2022 |
Mallol-Ragolta, Adria; Varlamis, Iraklis; Pateraki, Maria; Lourakis, Manolis I. A.; Athanassiou, Georgios; Maniadakis, Michail; Papoutsakis, Konstantinos E.; Papadopoulos, Thodoris; Semertzidou, Anastasia; Cummins, Nicholas; Schuller, Björn; Karolos, Ion-Anastasios; Pikridas, Christos; Patias, Petros G.; Vantolas, Spyros; Kallipolitis, Leonidas; Werner, Frank; Ascolese, Antonio; Nitti, Vito sustAGE 1.0 – First Prototype, Use Cases, and Usability Evaluation Journal Article In: AHFE International, 2022. Abstract | Links | BibTeX | Tags: Ageing Workforce, artificial intelligence, IoT, Micro-moments, Occupational Safety and Health, Personalised Recommendations @article{MallolRagolta2022sustAGE1,Worldwide demographics are changing; we are living longer and, in developed countries, the birth-rate is dropping. In this context and motivated by the challenge of sustainable ageing, this paper presents sustAGE, a multi-modal person-centred IoT platform, which integrates with the daily activities of ageing employees both at work and outside. The sensed information allows the system to assess the state of the users and context-related aspects with the aim to provide timely recommendations to support wellbeing, wellness, and productivity. Herein, we describe the use cases, outline the overall system architecture, and introduce the first prototype of the platform implemented up-to-date. Furthermore, the results from the usability evaluation conducted with real users who used the prototype for one month are presented |
2021 |
Athanassiou, Georgios; Pateraki, Maria; Varlamis, Iraklis Micro-moment-based Interventions for a Personalized Support of Healthy and Sustainable Ageing at Work: Development and Application of a Context-sensitive Recommendation Framework. Proceedings Article In: Proceedings of the 13th International Joint Conference on Computational Intelligence, pp. 409–419, 2021. Abstract | Links | BibTeX | Tags: Micro-moments, Occupational Safety and Health, Recommendation Systems, Recommendation-based Interventions, Sustainable Work, Well-being, Work Ability @inproceedings{athanassiou2021micro,The paper outlines the sustAGE system, a smart solution that builds upon strategic technology trends, such as Internet-of-Things, machine learning and recommender systems, to support sustainable work environments and increase wellness at work and well-being with a focus on the ageing workforce. Acknowledging the interrelation of the work and private arrays for healthy ageing, the developed solution utilizes a recommendation-based approach providing personalized warnings and preventive recommendations regarding occupational risks, as well as personalized cognitive and physical training activities for the offwork context with the overall goal of maintaining Work Ability and enabling sustainable work. The piloting of the proposed solution in two critical industrial domains provides promising results towards the use of personalized recommendation-based interventions for the working context and beyond for improving workers’ occupational safety and health, performance and general well-being. |
2022 |
sustAGE 1.0 – First Prototype, Use Cases, and Usability Evaluation Journal Article In: AHFE International, 2022. |
2021 |
Micro-moment-based Interventions for a Personalized Support of Healthy and Sustainable Ageing at Work: Development and Application of a Context-sensitive Recommendation Framework. Proceedings Article In: Proceedings of the 13th International Joint Conference on Computational Intelligence, pp. 409–419, 2021. |