User engagement with smart wearables : four defining factors and a process model
This study aims to construct an empirical model of user engagement with smart wearables, focusing on wrist-worn wearable devices. Using survey data of current smartwatch and smart fitness tracker users (N = 457), four factors—physical interaction, interface assessment, cognitive absorption, and digi...
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sg-ntu-dr.10356-1549182022-01-14T06:59:42Z User engagement with smart wearables : four defining factors and a process model Oh, Jeeyun Kang, Hyunjin Wee Kim Wee School of Communication and Information Social sciences::Communication User Engagement Smart Wearables This study aims to construct an empirical model of user engagement with smart wearables, focusing on wrist-worn wearable devices. Using survey data of current smartwatch and smart fitness tracker users (N = 457), four factors—physical interaction, interface assessment, cognitive absorption, and digital outreach—were examined as the main components of user engagement. Results showed that the four concepts reliably constituted the measurement model of user engagement. The proposed user engagement scale showed convergent validity with user attitudes toward wrist-worn wearables and usage intention. In addition, the four aspects of user engagement consisted of a process model, where physical interaction predicted interface assessment, interface assessment predicted cognitive absorption, and cognitive absorption predicted digital outreach. Nanyang Technological University The author(s) disclosed receipt of the following financial support for the research, authorship, and/ or publication of this article: The study has been supported by Hyunjin Kang’s (Second/ Corresponding Author) Start-up Grant from Nanyang Technological University. 2022-01-14T06:59:41Z 2022-01-14T06:59:41Z 2021 Journal Article Oh, J. & Kang, H. (2021). User engagement with smart wearables : four defining factors and a process model. Mobile Media and Communication, 9(2), 314-335. https://dx.doi.org/10.1177/2050157920958440 2050-1579 https://hdl.handle.net/10356/154918 10.1177/2050157920958440 2-s2.0-85092299532 2 9 314 335 en Mobile Media and Communication © The Author(s) 2020. All rights reserved. |
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Social sciences::Communication User Engagement Smart Wearables Oh, Jeeyun Kang, Hyunjin User engagement with smart wearables : four defining factors and a process model |
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This study aims to construct an empirical model of user engagement with smart wearables, focusing on wrist-worn wearable devices. Using survey data of current smartwatch and smart fitness tracker users (N = 457), four factors—physical interaction, interface assessment, cognitive absorption, and digital outreach—were examined as the main components of user engagement. Results showed that the four concepts reliably constituted the measurement model of user engagement. The proposed user engagement scale showed convergent validity with user attitudes toward wrist-worn wearables and usage intention. In addition, the four aspects of user engagement consisted of a process model, where physical interaction predicted interface assessment, interface assessment predicted cognitive absorption, and cognitive absorption predicted digital outreach. |
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Wee Kim Wee School of Communication and Information |
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Wee Kim Wee School of Communication and Information Oh, Jeeyun Kang, Hyunjin |
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Article |
author |
Oh, Jeeyun Kang, Hyunjin |
author_sort |
Oh, Jeeyun |
title |
User engagement with smart wearables : four defining factors and a process model |
title_short |
User engagement with smart wearables : four defining factors and a process model |
title_full |
User engagement with smart wearables : four defining factors and a process model |
title_fullStr |
User engagement with smart wearables : four defining factors and a process model |
title_full_unstemmed |
User engagement with smart wearables : four defining factors and a process model |
title_sort |
user engagement with smart wearables : four defining factors and a process model |
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2022 |
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https://hdl.handle.net/10356/154918 |
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1722355360919977984 |