Applied Artificial Intelligence and user satisfaction: Smartwatch usage for healthcare in Bangladesh during COVID-19

The evolution of Artificial Intelligence (AI) has revolutionized many aspects of human life, including healthcare. Amidst the Covid-19 pandemic, AI-enabled smartwatches are being used to help users to self-monitor and self-manage their health. Using a framework based on Stimulus-Organism-Response (S...

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Published in:Technology in Society
Main Author: Uzir M.U.H.; Al Halbusi H.; Lim R.; Jerin I.; Abdul Hamid A.B.; Ramayah T.; Haque A.
Format: Article
Language:English
Published: Elsevier Ltd 2021
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118726488&doi=10.1016%2fj.techsoc.2021.101780&partnerID=40&md5=463477b9cf9c1c5c2034c0396ce727cd
id 2-s2.0-85118726488
spelling 2-s2.0-85118726488
Uzir M.U.H.; Al Halbusi H.; Lim R.; Jerin I.; Abdul Hamid A.B.; Ramayah T.; Haque A.
Applied Artificial Intelligence and user satisfaction: Smartwatch usage for healthcare in Bangladesh during COVID-19
2021
Technology in Society
67

10.1016/j.techsoc.2021.101780
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118726488&doi=10.1016%2fj.techsoc.2021.101780&partnerID=40&md5=463477b9cf9c1c5c2034c0396ce727cd
The evolution of Artificial Intelligence (AI) has revolutionized many aspects of human life, including healthcare. Amidst the Covid-19 pandemic, AI-enabled smartwatches are being used to help users to self-monitor and self-manage their health. Using a framework based on Stimulus-Organism-Response (S–O-R) theory, this present study aimed to explore the use of AI-enabled smartwatches for health purposes, in particular the effects of product quality, service quality, perceived convenience, and perceived ease of use on user experience, trust and user satisfaction. Based on a purposive survey sample of 486 smartphone users in Bangladesh, data collected was analyzed using SPSS software for elementary analyses and PLS-SEM for hypotheses testing. The findings showed that the predictors, namely product quality, service quality, perceived convenience, and perceived ease of use, significantly affected user experience and trust. Similarly, user experience and trust were influential on user satisfaction and played partial mediating roles between predictors and user satisfaction. Besides, gender and age moderate the relationships of experience and trust with customer satisfaction. These findings support the S–O-R theoretical framework and have practical implications for brand and marketing managers of smartwatches in developing product features and understanding users' attitudes and behaviours. © 2021 Elsevier Ltd
Elsevier Ltd
0160791X
English
Article
All Open Access; Green Open Access
author Uzir M.U.H.; Al Halbusi H.; Lim R.; Jerin I.; Abdul Hamid A.B.; Ramayah T.; Haque A.
spellingShingle Uzir M.U.H.; Al Halbusi H.; Lim R.; Jerin I.; Abdul Hamid A.B.; Ramayah T.; Haque A.
Applied Artificial Intelligence and user satisfaction: Smartwatch usage for healthcare in Bangladesh during COVID-19
author_facet Uzir M.U.H.; Al Halbusi H.; Lim R.; Jerin I.; Abdul Hamid A.B.; Ramayah T.; Haque A.
author_sort Uzir M.U.H.; Al Halbusi H.; Lim R.; Jerin I.; Abdul Hamid A.B.; Ramayah T.; Haque A.
title Applied Artificial Intelligence and user satisfaction: Smartwatch usage for healthcare in Bangladesh during COVID-19
title_short Applied Artificial Intelligence and user satisfaction: Smartwatch usage for healthcare in Bangladesh during COVID-19
title_full Applied Artificial Intelligence and user satisfaction: Smartwatch usage for healthcare in Bangladesh during COVID-19
title_fullStr Applied Artificial Intelligence and user satisfaction: Smartwatch usage for healthcare in Bangladesh during COVID-19
title_full_unstemmed Applied Artificial Intelligence and user satisfaction: Smartwatch usage for healthcare in Bangladesh during COVID-19
title_sort Applied Artificial Intelligence and user satisfaction: Smartwatch usage for healthcare in Bangladesh during COVID-19
publishDate 2021
container_title Technology in Society
container_volume 67
container_issue
doi_str_mv 10.1016/j.techsoc.2021.101780
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118726488&doi=10.1016%2fj.techsoc.2021.101780&partnerID=40&md5=463477b9cf9c1c5c2034c0396ce727cd
description The evolution of Artificial Intelligence (AI) has revolutionized many aspects of human life, including healthcare. Amidst the Covid-19 pandemic, AI-enabled smartwatches are being used to help users to self-monitor and self-manage their health. Using a framework based on Stimulus-Organism-Response (S–O-R) theory, this present study aimed to explore the use of AI-enabled smartwatches for health purposes, in particular the effects of product quality, service quality, perceived convenience, and perceived ease of use on user experience, trust and user satisfaction. Based on a purposive survey sample of 486 smartphone users in Bangladesh, data collected was analyzed using SPSS software for elementary analyses and PLS-SEM for hypotheses testing. The findings showed that the predictors, namely product quality, service quality, perceived convenience, and perceived ease of use, significantly affected user experience and trust. Similarly, user experience and trust were influential on user satisfaction and played partial mediating roles between predictors and user satisfaction. Besides, gender and age moderate the relationships of experience and trust with customer satisfaction. These findings support the S–O-R theoretical framework and have practical implications for brand and marketing managers of smartwatches in developing product features and understanding users' attitudes and behaviours. © 2021 Elsevier Ltd
publisher Elsevier Ltd
issn 0160791X
language English
format Article
accesstype All Open Access; Green Open Access
record_format scopus
collection Scopus
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