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.

Original languageEnglish
Title of host publicationTechnological Innovation for Applied AI Systems - 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021, Proceedings
EditorsLuis M. Camarinha-Matos, Pedro Ferreira, Guilherme Brito
Place of PublicationCham
PublisherSpringer
Pages262-269
Number of pages8
ISBN (Electronic)978-3-030-78288-7
ISBN (Print)978-3-030-78287-0
DOIs
Publication statusPublished - 2021
Event12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021 - Virtual, Online
Duration: 7 Jul 20219 Jul 2021

Publication series

NameIFIP Advances in Information and Communication Technology
PublisherSpringer
Volume626
ISSN (Print)1868-4238
ISSN (Electronic)1868-422X

Conference

Conference12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021
CityVirtual, Online
Period7/07/219/07/21

Keywords

  • Artificial intelligence
  • Attention
  • HCI
  • Occupational health
  • Work-related disorders

Fingerprint

Dive into the research topics of 'Design of an Attention Tool Using HCI and Work-Related Variables'. Together they form a unique fingerprint.

Cite this