Perceived stress in human-machine interaction in modern manufacturing environments-Results of a qualitative interview study

Psychosocial work stressors and mental health in Ph.D. students in Germany-Evidence from two cross-sectional samples

BACKGROUND

Ph.D. students have been shown to report a lower mental health status compared to the general population. However, not much is known about the impact of psychosocial work stressors that could contribute to their increased risks of mental health symptoms. This study aims firstly to assess levels of psychosocial stressors, perceived stress, and mental health symptoms in Ph.D. students. Second, it investigates which psychosocial stressors are most strongly associated with mental health symptoms and perceived stress.

METHODS

One self-reported questionnaire was distributed among Ph.D. students at one university in Germany, in summer 2023 (T1) and winter 2023/2024 (T2). Psychosocial stressors were assessed with the short version of the effort-reward imbalance (ERI) questionnaire and with the 16-item DYNAMIK questionnaire. Mental health symptoms were assessed with the 12-item-version of the general health questionnaire (GHQ-12). Perceived stress levels were assessed with the 10-item perceived stress scale (PSS). Within a cross-sectional study design, multiple linear regression analyses were performed in two study samples (n = 267 at T1; n = 244 at T2).

RESULTS

Ph.D. students reported an imbalance between effort and reward in both study samples (T1: M = 1.34, SD = 0.45; T2: M = 1.27, SD = 0.52). Effort-reward-ratio, boundary permeability, and leader support were associated with mental health symptoms and perceived stress in both study samples, when controlled for age and gender. For example, effort-reward-ratio showed a meaningful impact on mental health symptoms for the study sample at T2 (B = 3.85; p < .05, adj. R2 = 0.288).

DISCUSSION

Both study samples showed high prevalence of mental health symptoms and effort-reward imbalance also in comparison to other research findings. An imbalance between effort and reward, boundary permeability and leader support show the most strongly associations with mental health symptoms and perceived stress. Future longitudinal studies could help to support our findings in terms of a causal stressor-strain association. Universities should focus on mental health of Ph.D. students and direct their support towards promoting student-supervisor relationships and clear guidelines for Ph.D. students' working hours.

A new era for stress research: supporting user performance and experience in the digital age

Stress is both a driver of objective performance impairments and a source of negative user experience of technology. This review addresses future directions for research on stress and ergonomics in the digital age. The review is structured around three levels of analysis. At the individual user level, stress is elicited by novel technologies and tasks including interaction with AI and robots, working in Virtual Reality, and operating autonomous vehicles. At the organisational level, novel, potentially stressful challenges include maintaining cybersecurity, surveillance and monitoring of employees supported by technology, and addressing bias and discrimination in the workplace. At the sociocultural level, technology, values and norms are evolving symbiotically, raising novel demands illustrated with respect to interactions with social media and new ethical challenges. We also briefly review the promise of neuroergonomics and emotional design to support stress mitigation. We conclude with seven high-level principles that may guide future work.

Spatial-Frequency Characteristics of EEG Associated With the Mental Stress in Human-Machine Systems

Accurate assessment of user mental stress in human-machine system plays a crucial role in ensuring task performance and system safety. However, the underlying neural mechanisms of stress in human-machine tasks and assessment methods based on physiological indicators remain fundamental challenges. In this paper, we employ a virtual unmanned aerial vehicle (UAV) control experiment to explore the reorganization of functional brain network patterns under stress conditions. The results indicate enhanced functional connectivity in the frontal theta band and central beta band, as well as reduced functional connectivity in the left parieto-occipital alpha band, which is associated with increased mental stress. Evaluation of network metrics reveals that decreased global efficiency in the theta and beta bands is linked to elevated stress levels. Subsequently, inspired by the frequency-specific patterns in the stress brain network, a cross-band graph convolutional network (CBGCN) model is constructed for mental stress brain state recognition. The proposed method captures the spatial-frequency topological relationships of cross-band brain networks through multiple branches, with the aim of integrating complex dynamic patterns hidden in the brain network and learning discriminative cognitive features. Experimental results demonstrate that the neuro-inspired CBGCN model improves classification performance and enhances model interpretability. The study suggests that the proposed approach provides a potentially viable solution for recognizing stress states in human-machine system by using EEG signals.

