ArticleTechnology in society2021
Applied Artificial Intelligence and user satisfaction: Smartwatch usage for healthcare in Bangladesh during COVID-19.
Article in Technology in society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed.
- A Comprehensive Comparison and Evaluation of AI-Powered Healthcare Mobile Applications' Usability.Healthcare (Basel, Switzerland) · 2025Article
- Evaluation and examination of factors influencing the continued effective use of E-learning among faculty members of medical sciences universities.BMC medical education · 2025Article
- Healthcare providers' perception and knowledge of the use of artificial intelligence in healthcare service delivery in the Limbe and Buea Health Districts: a cross-sectional study.Frontiers in digital health · 2025Article
- Psychometric Evaluation of the Chinese Version of the Mental Health System Responsiveness Questionnaire for Psychiatric Outpatients: Classical Test Theory and Item Response Theory Approaches.Patient preference and adherence · 2025Article
- Users' Perceived Service Quality of National Telemedicine Services During the COVID-19 Pandemic in Bangladesh: Cross-Sectional Study.JMIR human factors · 2024Article
- Assessing AI adoption in developing country academia: A trust and privacy-augmented UTAUT framework.Heliyon · 2024Article
- AI Meets the Shopper: Psychosocial Factors in Ease of Use and Their Effect on E-Commerce Purchase Intention.Behavioral sciences (Basel, Switzerland) · 2024Article
- Analyzing ChatGPT adoption drivers with the TOEK framework.Scientific reports · 2023Article
- Workout with a Smartwatch: A Cross-Sectional Study of the Effects of Smartwatch Attributes on Flow Experience and Exercise Intentions Depending on Exercise Involvement.Healthcare (Basel, Switzerland) · 2023Article
- Applied artificial intelligence: Acceptance-intention-purchase and satisfaction on smartwatch usage in a Ghanaian context.Heliyon · 2023Article
- Provider Satisfaction With Artificial Intelligence-Based Hand Hygiene Monitoring System During the COVID-19 Pandemic: Study of a Rural Medical Center.Journal of chiropractic medicine · 2023Article
- Customer satisfaction with Restaurants Service Quality during COVID-19 outbreak: A two-stage methodology.Technology in society · 2022Article
- Highlighting artificial intelligence roles in business area Amid the COVID-19 crisis.Procedia computer science · 2022Article
- Resistance to innovation in low-income populations: The case of university students' resistance to using digital productivity applications.Frontiers in psychology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.