Abstract
This study introduces a platform designed to address the challenges of global aging by implementing an “elderly assist for elderly” concept. It aims to alleviate the long-term care service manpower shortage by integrating elderly individuals into the market for in-home elderly care. Utilizing the Person-Job Fit model, the platform adopts a personalized approach to match task assignments with the elderly’s changing values, needs, and competencies. Intelligent scheduling and automatic service provider recommendations are employed to enhance the user experience by ensuring optimal matches between providers and services. The platform’s performance analysis is grounded in the Job Demands-Resources theory, ensuring its stability and reliability. Additionally, a point system inspired by time banking encourages user participation and sustains service value. Comprehensive internal testing was conducted to identify and address potential issues before formal testing, improving the prototype’s usability. Overall, this study proposes a novel solution to the challenges of global aging by integrating time banking, personalized design, and technological innovation, promoting a healthier and more sustainable elderly lifestyle.
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Acknowledgments
We express our profound gratitude to Chang Gung Health and Culture Village for their invaluable contributions. Their willingness to share extensive experiences in elderly care, along with providing robust support, advice, and suggestions, has significantly facilitated the smooth conduct of this project. We also acknowledge the financial support received from the National Science and Technology Council (Taiwan), under Grants NSTC 111-2221-E-182-035 and NSTC 112-2410-H-182-014-MY2, which has been instrumental in advancing this study. It is crucial to note that the funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript, ensuring the integrity and independence of our research.
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The authors declare no conflict of interest related to this study. Research activities, including study design, data collection, analysis, decision to publish, and manuscript preparation, were conducted independently of the funding sources. The financial support from the National Science and Technology Council (Taiwan) and the non-financial contributions from Chang Gung Health and Culture Village did not influ-ence the content of the research or the findings reported in this manuscript.
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Tsai, TH., Lo, HY., Wu, SL., Chen, YP., Hsu, CL. (2024). Technological Empowerment for Aging Workforce in Elderly Care Programs: Service Model Design and Development of an Elderly Care Shared Service Platform. In: Antona, M., Stephanidis, C. (eds) Universal Access in Human-Computer Interaction. HCII 2024. Lecture Notes in Computer Science, vol 14698. Springer, Cham. https://doi.org/10.1007/978-3-031-60884-1_23
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