{"title":"Examining mental workload based on multiple physiological signals: Review of the multi-attribute task battery (MATB) technique","authors":"Jiapu Chai, Yan Li","doi":"10.1016/j.medntd.2024.100340","DOIUrl":null,"url":null,"abstract":"<div><div>MATB (Multi-Attribute Task Battery), developed by NASA, simulates real-world task demands and work environments. It assesses human cognitive and executive abilities in high-load, complex task settings, as well as their adaptive capacity for task switching and attention allocation. This article reviews MATB's primary applications and usage, exploring mental workload-related research with MATB, analyzing experimental procedure design, objective physiological signals, and model construction. This analysis facilitates a comprehensive understanding of utilizing MATB for mental workload experiments and improving experimental design. Additionally, it proposes a more comprehensive and scientific experimental procedure for cognitive load research using MATB. Through this review, researchers gain insights into the versatility and potential of MATB as a tool for assessing mental workload and optimizing experimental design in various fields.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"24 ","pages":"Article 100340"},"PeriodicalIF":0.0000,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Medicine in Novel Technology and Devices","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590093524000560","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
MATB (Multi-Attribute Task Battery), developed by NASA, simulates real-world task demands and work environments. It assesses human cognitive and executive abilities in high-load, complex task settings, as well as their adaptive capacity for task switching and attention allocation. This article reviews MATB's primary applications and usage, exploring mental workload-related research with MATB, analyzing experimental procedure design, objective physiological signals, and model construction. This analysis facilitates a comprehensive understanding of utilizing MATB for mental workload experiments and improving experimental design. Additionally, it proposes a more comprehensive and scientific experimental procedure for cognitive load research using MATB. Through this review, researchers gain insights into the versatility and potential of MATB as a tool for assessing mental workload and optimizing experimental design in various fields.