OSH related risks and opportunities for industrial human-robot interaction: results from literature and practice

Robotic systems are an integral component of today's work place automation, especially in industrial settings. Due to technological advancements, we see new forms of human-robot interaction emerge which are related to different OSH risks and benefits. We present a multifaceted analysis of risks and opportunities regarding robotic systems in the context of task automation in the industrial sector. This includes the scientific perspective through literature review as well as the workers' expectations in form of use case evaluations. Based on the results, with regards to human-centred workplace design and occupational safety and health (OSH), implications for the practical application are derived and presented. For the literature review a selected subset of papers from a systematic review was extracted. Five systematic reviews and meta-analysis (492 primary studies) focused on the topic of task automation via robotic systems and OSH. These were extracted and categorised into physical, psychosocial and organisational factors based on an OSH-factors framework for advanced robotics developed for the European Agency for Safety and Health at Work (EU-OSHA). To assess the workers' perspective, 27 workers from three European manufacturing companies were asked about their expectations regarding benefits and challenges of robotic systems at their workplace. The answers were translated and categorised in accordance with the framework as well. The statements, both from literature and the survey were then analysed according to the qualitative content analysis, to gain additional insight into the underlying structure and trends in them. As a result, new categories were formed deductively. The analysis showed that the framework is capable to help categorise both findings from literature and worker survey into basic categories with good interrater reliability. Regarding the proposed subcategories however, it failed to reflect the complexity of the workers' expectations. The results of the worker evaluation as well as literature findings both predominantly highlight the psychosocial impact these systems may have on workers. Organisational risks or changes are underrepresented in both groups. Workers' initial expectations lean towards a positive impact.

Psychological assessment of AI-based decision support systems: tool development and expected benefits

This study aimed to develop an evaluation tool that assesses the use of AI-based decision support systems (DSSs) in professional practice from a human-centered perspective. Following the International Organization for Standardization, this perspective aims to ensure that the use of interactive technologies improves users' psychological load experience and behavior, e.g., in the form of reduced stress experience or increased performance. Concomitantly, this perspective attempts to proactively prevent or detect and correct the potential negative effects of these technologies on user load, such as impaired satisfaction and engagement, as early as possible. Based on this perspective, we developed and validated a questionnaire instrument, the Psychological Assessment of AI-based DSSs (PAAI), for the user-centered evaluation of the use of AI-based DSSs in practice. In particular, the instrument considers central design characteristics of AI-based DSSs and the corresponding work situation, which have a significant impact on users' psychological load. The instrument was tested in two independent studies. In Study 1, N = 223 individuals were recruited. Based on the results of item and scale analyses and an exploratory factor analysis, the newly developed instrument was refined, and the final version was tested using a confirmatory factor analysis. Findings showed acceptable-to-good fit indices, confirming the factorial validity of the PAAI. This was confirmed in a second study, which had N = 471 participants. Again, the CFA yielded acceptable-to-good fit indices. The validity was further confirmed using convergent and criterion validity analyses.

Stressors, Resources, and Strain Associated with Digitization Processes of Medical Staff Working in Neurosurgical and Vascular Surgical Hospital Wards: A Multimethod Study

The digitization of German hospitals is proceeding continuously, leading to the implementation of new digital technologies, such as electronic health records (EHRs) or other technologies, used for the purpose of medical documentation tasks. Even though the replacement of paper documentation through digitized documentation in general promises to come along with plenty of benefits, the daily utilization of technologies might also lead to stresses and strains among the medical staff, eventually possibly leading to the development of different negative work and health-related outcomes. This study, therefore, aims at identifying persisting digitization-associated stressors and resources among medical hospital staff, examining their influences on different work and health-related outcomes, and finally, identifying potential needs for preventive measures. A quantitative study in the form of an online questionnaire survey was conducted among physicians working in the medical field of neuro- and vascular surgery in German hospitals. The study was carried out between June and October 2022 utilizing an online questionnaire based on several standardized scales, such as the technology acceptance model (TAM) and the technostress model, as well as on several scales from the Copenhagen Psychosocial Questionnaire (COPSOQ). The study found medium levels of technostress among the participating physicians (n = 114), as well as low to medium levels of persisting resources. The queried physicians, on average, reported low levels of burnout symptoms, generally described their health status as good, and were mostly satisfied with their job. Despite the prevalence of technostress and the low levels of resources among the surveyed physicians, there is little awareness of the problem of digital stress, and preventive measures have not been widely implemented yet in the clinics, indicating a needs gap and the necessity for the strategic and quality-guided implementation of measures to effectively prevent digital stress from developing.

