Abstract
The project Prevention of Occupational Disorders in Public Administrations based on Artificial Intelligence (PrevOccupAI) aims to identify and characterize profiles of work-related disorders (WRD) and daily working activities profiles. WRD have major impacts on the well-being and quality of life of individuals, as on productivity and absenteeism. Thus, to increase individuals’ quality of life and productivity, a tool focusing on human attention is being developed, integrating the insights of workers of AT (Autoridade Tributária) and the literature on attention and time management. By inputting Human-Computer Interaction (HCI) and work-related variables into an Artificial Intelligence (AI) layer, a dashboard system will provide workers’ information on causes of loss of focus they may not be aware of. Additionally, another layer will provide Recommendations, such as mindfulness-based tips, to assist in the management of feelings, emotions or work-related concerns, possibly increasing awareness and focus on the present. This manuscript presents the preliminary design of this tool.
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Acknowledgments
This work was partly supported by Fundação para a Ciência e Tecnologia, under project PREVOCUPAI (DSAIPA/AI/0105/2019) and PhD grants PD/BDE/142816/2018, PD/BDE/150304/2019, PD/BDE/150672/2020.
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Gamboa, P. et al. (2021). Design of an Attention Tool Using HCI and Work-Related Variables. In: Camarinha-Matos, L.M., Ferreira, P., Brito, G. (eds) Technological Innovation for Applied AI Systems. DoCEIS 2021. IFIP Advances in Information and Communication Technology, vol 626. Springer, Cham. https://doi.org/10.1007/978-3-030-78288-7_25
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DOI: https://doi.org/10.1007/978-3-030-78288-7_25
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