{"title":"Applicability of the TACOM measure as a tool to identify a high workload task in a proceduralized task environment","authors":"Jinkyun Park , Per Øivind Braarud","doi":"10.1016/j.ress.2025.111685","DOIUrl":null,"url":null,"abstract":"<div><div>One of the important requirements to ensure the sustainability of socio-technical systems such as nuclear power plants is to operate them as safely as possible. To this end, it is indispensable to identify and manage the critical factors that can affect their operational safety. As historical events strongly support the significance of human performance degradations (e.g., human errors) on the operational safety of socio-technical systems, the specification of tasks with the potential to result in high workload conditions is crucial for preventing the degradation of human performance. In this study, based on the TACOM (Task Complexity) measure, a novel framework is proposed with two distinctive rules that enables the identification of tasks that could give a high workload to human operators. In order to investigate the applicability of the proposed framework, a case study is carried out using performance data of human operators collected from a large-scale simulation study. As a result, in cases where operators have to accomplish required tasks described in a procedure (i.e., a proceduralized task environment), it seems to be positive to conclude that the proposed framework can be soundly used for identifying high workload tasks.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"266 ","pages":"Article 111685"},"PeriodicalIF":11.0000,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Reliability Engineering & System Safety","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0951832025008853","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
引用次数: 0
Abstract
One of the important requirements to ensure the sustainability of socio-technical systems such as nuclear power plants is to operate them as safely as possible. To this end, it is indispensable to identify and manage the critical factors that can affect their operational safety. As historical events strongly support the significance of human performance degradations (e.g., human errors) on the operational safety of socio-technical systems, the specification of tasks with the potential to result in high workload conditions is crucial for preventing the degradation of human performance. In this study, based on the TACOM (Task Complexity) measure, a novel framework is proposed with two distinctive rules that enables the identification of tasks that could give a high workload to human operators. In order to investigate the applicability of the proposed framework, a case study is carried out using performance data of human operators collected from a large-scale simulation study. As a result, in cases where operators have to accomplish required tasks described in a procedure (i.e., a proceduralized task environment), it seems to be positive to conclude that the proposed framework can be soundly used for identifying high workload tasks.
期刊介绍:
Elsevier publishes Reliability Engineering & System Safety in association with the European Safety and Reliability Association and the Safety Engineering and Risk Analysis Division. The international journal is devoted to developing and applying methods to enhance the safety and reliability of complex technological systems, like nuclear power plants, chemical plants, hazardous waste facilities, space systems, offshore and maritime systems, transportation systems, constructed infrastructure, and manufacturing plants. The journal normally publishes only articles that involve the analysis of substantive problems related to the reliability of complex systems or present techniques and/or theoretical results that have a discernable relationship to the solution of such problems. An important aim is to balance academic material and practical applications.