Soft computing applications in the field of human factors and ergonomics: A review of the past decade of research.

The main objectives of this study were to 1) review the literature on the applications of soft computing concepts to the field of human factors and ergonomics (HFE) between 2013 and 2022 and 2) highlight future developments and trends. Multiple soft computing methods and techniques have been investigated for their ability to address various applications in HFE effectively. These techniques include fuzzy logic, artificial neural networks, genetic algorithms, and their combinations.

Nonlinear dynamics of EEG responses to unmanned vehicle visual detection with different levels of task difficulty.

The main objective of this study was to examine the presence of chaos in the EEG recordings of brain activity under simulated unmanned ground vehicle visual detection scenarios with different levels of task difficulty. One hundred and fifty people participated in the experiment and completed four visual detection task scenarios: (1) change detection, (2) a threat detection task, (3) a dual-task with different change detection task rates, and (4) a dual-task with different threat detection task rates. We used the largest Lyapunov exponent and correlation dimension of the EEG data and performed 0-1 tests on the EEG data.

Selection of suitable distance education platforms based on human-computer interaction criteria under fuzzy environment.

The rapid spread of the COVID-19 pandemic has affected not only the health industry but also the education sector. E-learning systems have recently become a compulsory part of all education institutions, including schools, colleges, and universities worldwide because of the COVID-19 pandemic crisis. The objectives of the current study were twofold: (1) to conduct an analytical approach for ranking of distance education platforms based on human-computer interaction criteria and (2) to identify the most appropriate distance learning platform for teaching and learning activities by using multi-criteria decision-making approaches.

A Cross-Sectional Study of the Relationships between Work-Related Affective Feelings Expressed by Workers in Turkey.

Understanding employees' feelings at work plays a significant role in developing practical and effective organizational and human resource management policies and practices. Furthermore, work-related emotions may have a considerable effect on workers' health and wellbeing and affect work effectiveness and work performance. The objectives of the current study were to investigate the relationships among four work-related (WOR) affective feelings (WORAF) and to validate the WORAF questionnaire in a Turkish sample.

Safety knowledge and safe practices at work: A study of Polish industrial enterprises.

Background: Knowledge management is a central resource in achieving the goals of occupational safety efforts.

Objective: The main objective of this study was to investigate the relationships between the implicit (tacit) and explicit (formal) safety knowledge of employees and their effects on employee propensity to follow safe practices at work.

Methods: A survey with seven safety constructs: 1) tacit safety knowledge, 2) explicit safety knowledge, 3) attitudes toward safety: psychological aspects, 4) attitudes toward safety: emotional aspects, 5) safety culture: behavioral aspects, 6) safety culture: psychological aspects, and 7) propensity to follow safety regulations and safe work practices (safety at work), was designed and used for data collection.

Assessment of the perceived safety culture in the petrochemical industry in Japan: A cross-sectional study.

This study assessed the perceived safety culture among five petrochemical production companies in Japan. Current effects of the perceived safety culture on employee safety motivation and performance were also examined. A total of 883 workers from the five petrochemical companies, which were located in the Chugoku region of Japan, provided valid responses to the survey distributed by email.

The relationships between the use of smart mobile technology, safety knowledge and propensity to follow safe practices at work.

The main objective of this study was to investigate the relationships between the use of smart technology (mobile phones) and the implicit (tacit) and explicit safety knowledge of employees and their propensity to follow safe practices at work. A survey was performed with seven constructs: (a) use of mobile technology; (b) tacit safety knowledge; (c) explicit safety knowledge of unsafe behaviors; (d) attitudes toward safety: emotional aspects; (e) safety culture: behavioral and psychological aspects of work; (f) safety culture: aspects of work; (g) safety culture: regulations at work. Workers from three manufacturing companies located in southeastern Poland completed a paper-based survey.

Ergonomic assessment of airport shuttle driver tasks using an ergonomic analysis toolset.

This study aimed to (a) evaluate strength requirements and lower back stresses during lifting and baggage handling tasks with the 3D Static Strength Prediction Program (3DSSPP) and (b) provide additional analyses using rapid entire body assessment (REBA) and the NASA task load index (TLX) to assess the risks associated with the tasks. Four healthy female shuttle drivers of good health aged between 55 and 60 years were observed and interviewed in an effort to determine the tasks required of their occupations. The results indicated that lifting bags and placing them in a shuttle were high risk for injury and possible changes should be further investigated.