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Accepted for/Published in: JMIR Aging

Date Submitted: Mar 3, 2026
Date Accepted: Jun 12, 2026

The final, peer-reviewed published version of this preprint can be found here:

Perceived Algorithmic Care Intensity and Older Adults’ Autonomy in Community Smart Care: Mixed Methods Study

Huang X Sr

Perceived Algorithmic Care Intensity and Older Adults’ Autonomy in Community Smart Care: Mixed Methods Study

JMIR Aging 2026;9:e94559

DOI: 10.2196/94559

PMID: 42467812

Perceived Algorithmic Care Intensity and Older Adults’ Autonomy in Community Smart Care: Mixed Methods Study

  • Xianghui Huang Sr

ABSTRACT

As population aging deepens and digital technologies become increasingly embedded in community care, smart eldercare is shifting from basic information support to more continuous, algorithm driven care. Although prior research has highlighted its benefits for safety, convenience, and service efficiency, less is known about how algorithmic care shapes older adults’ perceived autonomy. Drawing on self determination theory and research on digital health in later life, this study examines how perceived algorithmic care intensity influences perceived autonomy among older adults in community smart eldercare settings, and whether digital literacy moderates this process. A three stage design was adopted. First, a qualitative pre study based on semi structured interviews was used to refine the key constructs and measurement items. Second, a scenario based experiment tested the causal effects of algorithmic care intensity on decisional substitution, perceived surveillance, and perceived autonomy. Third, a community based survey examined the parallel mediation model and the moderating role of digital literacy in a real world context. The results show that higher perceived algorithmic care intensity increases decisional substitution and perceived surveillance while reducing perceived autonomy. Both decisional substitution and perceived surveillance mediate the relationship between perceived algorithmic care intensity and perceived autonomy. In addition, digital literacy weakens the effect of perceived algorithmic care intensity on decisional substitution, but does not significantly moderate its effect on perceived surveillance. This study extends smart eldercare research beyond technology acceptance and clarifies the tension between empowerment and control in algorithmic care.


 Citation

Please cite as:

Huang X Sr

Perceived Algorithmic Care Intensity and Older Adults’ Autonomy in Community Smart Care: Mixed Methods Study

JMIR Aging 2026;9:e94559

DOI: 10.2196/94559

PMID: 42467812

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