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A Study on the Continuous Usage Factors of Perceived Ease of Use, Social Influence, and Performance Expectancy for Elderly People

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HCI International 2023 – Late Breaking Papers (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14055))

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Abstract

This research focused on the continuous usage of gerontechnology products by discussing the impact of three factors - perceived ease of use, social influence, and performance expectancy. Through experimental research, this article explored 1) what frequency of task splitting can enhance the continuous usage willingness; 2) what frequency of organizing participation in social activities can improve the continuous usage willingness; and 3) what frequency of organizing self-reevaluation can ensure effective usage willingness. Through experiments and data analysis of a 14-day health care knowledge learning for the elderly, we found that splitting the task of learning health care knowledge into completing the learning task every two days or more frequently, within 10–15 min each time, can ensure the user stickiness of the elderly and increase their willingness to continue using the product. Elderly people who participate in social activities more frequently and those who have a higher frequency of self-reevaluation are more willing to continue using the technology and recommend the product to others.

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Correspondence to Pei-Luen Patrick Rau .

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Guo, P. et al. (2023). A Study on the Continuous Usage Factors of Perceived Ease of Use, Social Influence, and Performance Expectancy for Elderly People. 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_3

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  • DOI: https://doi.org/10.1007/978-3-031-48041-6_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-48040-9

  • Online ISBN: 978-3-031-48041-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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