Positioning Technostress in the JD-R Model Perspective: A Systematic Literature Review

This paper aims to describe the effects of Technostress on employees' well-being and productivity. We adopted the Job Demands Resources Model as a theoretical framework to analyze the "Technostress" phenomenon in order to clarify whether and how technology can be considered a job demand, a job resource, or part of the effects of personal resources in the workplace. The sources search and selection process was conducted according to the PRISMA guidelines and regarded papers published from 2010 to 2022. Overall, the findings show that most selected papers consider ICT a job demand negatively affecting human behavior, thoughts, and attitudes. In contrast, some report that ICT acts as a job resource, thus reducing the impact of job demands and their physiological and psychological costs. Finally, a third category of studies does not consider the effects of ICT itself but gives more space to the interaction among ICT, the organizational context in which it is used, and the personal characteristics of ICT users. More specifically, the findings show how individual features and organizational procedures can shape the interpretations employees make about their ICT-related experiences at work and, consequently, their performance or well-being. Findings suggest that when ICT tools are strategically planned and used within organizations, they can enrich the employee experience at work, positively affecting the individual and the organizational level.

Using the ISM-ANP-SD combination model to explore the mechanism and intervention strategies of influencing factors of coal mine safety system

Background

With the intelligent construction of coal mines, the number of coal mine accidents is gradually decreasing, but the complexity of accidents is increasing. Understanding the interaction mechanism among the influencing factors of the coal mine safety system is an essential part of improving and enhancing the safety of the coal mine system.

Methods

The descriptive, structural model-network hierarchical analysis (ISM-ANP) was used to explore the interaction between the factors influencing the coal mine safety system and determine each factor's importance. A system dynamics simulation model was constructed to clarify the mechanism of each factor's effect on the safety system.

Results

The results show that Individual miners' factors directly influence coal mine system safety, organizational management factors, and group factors indirectly influence system safety and play the role of macro regulation. The intelligent system is the most profound factor influencing system safety. There are apparent differences in the influence of different subsystems on system safety, with organizational management having the most significant influence on system safety, followed by individual miners and group factors, and intelligent system factors and external environmental factors having a more negligible influence on system safety.

Conclusion

There is a complex interaction between the factors affecting the safety of the coal mine system, and there are apparent differences in the influence of different subsystems on the safety level of the coal mine system. This study puts forward the intervention strategy to improve the safety of the coal mine system, which provides theoretical support and method guidance for preventing coal mine accidents and improving the safety level of the coal mine system.

Digitalisation in Craft Enterprises: Perceived Technostress, Readiness for Prevention and Countermeasures-A Qualitative Study

INTRODUCTION

Digital technologies are increasingly used in the craft sector. Innovative technologies have several benefits for businesses but working with them can also induce negative feelings and stress. Data are lacking on perceived stress as well as the resulting strain and effects on health. However, information is needed about the principles of healthy working conditions in the context of digitalisation in the craft sector. To identify targeted starting points for preventive interventions to reduce technostress, we studied the perception of managers and employees of craft enterprises about digitalisation.

METHOD

26 guideline-based interviews were conducted with managers and employees in the craft sector to assess their understanding of digitalisation and the perceived effects on their health. The data analysis was based on a structured qualitative content analysis.

RESULTS

In the administrative area, digitalisation is perceived as simplifying work, as information, for example, becomes more easily accessible. The actual craft work, however, is perceived as more psychologically stressful, e.g., due to technologically more complex heating systems. Likewise, an increased stress experience is described in connection with constant accessibility and workplace surveillance. To reduce the stress experience, clear prevention wishes such as digital breaks or more participation in decisions about digital technologies are stated.

CONCLUSION

Managers and employees in craft enterprises experience increasing psychological strain due to technostress. However, there is a willingness to take preventive interventions and a desire for more support in creating healthy working conditions in the context of digitalisation.

Perceived software usability and usability-related stress in German craft enterprises

BACKGROUND

Digitalisation is reaching German craft enterprises which must increasingly deal with complex software. The usability of the software is crucial for the effective use in everyday work and insufficient usability is associated with increased stress and strain. It thus seems necessary to identify possible usability-related stressors in craft-enterprise software.

