Methods for Measuring Mental Stress and Strain

Schütte, Martin

doi:10.1007/978-3-642-01293-8_30

Industrial Engineering and Ergonomics 2009

DOI: 10.1007/978-3-642-01293-8_30

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Methods for Measuring Mental Stress and Strain

Martin Schütte

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Cited by 3 publications

References 29 publications

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Ambulatory Assessment of Skin Conductivity During First Thesis Presentation: Lower Self-Confidence Predicts Prolonged Stress Response

Elfering

Grebner

2011

Appl Psychophysiol Biofeedback

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In this field study self-confidence was tested to predict the course of galvanic electrodermal stress response prior, during and after public speaking. Ten graduate students initially rated their self-confidence and afterwards presented their thesis proposals orally in a 10-min presentation to their supervisor and peers. Galvanic skin response level was measured throughout and analysed for 10 min prior to, during, and 10 min after the presentation. Two major galvanic electrodermal stress response types were observed. Five students showed a 'healthy response', i.e. an anticipatory increase in electrodermal conductance, followed by a decrease after termination of the presentation. The other five students showed a steady increase of skin conductance during and after their presentation ('prolonged response'). In line with the allostatic load model the 'prolonged response' group reported significantly lower self-confidence before presentation than the 'healthy response' group (p \ 0.01). Self-confidence is a resource in novices facing an unfamiliar stressor.

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Ambulatory Assessment of Skin Conductivity During First Thesis Presentation: Lower Self-Confidence Predicts Prolonged Stress Response

Elfering

Grebner

2011

Appl Psychophysiol Biofeedback

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A framework for operative and social sustainability functionalities in Human-Centric Cyber-Physical Production Systems

Pinzone

Albé

Orlandelli

et al. 2020

Computers & Industrial Engineering

126

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In a near future where manufacturing companies are faced with the rapid technological developments of Cyber-Physical Systems (CPS) and Industry 4.0, a need arises to consider how this will affect human operators remaining as a vital and important resource in modern production systems. What will the implications of these orchestrated and ubiquitous technologies in production -a concept we call Cyber-Physical Production Systems (CPPS) -be on the health, learning and operative performance of human workers? This paper makes three main contributions to address the question. First, it synthesizes the diverse literature regarding CPS and social sustainability in production systems. Second, it conceptualizes a holistic framework, the CyFL Matrix, and outlines a guideline to analyze how the functionalities of a CPPS relate to operational and social sustainability-related performance impacts at different levels of analysis. Finally, it presents an industrial use case, which the CyFL Matrix and the related guidelines are applied to. In doing so, the study offers first support to researchers and manager of manufacturing companies willing to define suitable operational and social sustainability-related performances for Humancentric Cyber-Physical Production Systems of the future.

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“Under Pressure!”

Klumpp,

Ruiner,

Hagemann

et al. 2024

International Journal of Technology and Human Interaction

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The use of digital technologies or applications can have positive and negative effects on workers: Digital technologies might support workers' decision-making by providing necessary information, but digital technologies might also lead to time pressure and mental strain. In this paper, the authors specifically analyze the characteristics of digital work and the link to mental strain to estimate the effects on work performance in industry. They report survey data from four German companies in the manufacturing, service, and logistics sector with N=279 participants. Results indicate that technology-based organizational and personal resources mitigate, while technology-based demands enhance mental stress and strain. Time pressure is the most important individual factor increasing mental stress and strain. Mental strain, in turn, negatively influences work performance. Considering such connections is crucial for human resource management in digital work contexts and specifically workers' use of and interaction with technologies beyond the analyzed specific manufacturing, service, and logistics industries.

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Methods for Measuring Mental Stress and Strain

Cited by 3 publications

References 29 publications

Ambulatory Assessment of Skin Conductivity During First Thesis Presentation: Lower Self-Confidence Predicts Prolonged Stress Response

Ambulatory Assessment of Skin Conductivity During First Thesis Presentation: Lower Self-Confidence Predicts Prolonged Stress Response

A framework for operative and social sustainability functionalities in Human-Centric Cyber-Physical Production Systems

“Under Pressure!”

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