Construction safety training via e-Learning: Learning effectiveness and user satisfaction

In Taiwan, promoting knowledge of “Labor Safety” which relates to life and work right is very important. Safety training and learning effectiveness become essential issues of adult learning. To reduce the costs of educational training, enterprises have also started to aggressively introduce e-learning education training. Unlike the construction industry, few studies have investigated the effectiveness of e-learning and conventional learning. This study tested the effectiveness of the safety education to prevent falls by different learning modes used to assess safety behavior and learning effectiveness during the education training period. According to the average pass rate, satisfaction degree of course and total number of unsafe behavior, the e-learning mode improves learning effectiveness. Additionally, when the e-learning mode is introduced in the construction safety education training, the labor can use the teaching material more independently and multimedia system, such as animated teaching materials, case teaching, and repeated course learning, to reduce the error rate of operation, property loss rate, and light (heavy) injury. Under this condition, the e-learning mode is positively associated with the learning effectiveness of construction safety education training. High learning effectiveness promotes safe behavior during construction operations.     

Effects of sign characteristics and training methods on safety sign training effectiveness

This study investigated whether or not training methods affected the effectiveness of symbol training and if there were any relationships between sign symbol characteristics and training effectiveness. Altogether, 26 Mainland China industrial safety signs were used and 60 participants were randomly assigned into four equal-sized groups of control, paired-associate learning, recall training and recognition training. The result was that participants from all the training groups showed significantly greater improvement in comprehension performance than those in the control group, indicating that the training methods improved comprehension of the meaning of safety signs. Participants from the recall training group performed better in the post-training test than those from other training groups. It seems that the recall task elicited a deeper level of learning than the recognition task and that questioning and feedback had a positive effect on training effectiveness. The results also showed that sign characteristics had no significant influence on training effectiveness. It was concluded that recall training is more effective in enhancing comprehension of industrial safety signs than paired-associate learning or recognition training. The findings of this study provide a basis for useful guidelines for designing symbol-training programmes and for designing more user-friendly safety signs.

Statement of Relevance: The present study shows that recall training was more effective in improving comprehension of industrial safety signs than paired-associate learning or recognition training and cognitive sign features did not influence training effectiveness. They provide a basis for useful guidelines for designing symbol-training programmes and for designing more user-friendly safety signs.     

Natural language processing for aviation safety reports: From classification to interactive analysis

In this paper we describe the different NLP techniques designed and used in collaboration between the CLLE-ERSS research laboratory and the CFH/Safety Data company to manage and analyse aviation incident reports. These reports are written every time anything abnormal occurs during a civil air flight. Although most of them relate routine problems, they are a valuable source of information about possible sources of greater danger. These texts are written in plain language, show a wide range of linguistic variation (telegraphic style overcrowded by acronyms or standard prose) and exist in different languages, even for a single company/country (although our main focus is on English and French). In addition to their variety, their sheer quantity (e.g. 600/month for a large airline company) clearly requires the use of advanced NLP and text mining techniques in order to extract useful information from them. Although this context and objectives seem to indicate that standard NLP techniques can be applied in a straightforward manner, innovative techniques are required to handle the specifics of aviation report text and the complex classification systems. We present several tools that aim at a better access to this data (classification and information retrieval), and help aviation safety experts in their analyses (data/text mining and interactive analysis).Some of these tools are currently in test or in use both at the national and international levels, by airline companies as well as by regulation authorities (DGAC,¹ EASA,² ICAO³).     

A methodology to quantitatively evaluate the safety of a glazing robot

A new construction method using robots is spreading widely among construction sites in order to overcome labour shortages and frequent construction accidents. Along with economical efficiency, safety is a very important factor for evaluating the use of construction robots in construction sites. However, the quantitative evaluation of safety is difficult compared with that of economical efficiency. In this study, we suggested a safety evaluation methodology by defining the ‘worker’ and ‘work conditions’ as two risk factors, defining the ‘worker’ factor as posture load and the ‘work conditions’ factor as the work environment and the risk exposure time. The posture load evaluation reflects the risk of musculoskeletal disorders which can be caused by work posture and the risk of accidents which can be caused by reduced concentration. We evaluated the risk factors that may cause various accidents such as falling, colliding, capsizing, and squeezing in work environments, and evaluated the operational risk by considering worker exposure time to risky work environments. With the results of the evaluations for each factor, we calculated the general operational risk and deduced the improvement ratio in operational safety by introducing a construction robot. To verify these results, we compared the safety of the existing human manual labour and the proposed robotic labour construction methods for manipulating large glass panels.     

