Pub Date : 2022-08-08DOI: 10.1080/1463922X.2022.2107725
M. Mahdinia, I. Mohammadfam, Hamed Aghaei, M. Aliabadi, H. Fallah, A. Soltanzadeh
Abstract The present study aimed to create a Bayesian network (BN) model to manage and improve workers’ situation awareness. The 12 important variables affecting workers’ situation awareness were determined using the Fuzzy Delphi method and experts’ opinions. The data were collected using a self-administered questionnaire. The BN model was created using the Dempster-Shafer theory. The expectation-maximization algorithm was employed to determine the conditional probability tables. Belief updating was utilized to determine the variables with the strongest effects on situation awareness. Based on performance evaluation criteria of the BN model, the model performance was acceptable. Environmental distraction, safety knowledge, and fatigue were the best predictors of situation awareness. Furthermore, it was found that decreasing environmental distraction and work pressure, and improving safety knowledge were the best intervention strategies to improve workers’ situation awareness. Overall, we can conclude that the BN model is a powerful tool to create a causal model. Moreover, using belief updating as an exclusive characteristic of BN enables managers to select the best intervention strategies. The results of this study provide a basis for managers’ decision-making to improve employee safety performance in the workplaces and the proposed model can potentially be used for employee safety performance.
{"title":"Developing a Bayesian network model for improving chemical plant workers’ situation awareness","authors":"M. Mahdinia, I. Mohammadfam, Hamed Aghaei, M. Aliabadi, H. Fallah, A. Soltanzadeh","doi":"10.1080/1463922X.2022.2107725","DOIUrl":"https://doi.org/10.1080/1463922X.2022.2107725","url":null,"abstract":"Abstract The present study aimed to create a Bayesian network (BN) model to manage and improve workers’ situation awareness. The 12 important variables affecting workers’ situation awareness were determined using the Fuzzy Delphi method and experts’ opinions. The data were collected using a self-administered questionnaire. The BN model was created using the Dempster-Shafer theory. The expectation-maximization algorithm was employed to determine the conditional probability tables. Belief updating was utilized to determine the variables with the strongest effects on situation awareness. Based on performance evaluation criteria of the BN model, the model performance was acceptable. Environmental distraction, safety knowledge, and fatigue were the best predictors of situation awareness. Furthermore, it was found that decreasing environmental distraction and work pressure, and improving safety knowledge were the best intervention strategies to improve workers’ situation awareness. Overall, we can conclude that the BN model is a powerful tool to create a causal model. Moreover, using belief updating as an exclusive characteristic of BN enables managers to select the best intervention strategies. The results of this study provide a basis for managers’ decision-making to improve employee safety performance in the workplaces and the proposed model can potentially be used for employee safety performance.","PeriodicalId":22852,"journal":{"name":"Theoretical Issues in Ergonomics Science","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49529786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-27DOI: 10.1080/1463922X.2022.2103201
Guy Cohen-Lazry, A. Degani, T. Oron-Gilad, P. Hancock
Abstract Interaction with and dependency on intelligent autonomous systems, may bring about feelings such as discomfort or fear. Users’ willingness to accept new technologies can be hampered by unwanted emotions like discomfort, making the study of the onset of discomfort essential for future technology design and implementation. Interest in discomfort has been growing but agreed-upon definitions or models are still wanted. Here, we present a theoretical model of discomfort predicated upon existing models and definitions. Our model emphasizes internal mental processes that guide the formation of discomfort. Specifically, we specify how environmental stimuli are linked to personal needs and expectations, and how that gap between internal and external factors contributes to discomfort. We conclude with a practical example of how our model can apply to the design of autonomous vehicles.