OBJECTIVE

Here we examine how users evaluate the usability of craft-enterprise software and whether usability is associated with perceived work-related stress.

METHODS

To assess the perceived usability of German craft-enterprise software, an online survey was conducted with 161 participants from craft enterprises using a validated usability questionnaire based on ISO 9241-110. In addition, 26 guideline-based interviews were conducted to identify the experience of managers and employees with craft-enterprise software, possible usability-related stress and strain.

RESULTS

Both studies show that craft enterprises use software but only to a limited extend. While back-office administrative processes are routinely supported by software, mobile software support to manage customer service is used less frequently. Increasing complexity of craft-enterprise software is posing growing demands on the users. Software usability was rated to be crucial in the online survey, but the available software is only rated to be acceptable. This was also reflected in the interviews. Participants described usability problems and their relevance as stressors during software use. In consequence, the users experience strain such as feeling overwhelmed and frustrated.

CONCLUSION

It can be concluded that improving the usability of craft-enterprise software should reduce work-related stress and support craft enterprises to master the digitalisation process.

Impacts of digital business on global value chain participation in European countries

As the first empirical study of the nonlinear effects of digital business on global value chains (GVC), we provide insight into the nonlinear effects of digital business on the global value chain (GVC) values. We employ four indicators, including the value of online selling, sales through E-commerce, and customer relationship management (CRM) usage, to capture the prevalence of digital business in the economy. By testing a sample of 25 European countries that have been analyzed using various econometric techniques over the period 2012-2019, our estimation results confirm that GVC values are a U-shaped function of digitalization. That is, an increase in digitalization pervasiveness initially induces more significant risks and uncertainties, hindering European countries from getting involved in or scale-up within the GVC. However, a rise in digitalization pervasiveness goes beyond a specific threshold, which facilitates GVC activities as more opportunities are created. Furthermore, our findings suggest that digital business contributes significantly to reducing the adverse influences of global uncertainty on the GVC values, while the marginal effects of digital business on GVC values become more pronounced in countries with the most advanced institutional structure.

Development and implementation processes of digitalization in engineer-to-order manufacturing: enablers and barriers

This study seeks to gain knowledge about key conditions in the process of digitalization using a socio-technical systems design as a theoretical framework and a case-study approach. Semi-structured interviews with 15 relevant stakeholders are conducted to learn about barriers to and enablers of the development and implementation process in a manufacturing company. After conducting a thematic analysis, eight higher-ranked themes relevant to the digitalization process are identified. These are grouped to describe the overarching phenomena, resulting in four enablers (shared trust, shared visual understanding, shared user perspective, and shared learning) and four barriers (trusting the system, understanding benefits, perspective of economics, and learning to manage scope). The study takes a holistic view of digitalization in its investigation of the development and subsequent implementation processes. The findings contribute to the literature via three key takeaways for stakeholders of a digitalization process in manufacturing. First, it is vital to understand and strengthen the role of the key enablers identified in this paper. Second, managers should observe and identify barriers in their own organizations, related both to technical and social aspects. Third, some of the enablers described in this paper can serve managers as helpful tools to approach the expected barriers to digitalization. This paper also challenges the research literature by arguing that research conducted on digitalization that sets new standards and premises for the working life in industry needs to use up-to-date socio-technical design concepts and theories.

Risk factors for digital stress in German public administrations

OBJECTIVE

As the digitization of the working world progresses, the demands on employees change. Not least, this is true for the setting of public administrations in Germany, which is currently affected by the transformation to E-Government. This study aims to identify and describe a risk cluster of digitally stressed employees in public administrations.

METHODS

An online sample of 710 employees from three public administrations in North Rhine-Westphalia were surveyed about digital stress (7 items) and several potential risk factors (19 items) derived from the current research. In the first step, a hierarchical agglomerative cluster analysis is used to detect the risk cluster. This is followed by a comparison to the group of the remaining employees regarding their risk profiles.

RESULTS

The analysis states that the digitally stressed cluster accounts for approximately ten percent of the public administration's employees of the total sample. Employees in the risk cluster are less satisfied with on-site work overall, experience less collegial support on-site, experience less collegial support in the home office, resign more often, are more likely to feel overwhelmed, are less educated, are older in age and more often have relatives in need of care.

