Submitted:
06 May 2025
Posted:
09 May 2025
You are already at the latest version
Abstract
Keywords:
1. Introduction
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- To examine how public-private partnerships and national governance models shape the implementation of smart housing technologies for aging-in-place in South Korea and the UK.
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- To analyze policy frameworks and regulatory conditions that enable or constrain the integration of digital technologies in residential eldercare systems
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- To evaluate the financial sustainability, scalability and user accessibility of smart housing of smart housing ecosystems designed for the aging population in both national contexts.
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- How do governance structures and institutional models in South Korea and the UK influence the adoption and scalability of smart housing strategies for aging-in-place?
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- What are the key policy, financial and ethical considerations shaping the implementation of technology-assisted residential care for older adults in both countries?
2. Methods
2.1. Case Selection
2.2. Data Sources
2.3. Inclusion Criteria
2.4. Analytical Approach
3. Results
3.1. Overview of Literature Screening
3.2. Demographic Trends and Healthcare Challenges
3.3. Technological Strategies in South Korea and the UK
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- Human-Centered Design Metrics: While technical aspects of smart home technologies are well-researched, there is a lack of comprehensive studies focusing on human-centered design metrics. This includes understanding how older adults perceive and interact with smart home technologies and how these systems can be tailored to meet diverse user needs and preferences.
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- Intergenerational Tech Transfer Models: There is limited research on intergenerational models for transferring technology skills and knowledge between younger and older generations. Such models could enhance digital literacy among older adults and facilitate more effective use of smart home technologies, thereby bridging the digital divide and improving access to healthcare services.
3.4. Comparative Evaluation of Strategies
4. Discussion
4.1. Smart Healthcare in South Korea and the UK
4.2. Comparative Policy Implications for Smart Aging-in-Place
4.3. IoT-Based Housing Design for the Older Population
4.4. Design and Functionality: A Comparative Perspective
4.4.1. Technology Focus (South Korea)
4.4.2. Community-Oriented Model (UK)
4.4.3. Cost Efficiency
4.5. Policy Recommendations for Enhancing Aging-in-Place Strategies
4.5.1. Build Public Trust Through Transparent and User-Controlled AI Systems
4.5.2. Promote Hybrid Care Models Combining AI Monitoring with Responsive Human Support
4.5.3. Refocus Smart Housing from High-Cost Automation to Scalable, User-Friendly Retrofits
4.5.4. Expanding Energy-Efficient Smart Homes with Government Incentives
4.5.5. The Programs That Integrate Housing with Social Inclusion Activities Must Receive Improved Financial Support
4.6. Policy Recommendations for Scaling Aging-in-Place Innovation
4.7. Strategic Governance and Political Barriers
4.8. Ethical Framework for Smart Aging-in-Place
4.9. Limitations
5. Conclusion
Abbreviations
| IoT | Interne of Things |
| AI | Artificial Intelligence |
| WHO | World Health Organization |
| OECD | Organization for Economic Co-operation and Development |
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| Aspect | South Korea KR Score | UK GB Score | Reasoning (Based on the above insights) |
| Technology Adoption | 9 | 6 | South Korea leads in AI, robotics, and IoT-based smart homes. The UK adopts tech at a slower pace, focusing on human-centered care. |
| Affordability | 4 | 8 | South Korean smart homes are expensive ($50,000/unit), while the UK offers affordable home modifications ($10,000). |
| Privacy & Security | 5 | 9 | The UK has strong data protection laws, whereas South Korea has privacy concerns with AI-driven monitoring. |
| Social Inclusion |
3 | 9 | The UK’s community-based housing reduces older people’s isolation by 35%, while South Korea’s AI-focused model increases loneliness by 50%. |
| Healthcare Cost Savings | 8 | 7 | AI-driven monitoring in South Korea reduces emergency hospitalizations by 30%. The UK’s telecare saves $5,000 per patient annually. |
| Energy Efficiency |
9 | 8 | South Korean smart homes save 15–25% on energy bills, and UK smart homes save $3,500 annually. |
| Older Citizens’ Adoption Rate | 5 | 8 | 42% of older citizens in South Korea distrust AI homes. UK systems are easier to use, improving adoption. |
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