{"title":"Discomfort: an assessment and a model","authors":"Guy Cohen-Lazry, A. Degani, T. Oron-Gilad, P. Hancock","doi":"10.1080/1463922X.2022.2103201","DOIUrl":"https://doi.org/10.1080/1463922X.2022.2103201","url":null,"abstract":"Abstract Interaction with and dependency on intelligent autonomous systems, may bring about feelings such as discomfort or fear. Users’ willingness to accept new technologies can be hampered by unwanted emotions like discomfort, making the study of the onset of discomfort essential for future technology design and implementation. Interest in discomfort has been growing but agreed-upon definitions or models are still wanted. Here, we present a theoretical model of discomfort predicated upon existing models and definitions. Our model emphasizes internal mental processes that guide the formation of discomfort. Specifically, we specify how environmental stimuli are linked to personal needs and expectations, and how that gap between internal and external factors contributes to discomfort. We conclude with a practical example of how our model can apply to the design of autonomous vehicles.","PeriodicalId":22852,"journal":{"name":"Theoretical Issues in Ergonomics Science","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45553689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-23DOI: 10.1080/1463922X.2022.2099033
S. Datta, Satyajit Chakrabarti
Abstract The main goal of this article is to develop and propose a novel ABSA method using enhanced ensemble learning (EEL) with optimal feature selection. Initially, the data from multiple applications is gathered and subjected to the preprocessing by ‘stop word removal and punctuation removal, lower case conversion and stemming’. Then, the aspect extraction is done by separating ‘noun and adjective and verb and adverb combination’. From this, the ‘Vader sentiment intensity analyzer’ is used to capture the weighted polarity feature, and then, the word2vector and ‘term frequency-inverse document frequency’ are extracted as features. The optimal feature selection using best and worst fitness-based galactic swarm optimization (BWF-GSO) is used for selecting the most significant features. With these features, ensemble learning with different classifiers like ‘recurrent neural network, support vector machine and deep belief network’ performs for handling the sentiment analysis with parameter optimization. The suggested models are helpful and generate better than the existing outcomes, according to experimental data. Through the performance analysis, the accuracy of BWF-GSO-EEL was 1.16%, 1.58%, 2.01% and 1.37% better than FF-MVO-EEL, FF-EEL, MVO-EEL and PSO-EEL, respectively. Thus, the promising performance has been observed while comparing with other algorithms.
{"title":"Enhanced ensemble learning for aspect-based sentiment analysis on multiple application oriented datasets","authors":"S. Datta, Satyajit Chakrabarti","doi":"10.1080/1463922X.2022.2099033","DOIUrl":"https://doi.org/10.1080/1463922X.2022.2099033","url":null,"abstract":"Abstract The main goal of this article is to develop and propose a novel ABSA method using enhanced ensemble learning (EEL) with optimal feature selection. Initially, the data from multiple applications is gathered and subjected to the preprocessing by ‘stop word removal and punctuation removal, lower case conversion and stemming’. Then, the aspect extraction is done by separating ‘noun and adjective and verb and adverb combination’. From this, the ‘Vader sentiment intensity analyzer’ is used to capture the weighted polarity feature, and then, the word2vector and ‘term frequency-inverse document frequency’ are extracted as features. The optimal feature selection using best and worst fitness-based galactic swarm optimization (BWF-GSO) is used for selecting the most significant features. With these features, ensemble learning with different classifiers like ‘recurrent neural network, support vector machine and deep belief network’ performs for handling the sentiment analysis with parameter optimization. The suggested models are helpful and generate better than the existing outcomes, according to experimental data. Through the performance analysis, the accuracy of BWF-GSO-EEL was 1.16%, 1.58%, 2.01% and 1.37% better than FF-MVO-EEL, FF-EEL, MVO-EEL and PSO-EEL, respectively. Thus, the promising performance has been observed while comparing with other algorithms.","PeriodicalId":22852,"journal":{"name":"Theoretical Issues in Ergonomics Science","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49597088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-07DOI: 10.1080/1463922X.2022.2095457
Vitor Rodrigues, Raoni Rocha
Abstract Participatory ergonomics relies on the involvement of people to constitute or improve their work environments. The present study aims to answer through a literature review how ergonomic interventions are performed in these environments. The research focussed on workspace design and processes related to participative ergonomics. The search in Scopus was performed for the period 2016 to 2020. From 200 articles, 28 were tabulated for content analysis encompassing the themes of ergonomic approach modes, use of intermediate objects and technological solutions adopted. The majority of the studies found were inserted in hospital, office and maritime/port environments. The results show that ergonomics approaches face diverse challenges: financial and time constraints, power asymmetries, experience levels, social, cultural and individual issues. Nevertheless, it sets out to develop skills, activities, competencies, and to organise these in a global and structured way. Further studies in a wide diversity of databases are needed to follow up the analysis of such approaches and conceptions of work activity. PRACTITIONER SUMMARY This study conducted a review of the literature on ergonomic approaches in a variety of workspaces, whether they are being transformed or designed. Attention was sought for commonalities of approaches that resulted in the topics regarding intermediate objects and the technological impact on recent ergonomic interventions. The main finding denotes a greater need to consolidate virtual and physical tools and methods and to investigate an intervention framework that is applicable to most interventions, in addition to responding to the major challenges pointed out by the articles.