CONCLUSION

This work was able to identify and describe a group of digitally stressed rather than left-behind employees in public administrations to bring awareness to potentially destructive factors in the digital transformation process but eventually to social inequalities. The findings offer the basis for interventions to arise and evoke potential for further research.

Digitalisation and Employees' Subjective Job Quality in the Second Half of Working Life in Germany

Since digitalisation alters occupational task profiles via automation processes, job quality is also likely to be affected. While existing literature mainly focusses on objective job quality, this study asks if and how digitalisation is associated with employees' subjective job quality in the second half of working life in Germany. Analyses are based on the German Ageing Survey 2014. Our sample includes n = 1541 employees aged 40-65 years who are subject to social insurance contributions. Subjective job quality is operationalised with regards to job satisfaction and perceived occupational stress in general, and ten aspects of job quality in detail. Digitalisation is approximated by substitution potentials of occupations. We control the association for compositional effects in the workforce, as well as for the moderating effect of perceived job insecurity. The results indicate that digitalisation is predominantly beneficial but also unfavourable in a few other respects for employees' subjective job quality. The higher the degree of digitalisation, the higher is the employee's general job satisfaction on average; for general perceived occupational stress, we find no significant association. Regarding single aspects of subjective job quality, employees working in more digitalised occupations are found to report on average higher satisfaction with working hours and earnings, and lower levels of stress due to tight schedules. However, they also report higher levels of stress due to negative environmental factors.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s11205-021-02854-w.

[Do digital technologies at work impact mental health of employees?]

Hintergrund

Die traditionelle Arbeitsstressforschung identifizierte eine große Zahl von Stressoren. Die Technik als Stressquelle stand dagegen lange nicht im Fokus des Interesses.

Fragestellung

Dieser Artikel beschreibt das Konzept des Technostresses und diskutiert mögliche Risiken und Chancen digitaler Technologien bei der Arbeit und deren Auswirkungen auf die psychische Gesundheit.

Material und Methode

Übersicht zur Konzeptualisierung von Technostress, potenzieller Wirkmechanismen und Zusammenfassung empirischer Ergebnisse zum Einfluss auf die psychische Gesundheit.

Ergebnisse

Bisher wurden mehrere Domänen von Technostress definiert. Obgleich die Evidenzbasis schmal ist und Studien mit methodischen Einschränkungen behaftet sind, so legen erste Ergebnisse zumindest nahe, dass sich bestimmte Arten von technischem Stress bei der Arbeit ungünstig auf die psychische Gesundheit auswirken können. Zugleich können digitale Technologien auch positive Auswirkungen auf das psychische Wohlbefinden von Arbeitnehmern haben, wenn sie z. B. eine bessere Arbeitsorganisation ermöglichen.

Schlussfolgerung

Die Digitalisierung der Arbeit scheint sowohl Chancen als auch Risiken für die psychische Gesundheit der Beschäftigten zu haben. Implikationen für weitere Forschung in diesem sich entwickelnden Feld werden herausgearbeitet.

Digitally connected work and its consequences for strain - a systematic review

Background

Evolving digitization has an impact not only on the organization of work, but also on the health of employees. Dealing with new technologies, integrating new processes and requirements into work, and restructuring tasks among others are demands that can be stressful and impair health.

Objectives

Our aim was to identify (clusters of) working conditions associated with digitally connected work and to analyze their relations with strain, that is, health and well-being outcomes.

Methods

Between May and October 2019, a search string was used to systematically search six databases (EMBASE, Medline, PSYNDEX, PsycInfo, SocIndex, WISO) for German and English texts according to the PEO scheme. The methodological quality was assessed using the Quality Assessment Tool for Studies with Diverse Design.

Results

14 studies were identified. Despite the search string containing latest technologies, we identified mostly studies from the 1980s/90s. To aggregate findings, a categorization of work factors (cognitive demands, social factors, organizational factors, environmental factors) and health factors (motivation/satisfaction, reduced well-being/affective symptoms, physiological parameters/somatic complaints) is introduced. The most frequently identified work factors belong to the category of cognitive demands. For health factors, motivation/satisfaction was identified most often. 475 associations were found in total.

Conclusions

This systematic review provides an overview of work and health factors that have been studied between 1981 and 2019. Recent texts frequently study individualized health factors (e.g., life satisfaction) whereas objective physiological measurement data and objective survey methods such as workplace analysis are not used. This latter approach was predominantly found in the older studies. In order to obtain a comprehensive picture, however, it is worthwhile to use a combination of these subjective and objective approaches for future studies in this field.

