Examining factors influencing the adoption of smart integrated devices by the elderly in the digital era: insights from behavioral design theory

The findings challenge traditional assumptions about fixed sensory or cognitive hierarchies in aging populations and instead suggest that smart device usage among the elderly is shaped by a dynamic interplay of motivational, ability-based, and environmental factors. Drawing on Behavioral Design Theory, the study interprets these patterns through three lenses: motivation (e.g., health monitoring and social interaction), ability (e.g., physical and cognitive usability of devices), and triggers (e.g., technical and emotional support from family members). Under this framework, digital engagement appears to be highly context-dependent, with adaptive resource allocation and social support playing a crucial role in determining whether and how elderly individuals use smart technologies. The results emphasize the importance of designing inclusive digital environments and policies that respond to the nuanced needs and experiences of the aging population.

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Publication Details

Journal
Frontiers in Psychology
Published
2025-06-17
DOI
https://doi.org/10.3389/fpsyg.2025.1540201
Citations
8
Primary Topic
Technology Use by Older Adults
Type
article
Field-Weighted Citation Impact
44.74

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article

Examining factors influencing the adoption of smart integrated devices by the elderly in the digital era: insights from behavioral design theory

Xiao Liang, Na Qi, Sijie Sun, Haoran Li
8 citations
Frontiers in Psychology
Technology Use by Older Adults
44.74
article

Examining factors influencing the adoption of smart integrated devices by the elderly in the digital era: insights from behavioral design theory

Xiao Liang, Na Qi, Sijie Sun, Haoran Li
article en
8 citations

Abstract

The findings challenge traditional assumptions about fixed sensory or cognitive hierarchies in aging populations and instead suggest that smart device usage among the elderly is shaped by a dynamic interplay of motivational, ability-based, and environmental factors. Drawing on Behavioral Design Theory, the study interprets these patterns through three lenses: motivation (e.g., health monitoring and social interaction), ability (e.g., physical and cognitive usability of devices), and triggers (e.g., technical and emotional support from family members). Under this framework, digital engagement appears to be highly context-dependent, with adaptive resource allocation and social support playing a crucial role in determining whether and how elderly individuals use smart technologies. The results emphasize the importance of designing inclusive digital environments and policies that respond to the nuanced needs and experiences of the aging population.

Frontiers in PsychologyVol. 16
Universitat Autònoma de Barcelona (ES), RMIT University (AU), Sungkyunkwan University (KR)
China Scholarship Council
Openalex Percentile: Top 0%
Technology Use by Older Adults
44.74
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