{"title":"Participatory ergonomics approaches to design and intervention in workspaces: a literature review","authors":"Vitor Rodrigues, Raoni Rocha","doi":"10.1080/1463922X.2022.2095457","DOIUrl":"https://doi.org/10.1080/1463922X.2022.2095457","url":null,"abstract":"Abstract Participatory ergonomics relies on the involvement of people to constitute or improve their work environments. The present study aims to answer through a literature review how ergonomic interventions are performed in these environments. The research focussed on workspace design and processes related to participative ergonomics. The search in Scopus was performed for the period 2016 to 2020. From 200 articles, 28 were tabulated for content analysis encompassing the themes of ergonomic approach modes, use of intermediate objects and technological solutions adopted. The majority of the studies found were inserted in hospital, office and maritime/port environments. The results show that ergonomics approaches face diverse challenges: financial and time constraints, power asymmetries, experience levels, social, cultural and individual issues. Nevertheless, it sets out to develop skills, activities, competencies, and to organise these in a global and structured way. Further studies in a wide diversity of databases are needed to follow up the analysis of such approaches and conceptions of work activity. PRACTITIONER SUMMARY This study conducted a review of the literature on ergonomic approaches in a variety of workspaces, whether they are being transformed or designed. Attention was sought for commonalities of approaches that resulted in the topics regarding intermediate objects and the technological impact on recent ergonomic interventions. The main finding denotes a greater need to consolidate virtual and physical tools and methods and to investigate an intervention framework that is applicable to most interventions, in addition to responding to the major challenges pointed out by the articles.","PeriodicalId":22852,"journal":{"name":"Theoretical Issues in Ergonomics Science","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46220940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-07DOI: 10.1080/1463922X.2022.2095458
Nina R. Ferreri, C. Mayhorn
Abstract Individual differences in user responses to malfunctions with technology are of primary interest, as this influences how a product can be improved and has not been examined extensively. Previously, individual differences in responses to technology failures have been examined in self-reported studies, but not in an experimental design. The current study expanded the findings from previous research with a mixed factorial design. Seventy-two (N = 72) undergraduate students were recruited to participate in this online study. They were asked to complete a shopping task and complete a survey about their experience. To examine individual differences in responses to technology failures, several repeated measures ANOVAs, multiple regressions, and hierarchical regressions were conducted to assess the effects of expectation and malfunction on frustration and performance. Results revealed individuals with a greater tendency to be neurotic or extraverted also tended to be more frustrated by a technology malfunction. Additionally, openness was the strongest predictor of less frustration with technology failures, while extraversion was the strongest predictor of more frustration with technology failures.
{"title":"Identifying and understanding individual differences in frustration with technology","authors":"Nina R. Ferreri, C. Mayhorn","doi":"10.1080/1463922X.2022.2095458","DOIUrl":"https://doi.org/10.1080/1463922X.2022.2095458","url":null,"abstract":"Abstract Individual differences in user responses to malfunctions with technology are of primary interest, as this influences how a product can be improved and has not been examined extensively. Previously, individual differences in responses to technology failures have been examined in self-reported studies, but not in an experimental design. The current study expanded the findings from previous research with a mixed factorial design. Seventy-two (N = 72) undergraduate students were recruited to participate in this online study. They were asked to complete a shopping task and complete a survey about their experience. To examine individual differences in responses to technology failures, several repeated measures ANOVAs, multiple regressions, and hierarchical regressions were conducted to assess the effects of expectation and malfunction on frustration and performance. Results revealed individuals with a greater tendency to be neurotic or extraverted also tended to be more frustrated by a technology malfunction. Additionally, openness was the strongest predictor of less frustration with technology failures, while extraversion was the strongest predictor of more frustration with technology failures.","PeriodicalId":22852,"journal":{"name":"Theoretical Issues in Ergonomics Science","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43257423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-30DOI: 10.1080/1463922X.2022.2086645
Nikolay Alekseevich Korenevskiy, R. Al-kasasbeh, Fawaz Shawawreh, T. Ahram, S. Rodionova, Mahdi Salman, S. Filist, Manafaddin Namazov, A. Shaqadan, Maksim Ilyash
Abstract Prediction of cognitive dysfunctions in operators of human–machine systems is a complex process. The cognitive functions of attention and memory are negatively impacted in machine operation workers. Obtaining an accurate prediction of cognitive dysfunctions provides added value to better design machines and improve operator health. This research demonstrates a prediction model utilising hybrid fuzzy decision rules. The models use health indicators that measure energy imbalance of biologically active points, levels of psycho-emotional stress, fatigue and functional reserve (FR). We assess properties of attention as concentration, volume, selectivity, switchability, distribution and stability in operators of information-rich human–machine systems. Expert confidence in the obtained mathematical models exceeds the value of 0.85. The prediction quality was tested on representative control samples for the most vulnerable property of concentration of attention (CA) for this profession, and it was shown that such indicators of decision-making quality as diagnostic sensitivity, diagnostic specificity, diagnostic efficiency, predictive significance of positive and negative results exceed 0.85. The developed model proved useful for various applications in modern psychology, and psychophysiology assessment.
