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

  • Jiapu Chai
  • , Yan Li*
  • *Corresponding author for this work
  • Beihang University

Research output: Contribution to journalReview articlepeer-review

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.

Original languageEnglish
Article number100340
JournalMedicine in Novel Technology and Devices
Volume24
DOIs
StatePublished - Dec 2024

Keywords

  • Artificial intelligence
  • Mental workload models
  • Multi-attribute task battery
  • Multiple physiological signals

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