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When Seniors Meet Digital: An Investigation on the Antecedents and Consequences of Smartphone Dependence Among Urban Older Adults

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HCI International 2023 – Late Breaking Papers (HCII 2023)

Abstract

With the advancement of digital inclusion, the ability of older adults to use ICT has increased significantly. Smartphone dependence is a pervasive and damaging behavior. With the permeation of smartphones among urban older adults, smartphone dependence is emerging in this population. However, the mechanism underlying smartphone dependence among the older users are still understudied. In this research, we employed the critical incident technique (CIT) method to investment the antecedents and consequences of older users’ smartphone dependence. This research gathered and analyzed qualitative data from 9 males and 11 females of older adults aged 55 to 63. The results indicated that antecedents of older adults’ smartphone dependence include contextual factors, emotional lift, anxiety sensitivity, and self-regulation. We built the seniors & smartphone pull-out battle model to reveal the process of how these antecedents impact smartphone dependence. In addition, smartphone dependence among older adults would lead to cognitive, psychological, and behavioral consequences. Our work advances older users’ smartphone engagement research by exploring the antecedents and consequences of older adults’ smartphone dependence behaviors. Meanwhile, this research provides practical insights for smartphone practitioners, family members, and older adults to manage smartphone dependence.

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Acknowledgment

This work was funded by the Key Projects of the National Social Science Foundation of China under Grant (No. 22&ZD327).

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Correspondence to Yan Zhang .

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Zhang, Y., Wu, D., Zhao, Y.(., Zhu, Q. (2023). When Seniors Meet Digital: An Investigation on the Antecedents and Consequences of Smartphone Dependence Among Urban Older Adults. In: Gao, Q., Zhou, J., Duffy, V.G., Antona, M., Stephanidis, C. (eds) HCI International 2023 – Late Breaking Papers. HCII 2023. Lecture Notes in Computer Science, vol 14055. Springer, Cham. https://doi.org/10.1007/978-3-031-48041-6_20

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  • DOI: https://doi.org/10.1007/978-3-031-48041-6_20

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