Mental workload assessment using a fuzzy multi-criteria method

Eraslan, Ergün; Can, Gülin Feryal; Atalay, Kumru Dıdem

doi:10.17559/tv-20140401112509

Cited by 6 publications

(3 citation statements)

References 26 publications

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“…Analysing the broad issue of fatigue in mining facilities, the authors identified and verified the basic criteria influencing fatigue in miners. A simple standardized interview of a selected population, as a frequently preferred subjective technique [13], was used to determine the subjective importance of various criteria. Interviewing was conducted among miners employed in Polish bituminous coal mines.…”

Section: Methodsmentioning

confidence: 99%

Use of the Methodology of Network Thinking for a Fatigue Criteria Investigation Based on the Example of Mining Companies

et al. 2020

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In the paper the factors of workers fatigue were tested by applying network thinking methodology supported by statistical analysis to determine the nature of individual factors for the fatigue management system development. Analysis of the distribution of factors along the intensity map allowed their classification into individual interaction categories, describing directions for miner fatigue management. Active factors were discovered which are: Elevated temperature, Noise and vibration, Oxygenpoor air and mining gases, High humidity, Poor work organization. Critical factors for fatigue management were: Poor technical condition of equipment and Long and timeconsuming approach to headings.

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Section: Methodsmentioning

confidence: 99%

Use of the Methodology of Network Thinking for a Fatigue Criteria Investigation Based on the Example of Mining Companies

et al. 2020

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“…Because of the multifaceted and multi-dimensional nature of cognitive workload, it is hard to define quantitative criteria that heavily rely on the competences and efforts of users in a specific application (Longo, 2014). Since subjective evaluation can be easily conducted and interpreted on one-dimensional or multi-dimensional scales, it is the most preferred approach (Eraslan et al, 2016). However, this evaluation method generally fails to control dispersion effects, noise and uncertainty during subjective investigation (Katicic et al, 2015), posing a threat to what we refer to the measuring precision.…”

Section: Introductionmentioning

confidence: 99%

Enhanced cognitive workload evaluation in 3D immersive environments with TOPSIS model

Wang

Chardonnet

Merienne

2021

International Journal of Human-Computer Studies

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Research puts forward perception-based cognitive workload evaluation methods to help VR developers and users measuring their workload when playing with a VR application. Approaches to measure workload based on biosensors have progressed significantly, while evaluation based on subjective methods still rely on standard questionnaires such as the NASA-TLX table, the Subjective Workload Assessment Technique and the Modified Cooper Harper scale. The pre-defined questions enable operators to carry out experiments and analyse the data more easily than with biofeedback. However, the subjective evaluation process can bias the results because of unperceived internal changes and unknown factors among users. It is therefore necessary to have a method to handle and analyse this uncertainty. We propose to use the Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) model to analyse the NASA-TLX table for measuring the overall user workload instead of using the classical weighted sum method. To show the advantage of the TOPSIS approach, we performed a user experiment to validate the approach and its application to VR, considering factors including the VR platform and the scenario density. Three different weighting methods, including the fuzzy Analytic Hierarchy Process (AHP) from fuzzy logic, the classical weighting based on pairwise comparison and the uniform weighting method, were tested to see the applicability of the TOPSIS model. The results from TOPSIS were consistent with those from other evaluation methods; a significant reduction in the coefficient of variation (CV) was observed when using the TOPSIS model to analyse the NASA-TLX scores, indicating an enhanced precision of the workload evaluation by the TOPSIS method. Our work has a potential application for VR designers and experimenters to compare cognitive workload among conditions and to optimize the settings.

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“…The International Ergonomics Association defined HFEs as "the scientific discipline concerned with the understanding of interactions among humans and other elements of a system, and the profession that applies theory, principles, data and methods to design in order to optimize human well-being and overall system performance [1]. Thus, in the meaning of this definition, specialists, engineers should incorporate ergonomics in the design and assessment process to adapt them to the needs, abilities and limitations of workers, taking into account both mental workload [2] and physical exertion. Many factors influence workload, including: workstation layout, job design, tasks and working methods, tools and their design [3], as well as the anthropometric characteristics of workers [4].…”

Section: Introductionmentioning

confidence: 99%

A New Approach to Ergonomic Physical Risk Evaluation in Multi-Purpose Workplaces

Lasota

2020

Teh. vjesn

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The profile of human factors and ergonomics is rising. To provide an ergonomic work environment, it is necessary to pay special attention to the design and evaluation of the workplace. Traditional production work practices do not sufficiently take into account task variability in job design and assessment. Variations in task content, organizational work performance are seen due to the effective use of equipment, which enables higher levels of productivity to be reached. However, this variation has an impact on physical ergonomics risk factors and, consequently, on the risk of developing work-related musculoskeletal disorders. Variations can cause difficulties in assessing workers' exposure to ergonomic risk. This study aims to develop a framework for the evaluation of physical ergonomic risk in multipurpose workplaces. The presented framework integrates the concepts of well-known observation techniques used in the assessment of physical ergonomic risk factors in the multipurpose workplace. The research framework highlights a worker's exposure to the ergonomic risk and illustrates how these results can be used to find solutions in future ergonomic interventions. The framework's application is presented by illustrative case studies. Theoretical, managerial and practical features of the framework are discussed.

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Mental workload assessment using a fuzzy multi-criteria method

Cited by 6 publications

References 26 publications

Use of the Methodology of Network Thinking for a Fatigue Criteria Investigation Based on the Example of Mining Companies

Use of the Methodology of Network Thinking for a Fatigue Criteria Investigation Based on the Example of Mining Companies

Enhanced cognitive workload evaluation in 3D immersive environments with TOPSIS model

A New Approach to Ergonomic Physical Risk Evaluation in Multi-Purpose Workplaces

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