{"title":"Prediction of operators cognitive degradation and impairment using hybrid fuzzy modelling","authors":"Nikolay Alekseevich Korenevskiy, R. Al-kasasbeh, Fawaz Shawawreh, T. Ahram, S. Rodionova, Mahdi Salman, S. Filist, Manafaddin Namazov, A. Shaqadan, Maksim Ilyash","doi":"10.1080/1463922X.2022.2086645","DOIUrl":"https://doi.org/10.1080/1463922X.2022.2086645","url":null,"abstract":"Abstract Prediction of cognitive dysfunctions in operators of human–machine systems is a complex process. The cognitive functions of attention and memory are negatively impacted in machine operation workers. Obtaining an accurate prediction of cognitive dysfunctions provides added value to better design machines and improve operator health. This research demonstrates a prediction model utilising hybrid fuzzy decision rules. The models use health indicators that measure energy imbalance of biologically active points, levels of psycho-emotional stress, fatigue and functional reserve (FR). We assess properties of attention as concentration, volume, selectivity, switchability, distribution and stability in operators of information-rich human–machine systems. Expert confidence in the obtained mathematical models exceeds the value of 0.85. The prediction quality was tested on representative control samples for the most vulnerable property of concentration of attention (CA) for this profession, and it was shown that such indicators of decision-making quality as diagnostic sensitivity, diagnostic specificity, diagnostic efficiency, predictive significance of positive and negative results exceed 0.85. The developed model proved useful for various applications in modern psychology, and psychophysiology assessment.","PeriodicalId":22852,"journal":{"name":"Theoretical Issues in Ergonomics Science","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49634265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-27DOI: 10.1080/1463922X.2022.2090027
R. Kazemi, Andrew Smith
Abstract The present study, an expert review, aimed to discuss the emerging challenges of overcoming COVID-19 from the perspective of human factors and the importance of cognitive ergonomics in helping to cope with the epidemic. Identifying these challenges and the use of cognitive ergonomics to optimize human well-being and system performance can be effective in managing COVID-19. Generally, two main preventive approaches such as social distancing and patient care or treatment approaches are being utilized in response to COVID-19. In this paper, human factors challenges that could emerge from covid-19 preventive approaches were discussed. Social distancing forces presence and increases automated systems that lead to increases in cognitive needs, mental workload, stress, etc. Challenges of treatment and health care include the increased workload of healthcare personnel, stress, changing work systems and task allocation that led to fatigue and stress, threats to patient safety, and disruption of interpersonal interactions from a cognitive ergonomic perspective. It is concluded that the challenges of coping with COVID-19 were numerous and important from the perspective of human factors and the role of cognitive ergonomics is important in controlling the disease; hence, it should be taken into consideration.
