Fabio A. Storm, Mattia Chiappini, Carla Dei, Caterina Piazza, Elisabeth André, Nadine Reißner, Ingrid Brdar, Antonella Delle Fave, Patrick Gebhard, Matteo Malosio, Alberto Peña Fernández, Snježana Štefok, Gianluigi Reni
{"title":"Physical and mental well-being of cobot workers: A scoping review using the Software-Hardware-Environment-Liveware-Liveware-Organization model","authors":"Fabio A. Storm, Mattia Chiappini, Carla Dei, Caterina Piazza, Elisabeth André, Nadine Reißner, Ingrid Brdar, Antonella Delle Fave, Patrick Gebhard, Matteo Malosio, Alberto Peña Fernández, Snježana Štefok, Gianluigi Reni","doi":"10.1002/hfm.20952","DOIUrl":null,"url":null,"abstract":"<p>The present scoping review investigated the current state of the art concerning factors affecting physical and mental health and well-being of workers using collaborative robots (cobots) in manufacturing industries. Each identified factor was classified using the SHELLO (Software-Hardware-Environment-Liveware-Liveware-Organization) conceptual model. Strengths and limitations of such an approach were outlined. A total of 53 papers were included in the scoping review and analyzed following PRISMA guidelines. In 35 papers at least one risk factor referred to the SHELLO Liveware-Hardware interaction, followed by factors concerning Liveware-Software (16 papers), Liveware-Liveware (11 papers), Liveware intrinsic factor (10 papers), Liveware-Organization (8 papers), and Liveware-Environment (8 papers). This work highlighted that methodological research is still primarily focused on traditional risk assessment and physical safety. However, several research directions concerning the design of cobots as active collaborators were identified, promoting workers' mental health and well-being, too. The SHELLO model proved to effectively highlight human factors relevant for the design of cobots and can provide a systemic approach to investigate human factors in other complex sociotechnical systems. To the best of our knowledge, this is the first time the model is applied in the field of human–cobot interaction.</p>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":null,"pages":null},"PeriodicalIF":2.2000,"publicationDate":"2022-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hfm.20952","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human Factors and Ergonomics in Manufacturing & Service Industries","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/hfm.20952","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, MANUFACTURING","Score":null,"Total":0}
引用次数: 7
Abstract
The present scoping review investigated the current state of the art concerning factors affecting physical and mental health and well-being of workers using collaborative robots (cobots) in manufacturing industries. Each identified factor was classified using the SHELLO (Software-Hardware-Environment-Liveware-Liveware-Organization) conceptual model. Strengths and limitations of such an approach were outlined. A total of 53 papers were included in the scoping review and analyzed following PRISMA guidelines. In 35 papers at least one risk factor referred to the SHELLO Liveware-Hardware interaction, followed by factors concerning Liveware-Software (16 papers), Liveware-Liveware (11 papers), Liveware intrinsic factor (10 papers), Liveware-Organization (8 papers), and Liveware-Environment (8 papers). This work highlighted that methodological research is still primarily focused on traditional risk assessment and physical safety. However, several research directions concerning the design of cobots as active collaborators were identified, promoting workers' mental health and well-being, too. The SHELLO model proved to effectively highlight human factors relevant for the design of cobots and can provide a systemic approach to investigate human factors in other complex sociotechnical systems. To the best of our knowledge, this is the first time the model is applied in the field of human–cobot interaction.
期刊介绍：
The purpose of Human Factors and Ergonomics in Manufacturing & Service Industries is to facilitate discovery, integration, and application of scientific knowledge about human aspects of manufacturing, and to provide a forum for worldwide dissemination of such knowledge for its application and benefit to manufacturing industries. The journal covers a broad spectrum of ergonomics and human factors issues with a focus on the design, operation and management of contemporary manufacturing systems, both in the shop floor and office environments, in the quest for manufacturing agility, i.e. enhancement and integration of human skills with hardware performance for improved market competitiveness, management of change, product and process quality, and human-system reliability. The inter- and cross-disciplinary nature of the journal allows for a wide scope of issues relevant to manufacturing system design and engineering, human resource management, social, organizational, safety, and health issues. Examples of specific subject areas of interest include: implementation of advanced manufacturing technology, human aspects of computer-aided design and engineering, work design, compensation and appraisal, selection training and education, labor-management relations, agile manufacturing and virtual companies, human factors in total quality management, prevention of work-related musculoskeletal disorders, ergonomics of workplace, equipment and tool design, ergonomics programs, guides and standards for industry, automation safety and robot systems, human skills development and knowledge enhancing technologies, reliability, and safety and worker health issues.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
