Dan Pan, Di Zhao, Youchen Pu, Liang Wang, Yijing Zhang
{"title":"在人机协作救援中使用交叉训练","authors":"Dan Pan, Di Zhao, Youchen Pu, Liang Wang, Yijing Zhang","doi":"10.1002/hfm.21025","DOIUrl":null,"url":null,"abstract":"<p>Human–robot collaboration has been widely used in postdisaster investigation and rescue. Human–robot team training is a good way to improve the team rescue efficiency and safety; two common training methods, namely, procedural training and cross-training, are explored in this study. Currently, relatively few studies have explored the impact of cross-training on human–robot collaboration in rescue tasks. Cross-training will be novel to most rescuers and as such, an evaluation of cross-training in comparison with more conventional procedural training is warranted. This study investigated the effects of these two training methods on rescue performance, situation awareness and workload. Forty-two participants completed a path-planning and a photo-taking task in an unfamiliar simulated postdisaster environment. The rescue performance results showed that cross-training method had significant advantages over procedural training for human–robot collaborative rescue tasks. During the training process, compared with procedural training, participants were more likely to achieve excellent photo-taking performance after cross-training; after training, the length of the route planned by the cross-training group was significantly shorter than that of the procedural-training group. In addition, procedural-training marginal significantly increased the emotion demand, which proves that cross-training can well control the emotions of the operators and make them more involved in the rescue task. The study also found that arousal level increased significantly after the first cross-training session, and decreased to the same level as procedural training after multiple sessions. These results contribute to the application of cross-training in human–robot collaborative rescue teams.</p>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":null,"pages":null},"PeriodicalIF":2.2000,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Use of cross-training in human–robot collaborative rescue\",\"authors\":\"Dan Pan, Di Zhao, Youchen Pu, Liang Wang, Yijing Zhang\",\"doi\":\"10.1002/hfm.21025\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Human–robot collaboration has been widely used in postdisaster investigation and rescue. Human–robot team training is a good way to improve the team rescue efficiency and safety; two common training methods, namely, procedural training and cross-training, are explored in this study. Currently, relatively few studies have explored the impact of cross-training on human–robot collaboration in rescue tasks. Cross-training will be novel to most rescuers and as such, an evaluation of cross-training in comparison with more conventional procedural training is warranted. This study investigated the effects of these two training methods on rescue performance, situation awareness and workload. Forty-two participants completed a path-planning and a photo-taking task in an unfamiliar simulated postdisaster environment. The rescue performance results showed that cross-training method had significant advantages over procedural training for human–robot collaborative rescue tasks. During the training process, compared with procedural training, participants were more likely to achieve excellent photo-taking performance after cross-training; after training, the length of the route planned by the cross-training group was significantly shorter than that of the procedural-training group. In addition, procedural-training marginal significantly increased the emotion demand, which proves that cross-training can well control the emotions of the operators and make them more involved in the rescue task. The study also found that arousal level increased significantly after the first cross-training session, and decreased to the same level as procedural training after multiple sessions. These results contribute to the application of cross-training in human–robot collaborative rescue teams.</p>\",\"PeriodicalId\":55048,\"journal\":{\"name\":\"Human Factors and Ergonomics in Manufacturing & Service Industries\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2024-02-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"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.21025\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human Factors and Ergonomics in Manufacturing & Service Industries","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/hfm.21025","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}
Use of cross-training in human–robot collaborative rescue
Human–robot collaboration has been widely used in postdisaster investigation and rescue. Human–robot team training is a good way to improve the team rescue efficiency and safety; two common training methods, namely, procedural training and cross-training, are explored in this study. Currently, relatively few studies have explored the impact of cross-training on human–robot collaboration in rescue tasks. Cross-training will be novel to most rescuers and as such, an evaluation of cross-training in comparison with more conventional procedural training is warranted. This study investigated the effects of these two training methods on rescue performance, situation awareness and workload. Forty-two participants completed a path-planning and a photo-taking task in an unfamiliar simulated postdisaster environment. The rescue performance results showed that cross-training method had significant advantages over procedural training for human–robot collaborative rescue tasks. During the training process, compared with procedural training, participants were more likely to achieve excellent photo-taking performance after cross-training; after training, the length of the route planned by the cross-training group was significantly shorter than that of the procedural-training group. In addition, procedural-training marginal significantly increased the emotion demand, which proves that cross-training can well control the emotions of the operators and make them more involved in the rescue task. The study also found that arousal level increased significantly after the first cross-training session, and decreased to the same level as procedural training after multiple sessions. These results contribute to the application of cross-training in human–robot collaborative rescue teams.
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.