{"title":"How much workload is a ‘good’ workload for human beings to meet the deadline: human capacity zone and workload equilibrium","authors":"Mengting Zhao, D. Qiu, Yong Zeng","doi":"10.1080/09544828.2023.2249216","DOIUrl":null,"url":null,"abstract":"When given a ‘good’ workload, human participants can efficiently complete the assigned task within the time limit, while they may fail to complete it due to low efficiency when given a ‘bad’ workload. The objective of this research is to investigate how much workload is considered ‘good’ for individuals to meet a deadline and successfully complete the assigned task. High work efficiency can be achieved by manipulating workload assignments and assigning them to different individuals at the appropriate time. We have defined the range of this ‘good’ workload as the capacity zone, which should be supported by necessary interventions from computers or human instructors. The capacity zone represents the area between the two workload equilibrium points, whose position and shape are influenced by factors such as mental capacity, maximum efficiency, and stress limit. Our analysis and simulation results indicate that humans are only capable of effectively completing a large amount of workload assignment by the deadline when working within their capacity zone. Therefore, this research aims to enhance overall work efficiency by customising workload allocation strategies based on different individuals' capacity zone and providing timely intervention when they are working beyond their capacity zone.","PeriodicalId":50207,"journal":{"name":"Journal of Engineering Design","volume":"34 1","pages":"644 - 673"},"PeriodicalIF":2.5000,"publicationDate":"2023-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Engineering Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/09544828.2023.2249216","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
When given a ‘good’ workload, human participants can efficiently complete the assigned task within the time limit, while they may fail to complete it due to low efficiency when given a ‘bad’ workload. The objective of this research is to investigate how much workload is considered ‘good’ for individuals to meet a deadline and successfully complete the assigned task. High work efficiency can be achieved by manipulating workload assignments and assigning them to different individuals at the appropriate time. We have defined the range of this ‘good’ workload as the capacity zone, which should be supported by necessary interventions from computers or human instructors. The capacity zone represents the area between the two workload equilibrium points, whose position and shape are influenced by factors such as mental capacity, maximum efficiency, and stress limit. Our analysis and simulation results indicate that humans are only capable of effectively completing a large amount of workload assignment by the deadline when working within their capacity zone. Therefore, this research aims to enhance overall work efficiency by customising workload allocation strategies based on different individuals' capacity zone and providing timely intervention when they are working beyond their capacity zone.
期刊介绍:
The Journal of Engineering Design is a leading international publication that provides an essential forum for dialogue on important issues across all disciplines and aspects of the design of engineered products and systems. The Journal publishes pioneering, contemporary, best industrial practice as well as authoritative research, studies and review papers on the underlying principles of design, its management, practice, techniques and methodologies, rather than specific domain applications.
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