Information-based processing time affected by human age: An objective parameters-based model

Cavallo, Daniela; Facchini, Francesco; Mossa, Giorgio

doi:10.1016/j.ifacol.2021.08.001

Cited by 3 publications

(1 citation statement)

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“…On the other hand, cognitive tasks aim to replicate high levels of attention and mental concentration in real manufacturing contexts. Examples are the N-back task [13,19], [28,29], the auditory stimulus detection task [11], or the visual search task [17]. Motor tasks are instead proposed to measure physical workload, while cognitive tasks are usually related to mental workload; however, standard tasks have still not emerged.…”

Section: Literature Reviewmentioning

confidence: 99%

Workload and stress evaluation in advanced manufacturing systems

Blandino

2023

Materials Research Proceedings

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Abstract. Industry 5.0 emphasizes the development of human-centred work environments, shifting the focus from technologies embedded in manufacturing systems to workers. Efforts in the literature focus on operators' well-being for workstation configuration or on stress in collaborative environments, but few papers consider stress induced by management practices in advanced manufacturing contexts, although “lean” or “agile” for instance could in principle lead to more stressful workplaces. This paper reviews the literature, evaluating the mental and physical workload of production line operators who perform mentally demanding tasks and experience stress in advanced manufacturing systems. The goal is to design and to perform a pilot test on an innovative and rigorous research protocol, to be adopted in ‘non-fictional’ experiments, and able to compare push vs pull settings and their effects on workers’ workload and stress (WLS). The results will highlight new sources of stress, contributing to the development of human-centred and socially sustainable manufacturing systems.

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Section: Literature Reviewmentioning

confidence: 99%

Workload and stress evaluation in advanced manufacturing systems

Blandino

2023

Materials Research Proceedings

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Agent's Motor Performance: an Index of Difficulty-based Model

Lucchese

Mummolo²,

Digiesi

et al. 2022

IFAC-PapersOnLine

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How to Measure Stress in Smart and Intelligent Manufacturing Systems: A Systematic Review

Blandino

2023

Systems

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The Fourth Industrial Revolution has introduced innovative technologies to manufacturing, resulting in digital production systems with consequences on workers’ roles and well-being. From the literature emerges the necessity to delve into the work-related stress phenomenon since it affects workers’ health status and performance and companies’ productivity. This review summarises the stress indicators and other influential factors in order to contribute to a stress assessment of human workers in smart and intelligent manufacturing systems. The PRISMA methodology is adopted to select studies consistent with the aim of the study. The analysis reviews objective measurements, such as physical, physiological, and subjective measurements, usually driven by a psychological perspective. In addition, experimental protocols and environmental and demographic variables that influence stress are illustrated. However, the investigation of stress indicators combined with other factors leads to more reliable and effective results. Finally, it is discovered that standards regarding stress indicators and research variables investigated by experimental studies are lacking. In addition, it is revealed that environmental and demographic variables, which may reveal significant suggestions for stress investigation, are rather neglected. This review provides a theorical summary of stress indicators for advanced manufacturing systems and highlights gaps to inspire future studies. Moreover, it provides practical guidelines to analyse other factors that may influence stress evaluation.

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Information-based processing time affected by human age: An objective parameters-based model

Cited by 3 publications

References 28 publications

Workload and stress evaluation in advanced manufacturing systems

Workload and stress evaluation in advanced manufacturing systems

Agent's Motor Performance: an Index of Difficulty-based Model

How to Measure Stress in Smart and Intelligent Manufacturing Systems: A Systematic Review

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