A Vision of Future Healthcare: Potential Opportunities and Risks of Systems Medicine from a Citizen and Patient Perspective-Results of a Qualitative Study

Advances in (bio)medicine and technological innovations make it possible to combine high-dimensional, heterogeneous health data to better understand causes of diseases and make them usable for predictive, preventive, and precision medicine. This study aimed to determine views on and expectations of “systems medicine” from the perspective of citizens and patients in six focus group interviews, all transcribed verbatim and content analyzed. A future vision of the use of systems medicine in healthcare served as a stimulus for the discussion. The results show that although certain aspects of systems medicine were seen positive (e.g., use of smart technology, digitalization, and networking in healthcare), the perceived risks dominated. The high degree of technification was perceived as emotionally burdensome (e.g., reduction of people to their data, loss of control, dehumanization). The risk-benefit balance for the use of risk-prediction models for disease events and trajectories was rated as rather negative. There were normative and ethical concerns about unwanted data use, discrimination, and restriction of fundamental rights. These concerns and needs of citizens and patients must be addressed in policy frameworks and health policy implementation strategies to reduce negative emotions and attitudes toward systems medicine and to take advantage of its opportunities.

The relationship between health IT characteristics and organizational variables among German healthcare workers

Health information technologies (HITs) are widely employed in healthcare and are supposed to improve quality of care and patient safety. However, so far, their implementation has shown mixed results, which might be explainable by understudied psychological factors of human-HIT interaction. Therefore, the present study investigates the association between the perception of HIT characteristics and psychological and organizational variables among 445 healthcare workers via a cross-sectional online survey in Germany. The proposed hypotheses were tested using structural equation modeling. The results showed that good HIT usability was associated with lower levels of techno-overload and lower IT-related strain. In turn, experiencing techno-overload and IT-related strain was associated with lower job satisfaction. An effective error management culture at the workplace was linked to higher job satisfaction and a slightly lower frequency of self-reported medical errors. About 69% of surveyed healthcare workers reported making errors less frequently than their colleagues, suggesting a bias in either the perception or reporting of errors. In conclusion, the study's findings indicate that ensuring high perceived usability when implementing HITs is crucial to avoiding frustration among healthcare workers and keeping them satisfied. Additionally healthcare facilities should invest in error management programs since error management culture is linked to other important organizational variables.

Development and Validation of a Questionnaire to Measure Psychosocial Work Stressors in Modern Working Environments

OBJECTIVE

The rapid development of technology is changing working conditions of many employees. With this, appropriate measurement instruments to capture work-related psychosocial risks to create healthy working conditions are becoming more and more important. Therefore, we developed and validated a questionnaire to assess stressors in work settings which are characterized by a high degree of digitization.

METHOD

The validation was based on two independent studies with data collected in four subsamples. All participants were asked about their working conditions and health-related topics using online questionnaires.

RESULTS

The resulting 16-item questionnaire consists of five scales: work load, boundary permeability, participation, leader support, and usability.

CONCLUSIONS

The results show that the five identified stressors showed acceptable to good values with regard to reliability (internal consistencies, test-retest reliabilities, and interrater agreement) as well as (convergent and concurrent) validity.

Implementation of a Six-Layer Smart Factory Architecture with Special Focus on Transdisciplinary Engineering Education

Smart factories are an integral element of the manufacturing infrastructure in the context of the fourth industrial revolution. Nevertheless, there is frequently a deficiency of adequate training facilities for future engineering experts in the academic environment. For this reason, this paper describes the development and implementation of two different layer architectures for the metal processing environment. The first architecture is based on low-cost but resilient devices, allowing interested parties to work with mostly open-source interfaces and standard back-end programming environments. Additionally, one proprietary and two open-source graphical user interfaces (GUIs) were developed. Those interfaces can be adapted front-end as well as back-end, ensuring a holistic comprehension of their capabilities and limits. As a result, a six-layer architecture, from digitization to an interactive project management tool, was designed and implemented in the practical workflow at the academic institution. To take the complexity of thermo-mechanical processing in the metal processing field into account, an alternative layer, connected with the thermo-mechanical treatment simulator Gleeble 3800, was designed. This framework is capable of transferring sensor data with high frequency, enabling data collection for the numerical simulation of complex material behavior under high temperature processing. Finally, the possibility of connecting both systems by using open-source software packages is demonstrated.