{"title":"Overcoming COVID-19 pandemic: emerging challenges of human factors and the role of cognitive ergonomics","authors":"R. Kazemi, Andrew Smith","doi":"10.1080/1463922X.2022.2090027","DOIUrl":"https://doi.org/10.1080/1463922X.2022.2090027","url":null,"abstract":"Abstract The present study, an expert review, aimed to discuss the emerging challenges of overcoming COVID-19 from the perspective of human factors and the importance of cognitive ergonomics in helping to cope with the epidemic. Identifying these challenges and the use of cognitive ergonomics to optimize human well-being and system performance can be effective in managing COVID-19. Generally, two main preventive approaches such as social distancing and patient care or treatment approaches are being utilized in response to COVID-19. In this paper, human factors challenges that could emerge from covid-19 preventive approaches were discussed. Social distancing forces presence and increases automated systems that lead to increases in cognitive needs, mental workload, stress, etc. Challenges of treatment and health care include the increased workload of healthcare personnel, stress, changing work systems and task allocation that led to fatigue and stress, threats to patient safety, and disruption of interpersonal interactions from a cognitive ergonomic perspective. It is concluded that the challenges of coping with COVID-19 were numerous and important from the perspective of human factors and the role of cognitive ergonomics is important in controlling the disease; hence, it should be taken into consideration.","PeriodicalId":22852,"journal":{"name":"Theoretical Issues in Ergonomics Science","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47934667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-25DOI: 10.1080/1463922X.2022.2086644
P. Bobko, Leanne M. Hirshfield, Lucca Eloy, Cara A. Spencer, Emily Doherty, Jack Driscoll, Hannah Obolsky
Abstract Given new technologies and algorithmic capabilities, human-agent teaming (HAT) is expected to dominate environments where complex problems are solved by heterogenous teams. In such teams, trust calibration is key; i.e. humans and agents working symbiotically, with humans trusting and relying on agents as appropriate. In this paper, we focus on understanding trust-calibration in HATs. We propose a theoretical framework of calibrated trust in HATs. Next, we provide a configurable testbed designed to investigate calibrated trust in HATs. To demonstrate the flexible testbed and our framework, we conduct a study investigating hypotheses about agent transparency and reliability. Results align with research to date, supporting the notion that transparency results in calibrated trust. Further, high transparency yielded more positive affect and lower workload than low transparency. We also found that increased agent reliability resulted in higher trust in the agent, as well as more positive valence. This suggests that participants experienced more engagement with the task when the agent was reliable and presumably trustworthy. We also build on our framework and testbed to outline a research agenda for the assessment of human trust dynamics in HATs and the development of subsequent real-time, intelligent adaptive systems.
{"title":"Human-agent teaming and trust calibration: a theoretical framework, configurable testbed, empirical illustration, and implications for the development of adaptive systems","authors":"P. Bobko, Leanne M. Hirshfield, Lucca Eloy, Cara A. Spencer, Emily Doherty, Jack Driscoll, Hannah Obolsky","doi":"10.1080/1463922X.2022.2086644","DOIUrl":"https://doi.org/10.1080/1463922X.2022.2086644","url":null,"abstract":"Abstract Given new technologies and algorithmic capabilities, human-agent teaming (HAT) is expected to dominate environments where complex problems are solved by heterogenous teams. In such teams, trust calibration is key; i.e. humans and agents working symbiotically, with humans trusting and relying on agents as appropriate. In this paper, we focus on understanding trust-calibration in HATs. We propose a theoretical framework of calibrated trust in HATs. Next, we provide a configurable testbed designed to investigate calibrated trust in HATs. To demonstrate the flexible testbed and our framework, we conduct a study investigating hypotheses about agent transparency and reliability. Results align with research to date, supporting the notion that transparency results in calibrated trust. Further, high transparency yielded more positive affect and lower workload than low transparency. We also found that increased agent reliability resulted in higher trust in the agent, as well as more positive valence. This suggests that participants experienced more engagement with the task when the agent was reliable and presumably trustworthy. We also build on our framework and testbed to outline a research agenda for the assessment of human trust dynamics in HATs and the development of subsequent real-time, intelligent adaptive systems.","PeriodicalId":22852,"journal":{"name":"Theoretical Issues in Ergonomics Science","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45296567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-24DOI: 10.1080/1463922X.2022.2090026
Adrielle Moraes Cazotti, T. Sato, R. S. Padula, C. Moriguchi
Abstract The Work Ability Index (WAI) evaluates how workers are at present and in the near future with respect to work demands, health, and mental resources. Since this questionnaire is time consuming, a single-item question (work ability score - WAS) has been used to replace the WAI. The aim of this study was to investigate the correlation between the work ability index (WAI) and WAS, adjusted by age, sex and occupation. Workers (N = 379) from different economic sectors answered a questionnaire addressing demographic information and the WAI. The data were analyzed using descriptive statistics, Spearman’s rank correlation coefficients and partial correlations. Moderate correlations were found between the WAI and WAS (rs=0,49). Stronger correlations were found between the WAI and other WAI Dimensions: Diagnosed Diseases, Work Demands and Work Loss (rs>0.60). The partial correlation results showed that the correlation between the WAI and WAS increased when adjusted by sex, age and occupation (r = 0.60), but remained lower than other coefficients. Therefore, we cannot recommend the use of WAS instead of the WAI for Brazilian workers according to the correlation found.
