An analytical framework for assessing cognitive capacity and processing speed of operators in industry 4.0

Cavallo, Daniela; Digiesi, Salvatore; Facchini, Francesco; Mummolo, Giovanni

doi:10.1016/j.procs.2021.01.169

Cited by 4 publications

(3 citation statements)

References 34 publications

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“…Peacock (1994) proposed cognitive workload analysis based on fuzzy sets [76]. The cognitive capacity of the machine and computer operators has been examined [75]. Cognitive analysis of e-book reading devices was performed by Wu et al [112].…”

Section: Naridasmentioning

confidence: 99%

A Systematic Review of Cognitive Ergonomics And Safety: General Trends And Application Areas

ATICI,

ADEM,

ŞENOL

et al. 2023

Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım Ve Teknoloji

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The primary purpose of this study is to reveal the studies on Cognitive Ergonomics (CE), determine general trends, show the gaps and extract new knowledge from the body of the literature. Ergonomics evolved from classical to physical and CE. The literature review on CE is quite limited. Thus, we conducted the most comprehensive review of the CE literature between 1974-2021 to provide an original perspective and extend what is known through analysis, modeling and introduction of new theories. 1958 papers identified from Electronic Databases, 254 of them were selected and included in the analysis. The PRISMA technique was used for the systematic reviews of CE literature with the statistical evidences and detailed discussions. As a result, CE studies were classified into 4 main groups with 13 subgroups. This study offers, constructive analyses of scientific publications on CE, by combing the literature and summarizing the current knowledge in a cogent way.Thus, a basis to enhance future applications in CE was provided. It is predicted that CE activities will be used to solve cognitive problems in more and more areas in the rapidly digitalizing world and will take their place soon especially in Metaverse application and softwares.

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Section: Naridasmentioning

confidence: 99%

A Systematic Review of Cognitive Ergonomics And Safety: General Trends And Application Areas

ATICI,

ADEM,

ŞENOL

et al. 2023

Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım Ve Teknoloji

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“…Besides, human interaction with machine, computers and other digital interfaces could add additional load to human cognitive function. The field of cognitive ergonomic is important to maintain worker's work quality that would affect the overall system's performance [6,7] . Studies have been carried out to understand how human respond during interaction with technology [8][9][10] and virtual environments [9,[11][12][13] .…”

Section: Introductionmentioning

confidence: 99%

Cardiac Biometrics and Perceived Workload Regression Analysis Using Random Forest Regressor in Cognitive Manufacturing Tasks

Harmayanti,

Tama,

Gapsari

et al. 2024

MECHTA

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Workload is crucial in managing and maintaining good performance of human resources and allocations. In an advanced manufacturing industry, human job functions had shifted to cognitive tasks. Thus, cognitive workload evaluation should be used to monitor worker’s workload in optimal condition. Most common tool of cognitive workload tools are perceived measurement, like NASA – TLX questionnaire. Despite of its sensitivity to capture workload felt by the workers, this subjective measurement was prone to bias. Objective measurement utilizing biometrics data of the human body during working state was useful to eliminate bias. Cardiac biometrics were one of the many that were closely related to mental activity changes. The objective of this study was to understand the relationship of cardiac biometrics to perceived workload as an indicator of cognitive workload analysis. The study utilized four biometrics, heart rate, HRV low frequency power, total frequency power and ratio of low and high frequency power, were used to analyzed a one hour long cognitive based study case. The study case was designed in a manufacturing planning context referring to manufacturing aptitude tests, to induce cognition process on 30 participants. The biometrics and NASA – TLX score result of all the participants, were then calculated as effect size standardization before input into random forest regressor model to analyze relationship between cardiac biometrics and perceived workload. The result found a moderate relationship between the two (r2 = 0.576). Features importance also showed the most impactful feature to the model is the effect size of frequency power ratio. However, it is recommended to always consider evaluating multiple cardiac biometrics in workload analysis to ensure good model performance.

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“…Interacting with equipment through interfaces requires workers to rely more heavily on their visual focus and memory (Cohen et al, 2018;Gallo & Santolamazza, 2021). In this context, cognitive abilities become more important than physical abilities (Hunt & Madhyastha, 2012), as workers must use their ability to interact with tools and think simultaneously in decision-making processes (Cavallo et al, 2021;Madonna et al, 2019;Wolf et al, 2018). Cognitive ability is a part of a person's mental capacity for processing information and making decisions (Fisher et al, 2017;Parasuraman, 2011;Wickens et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Cognitive Fitness of Post-Retirement Employees in Control Room Settings

Damayanti,

Widyanti,

Sari

et al. 2023

Acad. J. Interdiscip. Stud.

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The increasing number of post-retirement workers in the workforce has become a global trend due to efforts to extend the working period after retirement, which is implemented by many countries considering the rapid aging of their populations. While the presence of post-retirement workers can have positive impacts on personal, company, and government levels, they face challenges in interacting with equipment through interfaces that require heavy reliance on cognitive abilities. Cognitive abilities become more important than physical abilities in multitasking jobs that require a lot of interaction with technology, such as control room jobs. These jobs require a high level of attention, concentration, and decision-making ability, making them highly demanding and challenging. This study aims to determine how post-retirement workers meet job demands in the control room, based on identification of critical cognitive abilities. The method employed in this study is divided into two stages. The first stage involves identifying tasks in the control room based on Cognitive Task Analysis (CTA) and identifying critical tasks using risk assessment and Focus Group Discussion (FGD). FGD was conducted on four different types of companies (telecommunication, broadcasting, process industry, and electrical power) that still employ retired workers in the control room jobs. The second stage involves measuring cognitive abilities in 116 individuals aged 56-60 years. The results of CTA indicate there are critical cognitive abilities in control room jobs, such as reasoning, attention, memory, and perception ability. According to the measurement, post-retirement workers (56 - 60 years old) had the problem of improving reasoning, attention, and perceptive ability, despite cognitive capacity measurements remaining in the medium range. In general, post-retirement workers have high memory abilities (above 500), while their abilities in recognition, perception, coordination, and attention are only at 200-400 (a medium level), indicating a decline in cognitive abilities for post-retirement workers. The high memory ability is positive for supporting work in complex systems, while improvement of cognitive abilities is needed for the declining cognitive aspects. Implication of this study were discuss to this paper to consider factors that affect critical cognitive abilities in post-retirement workers when recruiting and training them to work in the control room. Received: 7 May 2023 / Accepted: 28 July 2023 / Published: 5 September 2023

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An analytical framework for assessing cognitive capacity and processing speed of operators in industry 4.0

Cited by 4 publications

References 34 publications

A Systematic Review of Cognitive Ergonomics And Safety: General Trends And Application Areas

A Systematic Review of Cognitive Ergonomics And Safety: General Trends And Application Areas

Cardiac Biometrics and Perceived Workload Regression Analysis Using Random Forest Regressor in Cognitive Manufacturing Tasks

Cognitive Fitness of Post-Retirement Employees in Control Room Settings

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