Opportunities and Challenges of Urban Agetech: from an Automated City to an Ageing-Friendly City
Authors: Seng W. Loke
AI-generated Key Points
- Caring for the elderly and maintaining their quality of life is increasingly important in modern society, especially in countries with a growing aging population.
- The concept of urban agetech introduces technology-driven services to support aging populations beyond their homes.
- Urban agetech envisions using automated systems like robots and self-driving vehicles to provide assistance and enhance well-being for seniors in urban environments.
- By integrating automated systems into city functions, urban areas can better meet the evolving needs of an aging population.
- Urban agetech has the potential to revolutionize elderly care by offering personalized support and enhancing independence for older residents.
- Embracing urban agetech presents opportunities to build more inclusive and sustainable communities, but considerations around privacy, accessibility, and ethical implications must be carefully addressed.
Abstract: Caring for the elderly, aging-in-place, and enabling the elderly to maintain a good life continue to be topics of increasing importance, especially in countries with a higher percentage of older people, as people live longer, and care-giving costs rise. This position paper proposes the concept of urban agetech, where agetech services beyond the home can be an integral part of a modern ageing-friendly city, and where support for the elderly, where needed, in the form of automated systems (e.g., robots and automated vehicles) would be a normal city function/service, akin to the rather commonplace public transport services today.
Tools for this paper
Ask questions about this paper to our AI assistant
You can also chat with multiple papers at once here.
⚠The license of the paper does not allow us to build upon its content and the AI assistant only knows about the paper metadata rather than the full article.
The previous summary was created more than a year ago and can be re-run (if necessary) by clicking on the Run button below.
⚠The license of this specific paper does not allow us to build upon its content and the summarizing tools will be run using the paper metadata rather than the full article. However, it still does a good job, and you can also try our tools on papers with more open licenses.
Similar papers summarized with our AI tools
Navigate through even more similar papers through a
tree representationLook for similar papers (in beta version)
We compare the title and abstract with papers indexed in our database. For arXiv papers, we search within the same category; for DOI and other sources, we search across sources and subjects. You can rerun the search as our database grows.
Disclaimer: The AI-based summarization tool and virtual assistant provided on this website may not always provide accurate and complete summaries or responses. We encourage you to carefully review and evaluate the generated content to ensure its quality and relevance to your needs.