{"title":"Manuscript title: limited suitability for single item work ability to replace work ability index: a Brazilian cross-sectional study","authors":"Adrielle Moraes Cazotti, T. Sato, R. S. Padula, C. Moriguchi","doi":"10.1080/1463922X.2022.2090026","DOIUrl":"https://doi.org/10.1080/1463922X.2022.2090026","url":null,"abstract":"Abstract The Work Ability Index (WAI) evaluates how workers are at present and in the near future with respect to work demands, health, and mental resources. Since this questionnaire is time consuming, a single-item question (work ability score - WAS) has been used to replace the WAI. The aim of this study was to investigate the correlation between the work ability index (WAI) and WAS, adjusted by age, sex and occupation. Workers (N = 379) from different economic sectors answered a questionnaire addressing demographic information and the WAI. The data were analyzed using descriptive statistics, Spearman’s rank correlation coefficients and partial correlations. Moderate correlations were found between the WAI and WAS (rs=0,49). Stronger correlations were found between the WAI and other WAI Dimensions: Diagnosed Diseases, Work Demands and Work Loss (rs>0.60). The partial correlation results showed that the correlation between the WAI and WAS increased when adjusted by sex, age and occupation (r = 0.60), but remained lower than other coefficients. Therefore, we cannot recommend the use of WAS instead of the WAI for Brazilian workers according to the correlation found.","PeriodicalId":22852,"journal":{"name":"Theoretical Issues in Ergonomics Science","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44399596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-16DOI: 10.1080/1463922X.2022.2086643
Saeid Yazdanirad, G. Pourtaghi, M. Raei, M. Ghasemi
Abstract This study aimed to develop and validate a tool for the comprehensive risk assessment of musculoskeletal disorders (CRAMUD). In this cross-sectional study, 300 male workers participated. Data related to personal, psychosocial and physical items and musculoskeletal symptoms were gathered by a designed questionnaire and Cornell musculoskeletal discomfort questionnaire (CMDQ), respectively. Then, the effect coefficients of the items were computed for developing the CRAMUD equation. The total score of the CRAMUD tool was classified by receiver operator curves (ROCs), and it was validated by linear regression analysis. The values of the content validity ratio (CVR), content validity index (CVI) and Cronbach’s coefficient alpha (α) of the CRAMUD questionnaire with 38 items were calculated as 0.773, 0.934 and 0.940, respectively. The personal, psychosocial and physical items with the coefficients of 0.265, 0.175 and 0.478 had significant effects on the occurrence of musculoskeletal symptoms, respectively. The equation of the novel tool was written by these coefficients. The CRAMUD score was grouped into four levels by optimal cut-off points of 8.51, 11.03 and 15.31. This tool could predict 75% of variations of musculoskeletal symptoms. This tool can be exploited to accurately estimate the risk level of musculoskeletal symptoms in various jobs.
{"title":"Development and validation of a tool for the comprehensive risk assessment of musculoskeletal disorders (CRAMUD) among employees of a steel industry","authors":"Saeid Yazdanirad, G. Pourtaghi, M. Raei, M. Ghasemi","doi":"10.1080/1463922X.2022.2086643","DOIUrl":"https://doi.org/10.1080/1463922X.2022.2086643","url":null,"abstract":"Abstract This study aimed to develop and validate a tool for the comprehensive risk assessment of musculoskeletal disorders (CRAMUD). In this cross-sectional study, 300 male workers participated. Data related to personal, psychosocial and physical items and musculoskeletal symptoms were gathered by a designed questionnaire and Cornell musculoskeletal discomfort questionnaire (CMDQ), respectively. Then, the effect coefficients of the items were computed for developing the CRAMUD equation. The total score of the CRAMUD tool was classified by receiver operator curves (ROCs), and it was validated by linear regression analysis. The values of the content validity ratio (CVR), content validity index (CVI) and Cronbach’s coefficient alpha (α) of the CRAMUD questionnaire with 38 items were calculated as 0.773, 0.934 and 0.940, respectively. The personal, psychosocial and physical items with the coefficients of 0.265, 0.175 and 0.478 had significant effects on the occurrence of musculoskeletal symptoms, respectively. The equation of the novel tool was written by these coefficients. The CRAMUD score was grouped into four levels by optimal cut-off points of 8.51, 11.03 and 15.31. This tool could predict 75% of variations of musculoskeletal symptoms. This tool can be exploited to accurately estimate the risk level of musculoskeletal symptoms in various jobs.","PeriodicalId":22852,"journal":{"name":"Theoretical Issues in Ergonomics Science","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41848434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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