Technostress at work and mental health: concepts and research results

PURPOSE OF REVIEW

The ongoing digitalization has profound consequences for work in modern economies. It is, therefore, important to investigate if digital technologies increase stress at work (i.e. 'technostress') and lead to impaired mental health. This article describes the concept of technostress and discusses possible risks and opportunities of digital technologies at work and their effect on mental health.

RECENT FINDINGS

Studies report that the use of digital technologies is associated with specific psychosocial demands (e.g. higher workload, complexity, conflicts between work and other life domains) and resulting psychobiological stress reactions. It is, however, still unclear if this kind of technostress causes mental disorders because epidemiological studies are missing. Yet, an increasing number of studies suggests that well designed digital work may promote good health if it optimizes work organization or enables greater flexibility, and increases control and autonomy at work.

SUMMARY

Digitalization of work seems to have both opportunities and risks for the mental health of employees. The number of studies is currently limited and further research is necessary to describe the advantages and disadvantages more precisely.

The Effects of Technological Developments on Work and Their Implications for Continuous Vocational Education and Training: A Systematic Review

Technology is changing the way organizations and their employees need to accomplish their work. Empirical evidence on this topic is scarce. The aim of this study is to provide an overview of the effects of technological developments on work characteristics and to derive the implications for work demands and continuous vocational education and training (CVET). The following research questions are answered: What are the effects of new technologies on work characteristics? What are the implications thereof for continuous vocational education and training? Technologies, defined as digital, electrical or mechanical tools that affect the accomplishment of work tasks, are considered in various disciplines, such as sociology or psychology. A theoretical framework based on theories from these disciplines (e.g., upskilling, task-based approach) was developed and statements on the relationships between technology and work characteristics, such as complexity, autonomy, or meaningfulness, were derived. A systematic literature review was conducted by searching databases from the fields of psychology, sociology, economics and educational science. Twenty-one studies met the inclusion criteria. Empirical evidence was extracted and its implications for work demands and CVET were derived by using a model that illustrates the components of learning environments. Evidence indicates an increase in complexity and mental work, especially while working with automated systems and robots. Manual work is reported to decrease on many occasions. Workload and workflow interruptions increase simultaneously with autonomy, especially with regard to digital communication devices. Role expectations and opportunities for development depend on how the profession and the technology relate to each other, especially when working with automated systems. The implications for the work demands necessary to deal with changes in work characteristics include knowledge about technology, openness toward change and technology, skills for self- and time management and for further professional and career development. Implications for the design of formal learning environments (i.e., the content, method, assessment, and guidance) include that the work demands mentioned must be part of the content of the trainings, the teachers/trainers must be equipped to promote those work demands, and that instruction models used for the learning environments must be flexible in their application.

Three-Way Interaction Effect of Job Insecurity, Job Embeddedness and Career Stage on Life Satisfaction in A Digital Era

Along with the severe global employment challenges caused by the rapid rise of digital technologies, the job insecurity (JI)-life satisfaction (LS) association has attracted increasing attention. However, there is still a dearth of studies investigating the crucial boundary conditions of JI-LS relationships in non-Western contexts. To fill this gap, we choose China, the world's largest emerging economy, which is undergoing a radical digital transformation, as our research setting. Building on the conservation of resource (COR) theory, we focus on exploring two critical buffers of the JI-LS mechanism, of which job embeddedness (JE) characterizes a significant psychological resource and career stage embodies the time dynamics of this model. Data were collected from a sample of 317 Chinese media organization employees and were analyzed by the moderated hierarchical multiple regression approach. Our results show that JI is negatively related to LS and this relationship becomes stronger when employees have low JE (vs. high). Further, this two-way interaction is moderated by career stage; the impact of JI on LS is (1) stronger only for mid-late career stage employees who experienced low JE, and (2) weaker also only for mid-late career stage employees who experienced high JE. This study enriches the existing body of knowledge on the JI-LS model by highlighting the three-way interaction effect of JI, a critical psychological resource (i.e., JE), and time effect (i.e., career stage) on LS; it implies that older people with a certain amount of career experience and resource accumulation may perceive the effect of JI on LS differently than younger people.