, insights and concerning issues were summarized into three dimensions: product, data, and society. The implications from this research can help overcome the obstacles that impede the inclusiveness and adaptability of IoT wearable technologies. This study concludes that it is essential for designers, engineers, and researchers to consider these non-technological issues when designing and developing future IoT wearable technologies for the aging population.

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previous chapter Topic-Shift Characteristics of Japanese Casual Conversations Between Elderlies and Between Youths

next chapter Towards Representation of Daily Living Activities by Reusing ICF Categories

In the study, we define an extreme user as one type of expert.

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Title: An Expert Interview Study of IoT Wearable Technologies for an Aging Population from Product, Data, and Society Dimensions
Authors: Sheng-Hung Lee
Ziyuan Zhu
Chaiwoo Lee
Fabio Duarte
Joseph F. Coughlin
Publisher: Springer International Publishing
Book: Human Aspects of IT for the Aged Population. Supporting Everyday Life Activities
Print ISBN: 978-3-030-78110-1

Electronic ISBN: 978-3-030-78111-8

Copyright Year: 2021
DOI: https://doi.org/10.1007/978-3-030-78111-8_29

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