Appropriate media choice for e-learning effectiveness: Role of learning domain and learning style

As the number of online education and training programs increase, researchers and practitioners are interested in investigating ways to design and develop effective e-learning programs. One of the major design decisions that affects learning effectiveness is the choice of media to present the contents of such programs. The prevailing tendency seems to be to use “richer” medium, in the progression from text to graphics to audio to video, for designing and developing e-learning programs. It is not clear, however, if a “richer” medium provides proportionately higher learning effectiveness. To investigate this gap in our understanding, we developed an integrated research model and tested it empirically. Our results showed that the relationship between media choice in an e-learning program and the effectiveness of that program is moderated by the learning domain of the program and the learning styles of learners.     

Differences between inexperienced and experienced safety supervisors in identifying construction hazards: Seeking insights for training the inexperienced

The hazard identification ability of frontline safety supervisors is essential to ensure site safety. As experience can benefit the identification performance, this study investigates the gaps between inexperienced and experienced safety supervisors. Thirty-five experienced safety supervisors and 35 novices were invited to identify hazards in 18 virtual construction sites created by 360-degree panoramas. Their identification results, attention allocation, and adopted scanpaths during the identification process were compared. It is found that the experienced significantly spent more fixation time, had more fixations, and gave a larger proportion of attention to hazardous areas. In contrast, the inexperienced had no idea about where might exist hazards in a scenario. They missed hazards due to ignoring the hazardous areas. Besides, it was hard for the inexperienced to recognize hazards requiring in-depth knowledge of safety regulations. They significantly identified fewer hazards except for the relatively obvious hazards: improper use of PPE and struck-by hazards. The scanpaths were more consistent among the experienced. They observed the scene sequentially, without consciously adopting any specific searching patterns from which the novices could learn. Therefore, it is suggested to train the inexperienced to be aware of hazardous areas in workplaces in addition to educating them on safety norms; and provide them chances to practice hazard identification to retain their learned knowledge. The findings reveal the gaps between inexperienced and experienced safety supervisors, providing insights for training the inexperienced and thus helping ensure the job site safety.     

The impact of self-efficacy and perceived system efficacy on effectiveness of virtual training systems

This study developed and tested a research model which examined the impact of user perceptions of self-efficacy (SE) and virtual environment (VE) efficacy on the effectiveness of VE training systems. The model distinguishes between the perceptions of one's own capability to perform trained tasks effectively and the perceptions of system performance, regarding the established parameters from literature. Specifically, the model posits that user perceptions will have positive effects on task performance and memory. Seventy-six adults participated in a VE in a controlled experiment, designed to empirically test the model. Each participant performed a series of object assembly tasks. The task involved selecting, rotating, releasing, inserting and manipulating 3D objects. Initially, the results of factor analysis demonstrated dimensionality of two user perception measures and produced a set of empirical validated factors underlining the VE efficacy. The results of regression analysis revealed that SE had a significant positive effect on perceived VE efficacy. No significant effects were found of perceptions on performance and memory. Furthermore, the study provided insights into the relationships between the perception measures and performance measures for assessing the efficacy of VE training systems. The study also addressed how well users learn, perform, adapt to and perceive the VE training, which provides valuable insight into the system efficacy. Research and practical implications are presented at the end of the paper.     

Summary and prospects: occupational health and safety

Abstract

This summary covers three conference sessions on occupational health and safety, of which six papers are included in this issue of Ergonomics. Based on these sessions we will comment on the role of ergonomics programmes in occupational health and safety in industry. The summary is divided into the following topics: goal, international aspects, epidemiology, team consideration, problem analysis, development of solutions, implementation and evaluation.     

Evaluating the attitudes of different trainee groups towards eye tracking enhanced safety training methods

The primary approach to prevent injuries and fatalities on construction sites is to provide effective safety training to all site personnel. In order to develop an effective safety training method, it is critical to consider the attitudes of participants towards the training received. In this regard, the eye movements of three groups of trainees during both a conventional safety training method and a Virtual Reality (VR)-based training method were monitored. The eye-tracking data from five engineers, five workers, and five engineering students were collected to measure their time to first fixation and fixation durations of the three groups of AOIs (Areas of Interests). Accordingly, we identified their reaction to the training stimulus and measured their concentration and adaptation level. The data were analyzed using Mixed ANOVA with the between-subject variable of three different trainee groups and the within-subject variable of training types. The statistical findings showed that the engineers concentrate faster than the workers and the students during all sessions of safety training, and all participants spend more time exploring different AOIs during VR-based safety training. Therefore, it is concluded that the different backgrounds of study groups (e.g., field experience, site role, game experience, and education) play a crucial role in the adaptation and concentration level of the trainees during safety training sessions.     

