How smart companions reshape psychological well-being in later life: the role of artificial intelligence technology in mental health during senior years

Against the dual backdrop of global population ageing and digital transformation, how to leverage smart eldercare technologies to bridge the “digital divide” and enhance older adults’ psychological well-being has become a pressing issue. Grounded in the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT), this study innovatively develops a deep hybrid analytical framework that integrates Structural Equation Modeling (SEM) with Artificial Neural Networks (ANN). SEM is employed to validate the linear causal pathways among variables, while ANN is introduced to uncover nonlinear relationships and predictive weights in the data. The SEM results confirm a clear transmission pathway of “technology perception → demand satisfaction → enhancement of well-being,” in which “usage demand” plays a key mediating role. The nonlinear sensitivity analysis based on ANN further reveals that perceived usefulness and usage demand are the primary driving factors for predicting older adults’ well-being, indicating that their value orientation toward technology has shifted from “usable” to “truly useful.” The findings suggest that future product design should move away from mere functional stacking toward precise value alignment and zero–cognitive-load interaction, thereby providing scientific evidence for achieving high-quality, proactive healthy ageing.

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Publication Details

Journal
BMC Public Health
Published
2026-01-21
DOI
https://doi.org/10.1186/s12889-026-26328-1
Primary Topic
Technology Use by Older Adults
Type
article
Field-Weighted Citation Impact
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article

How smart companions reshape psychological well-being in later life: the role of artificial intelligence technology in mental health during senior years

Bin Luan, Yongchuan Li
BMC Public Health
Technology Use by Older Adults
article

How smart companions reshape psychological well-being in later life: the role of artificial intelligence technology in mental health during senior years

Bin Luan, Yongchuan Li
article en

Abstract

Against the dual backdrop of global population ageing and digital transformation, how to leverage smart eldercare technologies to bridge the “digital divide” and enhance older adults’ psychological well-being has become a pressing issue. Grounded in the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT), this study innovatively develops a deep hybrid analytical framework that integrates Structural Equation Modeling (SEM) with Artificial Neural Networks (ANN). SEM is employed to validate the linear causal pathways among variables, while ANN is introduced to uncover nonlinear relationships and predictive weights in the data. The SEM results confirm a clear transmission pathway of “technology perception → demand satisfaction → enhancement of well-being,” in which “usage demand” plays a key mediating role. The nonlinear sensitivity analysis based on ANN further reveals that perceived usefulness and usage demand are the primary driving factors for predicting older adults’ well-being, indicating that their value orientation toward technology has shifted from “usable” to “truly useful.” The findings suggest that future product design should move away from mere functional stacking toward precise value alignment and zero–cognitive-load interaction, thereby providing scientific evidence for achieving high-quality, proactive healthy ageing.

BMC Public HealthVol. 26(1)
Wenzhou University (CN), Donghua University (CN), Shandong University of Art and Design (CN)
Openalex Percentile: Top 86%
Technology Use by Older Adults
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