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

Buildings, Journal Year: 2024, Volume and Issue: 14(10), P. 3145 - 3145

Published: Oct. 2, 2024

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

Language: Английский

Factors affecting the elderly’s behavioral intention toward smart home systems: A cross-sectional study from China’s eastern coast

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(12), P. e0311280 - e0311280

Published: Dec. 13, 2024

As China’s population continues to age rapidly, smart elderly care has become a crucial strategy for addressing this societal challenge. Smart home systems have the potential significantly enhance quality of life, safety, and autonomy elderly. However, adoption rate these in demographic remains relatively low, requiring an exploration key factors influencing behavioral intention use such systems. This study developed comprehensive model based on Technology Acceptance Model Unified Theory Use Technology. Through empirical analysis using partial least squares structural equation modeling, systematically examined pathways through which various affected intentions The findings revealed that perceived usefulness, facilitating conditions, compatibility, cost had significant direct effects intention. Additionally, social influence, trust, compatibility indirectly influenced usefulness ease use. Although trust did not directly affect intention, it exerted indirect influence usefulness. provides theoretical insights into toward offers practical guidance developers, designers, policymakers development, design, promotion

Language: Английский