Design of Human-Centered Adaptive Support Tools to Improve Workability in Older Workers. A Field of Research of Human-Centered AI

Advanced digitalization and other advanced technologies have proven their value to effectively address our social needs and have played a crucial role in the creation and transformation of society itself. Our daily life operates in an increasingly high-tech environment and revolutionize health provision, but also working conditions. Artificial intelligence (AI) related technologies can provide support at workplaces to compensate for the daily occupational dangers, reducing their impact on long-term worker health status. The purpose of this study is to identify relevant factors to improve long-term workability of aged workers that can be addressed through the use of new AI-based solutions, such as IoT, virtual reality, and interactive virtual coaches. In addition to a state-of-the-art research review, a set of workshop focus groups with the participation of middle-aged workers from different countries and an online European survey were conducted. An overviewof the main factors that influence positive and negative onworkability have emerged. This paper shows that factors in different working areas and how technology can provide skills and methods to cope with functional decline are relevant to improveworkers'workability as they age. Further research is necessary to propose effective technological-based solutions to address the identified results and measure their impact on worker's long-term health.