Crossing safety barriers: influence of children's morphological and functional variables

Thirty-three children between 3 and 6 years of age were asked to climb four different types of safety barriers. Morphological and functional variables of the children, which were expected to influence climbing or passing through skills, were collected. The influence of those variables on children’s success rate and time to cross was tested. No barrier offered a total restraining efficacy. The horizontal bars barrier was crossed by 97% of the children. In the group of children that succeeded in crossing the four barriers, mean time to cross the most difficult barrier was 15 s. Age was the best predictor for success in crossing most barriers but morphology and strength were important predictors of time to cross. The influence of anthropometric variables in time to cross was dependent upon the characteristics of the barrier. A good design of safety barriers should consider children’s age, morphology and strength.     

Evidence management for compliance of critical systems with safety standards: A survey on the state of practice

ContextDemonstrating compliance of critical systems with safety standards involves providing convincing evidence that the requirements of a standard are adequately met. For large systems, practitioners need to be able to effectively collect, structure, and assess substantial quantities of evidence.ObjectiveThis paper aims to provide insights into how practitioners deal with safety evidence management for critical computer-based systems. The information currently available about how this activity is performed in the industry is very limited.MethodWe conducted a survey to determine practitioners’ perspectives and practices on safety evidence management. A total of 52 practitioners from 15 countries and 11 application domains responded to the survey. The respondents indicated the types of information used as safety evidence, how evidence is structured and assessed, how evidence evolution is addressed, and what challenges are faced in relation to provision of safety evidence.ResultsOur results indicate that (1) V&V artefacts, requirements specifications, and design specifications are the most frequently used safety evidence types, (2) evidence completeness checking and impact analysis are mostly performed manually at the moment, (3) text-based techniques are used more frequently than graphical notations for evidence structuring, (4) checklists and expert judgement are frequently used for evidence assessment, and (5) significant research effort has been spent on techniques that have seen little adoption in the industry. The main contributions of the survey are to provide an overall and up-to-date understanding of how the industry addresses safety evidence management, and to identify gaps in the state of the art.ConclusionWe conclude that (1) V&V plays a major role in safety assurance, (2) the industry will clearly benefit from more tool support for collecting and manipulating safety evidence, and (3) future research on safety evidence management needs to place more emphasis on industrial applications.     

A path analysis model of individual variables predicting safety behavior and human error: The mediating effect of situation awareness

Situation awareness is often argued to be an indicator of safety performance. Several factors may influence situation awareness that need to be identified and analyzed. This study investigated the influence of some variables on safety performance and examined the mediating effect of situation awareness. This study was conducted on 601 workers of different industries in Iran. All variables were measured via a multi-sectional questionnaire in a self-report manner. Path analysis modeling was used for data analysis. To measure the validity of the model, the RMSEA, CFI, and R² coefficients were employed. The results revealed that safety knowledge and sleepiness had significant direct and indirect effects on safety behavior and human error. Fatigue had only a mediating effect on safety behavior and error via situation awareness. Safety locus of control had only a mediating effect on human error through situation awareness. Whereas better safety knowledge and an internal safety locus of control could boost siaituation awareness, daily sleepiness and fatigue had significant, detrimental effects on situation awareness. These variables explained 38% of the variations in situation awareness. A proportion of the effect of personal variables on safety behavior and human error was mediated by situation awareness; thus, situation awareness is the direct cause of some safe behaviors and human errors.     

Simplicity in Eulerian circuits: Uniqueness and safety

An Eulerian circuit in a directed graph is one of the most fundamental Graph Theory notions. Detecting if a graph G has a unique Eulerian circuit can be done in polynomial time via the BEST theorem by de Bruijn, van Aardenne-Ehrenfest, Smith and Tutte (1941–1951) [15], [16] (involving counting arborescences), or via a tailored characterization by Pevzner, 1989 (involving computing the intersection graph of simple cycles of G), both of which thus rely on overly complex notions for the simpler uniqueness problem.In this paper we give a new linear-time checkable characterization of directed graphs with a unique Eulerian circuit. This is based on a simple condition of when two edges must appear consecutively in all Eulerian circuits, in terms of cut nodes of the underlying undirected graph of G. As a by-product, we can also compute in linear-time all maximal safe walks appearing in all Eulerian circuits, for which Nagarajan and Pop proposed in 2009 [12] a polynomial-time algorithm based on Pevzner characterization.     

