Information Fusion Model of Age-Appropriate Home Environment Design in Pervasive Computing Environment

Zhang, Yun; Shanat, Musdi; Li, Ya

doi:10.1007/s11277-023-10510-4

Wireless Pers Commun

2023

DOI: 10.1007/s11277-023-10510-4

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Information Fusion Model of Age-Appropriate Home Environment Design in Pervasive Computing Environment

Yun Zhang

Musdi Shanat

Ya Li³

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2024

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Cited by 1 publication

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Investigating the Behavioral Intention of Smart Home Systems among Older People in Linyin City

Wang,

Sani,

Shu

et al. 2024

Buildings

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Background: With an aging population and the continuous advancement of smart technology, the Chinese government is exploring smart elderly care models to address the challenges posed by aging. Although smart home systems are viewed as a promising solution, their adoption rate among older people remains low. Objectives: This study aimed to investigate the factors influencing the behavioral intention to use smart home systems among older people in Linyi City, Shandong Province, China. Methods: A literature review revealed a lack of quantitative research on older people’s behavioral intention toward smart home systems based on the Innovation Diffusion Theory. This study developed an extended model based on the Innovation Diffusion Theory, Technology Acceptance Model, and external variables, incorporating eight variables: intergenerational technical support, perceived cost, self-reported health conditions, compatibility, observability, trialability, perceived usefulness, perceived ease of use, and behavioral intention. Results: Analysis of 387 valid questionnaires showed that compatibility and trialability significantly and positively affect perceived ease of use, while self-reported health conditions, perceived ease of use, and perceived usefulness have significant effects on behavioral intention. In addition, perceived cost had a negative influence on behavioral intention. Contributions/Significance: These findings highlight the importance of considering these factors in the design of smart home systems to improve user experience and provide valuable practical guidance to smart home system developers, R&D institutions, and policymakers.

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Investigating the Behavioral Intention of Smart Home Systems among Older People in Linyin City

Wang,

Sani,

Shu

et al. 2024

Buildings

View full text Add to dashboard Cite

show abstract

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Information Fusion Model of Age-Appropriate Home Environment Design in Pervasive Computing Environment

Cited by 1 publication

References 30 publications

Investigating the Behavioral Intention of Smart Home Systems among Older People in Linyin City

Investigating the Behavioral Intention of Smart Home Systems among Older People in Linyin City

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