Abstract
From the perspective of elderly users, this paper discusses the specific factors that influence the continuous use behavior of intelligent wearing devices and constructs a model. Based on the integration of the perceptual-emotion-behavioral willingness (CMC) model framework, the model increases behavioral activation variables. This model comprehensively analyzes the influence factors of persistent behavior from two aspects: affective intention and behavioral activation, and has wide applicability. Multi-faceted thinking provides support to the government in solving population aging problems and enterprises to develop intelligent pension products.
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References
Fang, E.F., Scheibye-Knudsen, M., Jahn, H.J., et al.: A research agenda for aging in China in the 21st century. Ageing Res. Rev. 24, 197–205 (2015)
Alevizos, A., Lentzas, J., Kokkoris, S., et al.: Physical activity and stroke risk. Int. J. Clin. Pract. 59(8), 922–930 (2005)
Li, X., Lu, Y., Fu, X., et al.: Building the Internet of Things platform for smart maternal healthcare services with wearable devices and cloud computing. Future Gener. Comput. Syst. Int. J. Esci. 118, 282–296 (2021)
Chang, W.-J., Chen, L.-B., Chen, M.-C., et al.: Design and implementation of an intelligent assistive system for visually impaired people for aerial obstacle avoidance and fall detection. IEEE Sens. J. 20(17), 10199–10210 (2020)
Wu, L.-H., Wu, L.-C., Chang, S.-C.: Exploring consumers’ intention to accept smartwatch. Comput. Human Behav. 64, 383–392 (2016)
Li, J., Ma, Q., Chan, A.H.S., et al.: Health monitoring through wearable technologies for older adults: smart wearables acceptance model. Appl. Ergon. 75, 162–169 (2019)
Abouzahra, M., Ghasemaghaei, M.: The antecedents and results of seniors' use of activity tracking wearable devices. Health Policy Technol. 9(2), 213–217 (2020)
Kyriakopoulos, G., Ntanos, S., Anagnostopoulos, T., et al.: Internet of Things (IoT)-enabled elderly fall verification, exploiting temporal inference models in smart homes. Int. J. Environ. Res. Public Health 17(2) (2020)
Choi, E.P.H.: A pilot study to evaluate the acceptability of using a smart pillbox to enhance medication adherence among primary care patients. Int. J. Environ. Res. Public Health 16(20) (2019)
Hutton, C., Heider, F., Blanco-Gomez, A., et al.: Single-cell analysis defines a pancreatic fibroblast lineage that supports anti-tumor immunity. Cancer Cell 39(9), 1227 (2021)
Tsiotsou, R.H.: Sport team loyalty: integrating relationship marketing and a hierarchy of effects. J. Serv. Mark. 27(6), 458–471 (2013)
Qin, H., Osatuyi, B., Xu, L.: How mobile augmented reality applications affect continuous use and purchase intentions: a cognition-affect-conation perspective. J. Retail. Consum. Serv. 63 (2021)
Yen, W.C., Lin, H.H., Wang, Y.S., et al.: Factors affecting users’ continuance intention of mobile social network service. Serv. Ind. J. 39(13–14), 983–1003 (2019)
Park, E.: User acceptance of smart wearable devices: an expectation-confirmation model approach. Telemat. Inf. 47 (2020)
Tam, C., Santos, D., Oliveira, T.: Exploring the influential factors of continuance intention to use mobile apps: extending the expectation confirmation model. Inf. Syst. Front. 22(1), 243–257 (2018). https://doi.org/10.1007/s10796-018-9864-5
Liu, H.H., Shao, M.M., Liu, X.H., et al.: Exploring the influential factors on readers’ continuance intentions of e-book APPs: personalization, usefulness, playfulness, and satisfaction. Front. Psychol. 12 (2021)
Hult, G.T.M., Sharma, P.N., Morgeson, F.V., III., et al.: Antecedents and consequences of customer satisfaction: do they differ across online and offline purchases? J. Retail. 95(1), 10–23 (2019)
Zhu, Y., Lu, Y., Gupta, S., et al.: Promoting smart wearable devices in the health-AI market: the role of health consciousness and privacy protection. J. Res. Interact. Mark. (2022)
Wu, Y.F., Chen, M.Y., Ye, J.H., et al.: The relationship of breathing and COVID-19 anxiety when using smart watches for guided respiration practice: a cross-sectional study. Front. Psychol. 13 (2022)
Cho, J.: The impact of post-adoption beliefs on the continued use of health apps. Int. J. Med. Inf. 87, 75–83 (2016)
Acknowledgments
The work described in this paper was supported by grants from the Zhejiang Province University Students Science and Technology Innovation Activity Program (Xinmiao Talent Program); the Zhejiang Provincial Federation of Social Sciences, grant number 2023N009; the Humanities and Social Sciences Research Project of Zhejiang Provincial Department of Education, grant number Y202248811; and the Zhejiang Province Undergraduate Innovation and Entrepreneurship Training Program, S202210337022.
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Xie, M., Chu, C., Cao, C. (2023). What Affects the Continued Use of Smart Wearable Devices in Older Adults?. In: Stephanidis, C., Antona, M., Ntoa, S., Salvendy, G. (eds) HCI International 2023 Posters. HCII 2023. Communications in Computer and Information Science, vol 1833. Springer, Cham. https://doi.org/10.1007/978-3-031-35992-7_72
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