Examining mental workload based on multiple physiological signals: Review of the multi-attribute task battery (MATB) technique

Jiapu Chai, Yan Li
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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.
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根据多种生理信号检查心理工作量:多属性任务电池(MATB)技术回顾
MATB(多属性任务电池)由美国国家航空航天局开发,模拟真实世界的任务需求和工作环境。它可以评估人类在高负荷、复杂任务环境下的认知和执行能力,以及任务转换和注意力分配的适应能力。本文回顾了 MATB 的主要应用和使用情况,探讨了与 MATB 有关的心理工作量研究,分析了实验程序设计、客观生理信号和模型构建。这些分析有助于全面了解如何利用 MATB 进行心理负荷实验,并改进实验设计。此外,它还为使用 MATB 进行认知负荷研究提出了更全面、更科学的实验程序。通过本综述,研究人员可以深入了解 MATB 作为评估心理工作量和优化各领域实验设计的工具的多功能性和潜力。
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来源期刊
Medicine in Novel Technology and Devices
Medicine in Novel Technology and Devices Medicine-Medicine (miscellaneous)
CiteScore
3.00
自引率
0.00%
发文量
74
审稿时长
64 days
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