Mapping Innovation Opportunities in Age-Friendly Artificial Intelligence: An Interdisciplinary Approach
- DOI
- 10.2991/978-94-6463-676-5_65How to use a DOI?
- Keywords
- Interdisciplinary; Innovation Opportunities; Age-friendly; Patent Analysis; Artificial Intelligent
- Abstract
In China, the rapid transition into an aging society has underscored the critical role of technology, particularly artificial intelligence (AI), in addressing the challenges of population aging. This study adopts an interdisciplinary approach to systematically identify innovation opportunities in age-friendly AI solutions. By integrating insights from literature and policy analyses with patent data, it examines aging-related demands and explores technological subfields and key innovation areas. Employing methods such as clustering analysis and comprehensive index evaluation, the research identifies core, emerging, and frontier technologies. A demand-technology-product innovation opportunity map is constructed through manual analysis, highlighting critical areas such as intelligent home care, entertainment systems, and security monitoring. Key innovation opportunities are identified in technologies including medical anesthesia and relaxation, aging-friendly alarm systems, information system applications, and image recognition. The study advocates for leveraging interdisciplinary expertise in fields like traffic engineering, health management, and medical informatics to drive AI innovation for the elderly. It also emphasizes the importance of big data platforms for meeting health-related needs and advancing product innovation in smart home and entertainment systems tailored to aging populations.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Jing Wang AU - Fei Yuan PY - 2025 DA - 2025/04/15 TI - Mapping Innovation Opportunities in Age-Friendly Artificial Intelligence: An Interdisciplinary Approach BT - Proceedings of the 2024 6th Management Science Informatization and Economic Innovation Development Conference (MSIEID 2024) PB - Atlantis Press SP - 669 EP - 683 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-676-5_65 DO - 10.2991/978-94-6463-676-5_65 ID - Wang2025 ER -