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Martins, J., Alturas, B. & Messias, I. (2026). Wearable technology: a study on the acceptance and use of smartwatches and smart bands. Journal of Ambient Intelligence and Humanized Computing, 17(7), 1741?1755. https://doi.org/10.1007/s12652-026-05117-z
J. Martins et al., "Wearable technology: a study on the acceptance and use of smartwatches and smart bands", in Journal of Ambient Intelligence and Humanized Computing, vol. 17, no. 7, pp. 1741-1755, 2026
@article{martins2026_1793123429278,
author = "Martins, J. and Alturas, B. and Messias, I.",
title = "Wearable technology: a study on the acceptance and use of smartwatches and smart bands",
journal = "Journal of Ambient Intelligence and Humanized Computing",
year = "2026",
volume = "17",
number = "7",
doi = "10.1007/s12652-026-05117-z",
pages = "1741-1755",
url = "https://link.springer.com/article/10.1007/s12652-026-05117-z"
}
TY - JOUR TI - Wearable technology: a study on the acceptance and use of smartwatches and smart bands T2 - Journal of Ambient Intelligence and Humanized Computing VL - 17 IS - 7 AU - Martins, J. AU - Alturas, B. AU - Messias, I. PY - 2026 SP - 1741-1755 SN - 1868-5137 DO - 10.1007/s12652-026-05117-z UR - https://link.springer.com/article/10.1007/s12652-026-05117-z AB - Wearable devices are increasingly present in our digital society as one of the most promising IoT technologies. This study, using a methodology framework based on a model adapted from UTAUT2, investigates the acceptance of wearable technology and the factors that affect the intention to use and usage behaviour of smartwatches and smart bands in Portugal. Three constructs were added to the original model: Perceived Security, Perceived Privacy, and Brand Name. Considering the methodological framework and the study’s goals, quantitative data were collected by questionnaire. 305 valid responses were obtained and analysed using the Smart PLS 4 and IBM SPSS tools. The results of the study confirmed the validity of the model and made it possible to analyse the intention of Portuguese consumers to use smartwatches and smart bands. Results found that the variables Performance expectancy and Habit were the strongest determinants of the Intention to Use smartwatches and smart bands. ER -
English