{"title":"Investigating Safety Awareness in Assembly Operations <i>via</i> Mixed Reality Technology.","authors":"Israa Azzam, Souvik Das, Gaurav Nanda, Jose Garcia Bravo, Farid Breidi","doi":"10.1080/24725838.2024.2431112","DOIUrl":null,"url":null,"abstract":"<p><p>OCCUPATIONAL APPLICATIONSWe investigated the impact of using Mixed Reality (MR) technology as a training tool to help trainees identify safety risks during machine assembly tasks, by analyzing their task completion efficiency and safety risk estimation capabilities. As proof-of-concept, an interactive MR module on hydraulic gripper assembly was designed and incorporated in fluid power laboratories to be tested with mechanical engineering technology students. The developed MR environment was evaluated using accident causation models. An environment analysis revealed smooth operation and minimal challenges. Incorporating interactive MR modules into training programs allows practitioners to provide trainees with hands-on experience in a simulated environment while identifying potential safety risks. Addressing limitations, such as simulating physical feedback more accurately, will be crucial for optimizing future safety training effectiveness using MR technology.</p>","PeriodicalId":73332,"journal":{"name":"IISE transactions on occupational ergonomics and human factors","volume":" ","pages":"1-17"},"PeriodicalIF":0.0000,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IISE transactions on occupational ergonomics and human factors","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/24725838.2024.2431112","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
OCCUPATIONAL APPLICATIONSWe investigated the impact of using Mixed Reality (MR) technology as a training tool to help trainees identify safety risks during machine assembly tasks, by analyzing their task completion efficiency and safety risk estimation capabilities. As proof-of-concept, an interactive MR module on hydraulic gripper assembly was designed and incorporated in fluid power laboratories to be tested with mechanical engineering technology students. The developed MR environment was evaluated using accident causation models. An environment analysis revealed smooth operation and minimal challenges. Incorporating interactive MR modules into training programs allows practitioners to provide trainees with hands-on experience in a simulated environment while identifying potential safety risks. Addressing limitations, such as simulating physical feedback more accurately, will be crucial for optimizing future safety training effectiveness using MR technology.
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