TY - GEN
T1 - Design of an Attention Tool Using HCI and Work-Related Variables
AU - Gamboa, Patricia
AU - Quaresma, Cláudia
AU - Varandas, Rui
AU - Canhão, Helena
AU - de Sousa, Rute Dinis
AU - Rodrigues, Ana
AU - Jacinto, Sofia
AU - Rodrigues, João
AU - Cepeda, Cátia
AU - Gamboa, Hugo
N1 - info:eu-repo/grantAgreement/FCT/3599-PPCDT/DSAIPA%2FAI%2F0105%2F2019/PT#
info:eu-repo/grantAgreement/FCT/OE/PD%2FBDE%2F142816%2F2018/PT#
info:eu-repo/grantAgreement/FCT/OE/PD%2FBDE%2F150304%2F2019/PT#
info:eu-repo/grantAgreement/FCT/OE/PD%2FBDE%2F150672%2F2020/PT#
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Artificial intelligence
KW - Attention
KW - HCI
KW - Occupational health
KW - Work-related disorders
UR - http://www.scopus.com/inward/record.url?scp=85111983813&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-78288-7_25
DO - 10.1007/978-3-030-78288-7_25
M3 - Conference contribution
AN - SCOPUS:85111983813
SN - 978-3-030-78287-0
T3 - IFIP Advances in Information and Communication Technology
SP - 262
EP - 269
BT - Technological Innovation for Applied AI Systems - 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021, Proceedings
A2 - Camarinha-Matos, Luis M.
A2 - Ferreira, Pedro
A2 - Brito, Guilherme
PB - Springer
CY - Cham
T2 - 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021
Y2 - 7 July 2021 through 9 July 2021
ER -