Establishment-level occupational safety analytics: Challenges and opportunities

In occupational safety and health, big data and analytics show promise for the prediction and prevention of workplace injuries. Advances in computing power and analytical methods have allowed companies to reveal insights from the “big” data that previously would have gone undetected. Despite the promise, occupational safety has lagged behind other industries, such as supply chain management and healthcare, in terms of exploiting the potential of analytics and much of the data collected by organizations goes unanalyzed. The purpose of the present paper is to argue for the broader application of establishment-level safety analytics. This is accomplished by defining the terms, describing previous research, outlining the necessary components required, and describing knowledge gaps and future directions. The knowledge gaps and future directions for research in establishment-level analytics are categorized into readiness for analytics, analytics methods, technology integration, data culture, and impact of analytics.     

A safety shell for UML-RT projects structure and methods of the corresponding UML pattern

A safety shell pattern was defined based on a re-configuration management pattern and inspired by the architectural specifications in Specification PEARL. It is meant to be used for real-time applications to be developed with UML-RT as described. The implementation of the safety shell features as defined in Kornecki and Zalewski (Software Development for Real-Time Safety—Critical Applications. Software Engineering Workshop—Tutorial Notes, 29th Annual IEEE/NASA 03, pp 1–95, 2005), namely, its timing and state guards as well as I/O protection and exception handling mechanisms, is explained. The pattern is parameterised by defining the properties of its components as well as by defining the mapping between software and hardware architectures. Initial and alternative execution scenarios as well as the method for switching between them are defined. The goal pursued with the safety shell is to obtain clearly specified operation scenarios with well-defined transitions between them. To achieve safe and timely operation, the pattern must provide safety shell mechanisms for an application designed, i.e., enable its predictable deterministic and temporally predictable operation now and in the future.     

The impact of learning design on student behaviour,satisfaction and performance: A cross-institutional comparison across 151 modules

Pedagogically informed designs of learning are increasingly of interest to researchers in blended and online learning, as learning design is shown to have an impact on student behaviour and outcomes. Although learning design is widely studied, often these studies are individual courses or programmes and few empirical studies have connected learning designs of a substantial number of courses with learning behaviour. In this study we linked 151 modules and 111.256 students with students' behaviour (<400 million minutes of online behaviour), satisfaction and performance at the Open University UK using multiple regression models. Our findings strongly indicate the importance of learning design in predicting and understanding Virtual Learning Environment behaviour and performance of students in blended and online environments. In line with proponents of social learning theories, our primary predictor for academic retention was the time learners spent on communication activities, controlling for various institutional and disciplinary factors. Where possible, appropriate and well designed communication tasks that align with the learning objectives of the course may be a way forward to enhance academic retention.     

Why we talk?: altruism and multilevel selection in the origin of language

Talking entails costs of production and time, although some of the information sent to hearers will be of value to them in general. We believe that the matter of why we talk at all is a key question for the origin of language, and the answer will shed some light on the mystery of human identity. This article focuses on altruism in communication, and aims to demonstrate evolutionary scenarios based on multilevel selection. We constructed a computational model to examine these scenarios. The evolutionary experiments showed that in the case of an unstructured population, a linguistic system hardly emerged due to the dynamics between interpretable utterance that imposes a penalty and correct interpretation that yields a reward, which is similar to prey-predator dynamics. However, in the case of a multigroup population, a linguistic system emerged owing to multilevel selection among the groups. In addition, the probability of success in conversation was higher in a group in more severe environmental conditions. This result supports Bickerton’s hypothesis based on the ecological gap between human ancestors and other ape species.     

Mediating team effectiveness in the context of collaborative learning: The importance of team and task awareness

Learning teams in higher education executing a collaborative assignment are not always effective. To remedy this, there is a need to determine and understand the variables that influence team effectiveness. This study aimed at developing a conceptual framework, based on research in various contexts on team effectiveness and specifically team and task awareness. Core aspects of the framework were tested to establish its value for future experiments on influencing team effectiveness. Results confirmed the importance of shared mental models, and to some extent mutual performance monitoring for learning teams to become effective, but also of interpersonal trust as being conditional for building adequate shared mental models. Apart from the importance of team and task awareness for team effectiveness it showed that learning teams in higher education tend to be pragmatic by focusing primarily on task aspects of performance and not team aspects. Further steps have to be taken to validate this conceptual framework on team effectiveness.