A measure of mental workload during multitasking: Using performance-based Timed Petri Nets-Reference-Cited by-同舟云学术

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A measure of mental workload during multitasking: Using performance-based Timed Petri Nets

Published:2020-01 Issue: Volume:75 Page:102877
ISSN:0169-8141
Container-title:International Journal of Industrial Ergonomics
language:en
Short-container-title:International Journal of Industrial Ergonomics

Author:

Wang Peng^ORCID,Fang Weining,Guo Beiyuan^ORCID

Funder

National Natural Science Foundation of China

Research Foundation of State Key Laboratory of Rail Traffic Control and Safety

Publisher

Elsevier BV

Subject

Public Health, Environmental and Occupational Health,Human Factors and Ergonomics

Reference59 articles.

1. Analysis of the Petri net model of parallel manufacturing processes with shared resources;Ahmad;Inf. Sci.,2011

2. Evaluation of hydraulic excavator Human-Machine Interface concepts using NASA TLX;Akyeampong;Int. J. Ind. Ergon.,2014

3. Predicting dual-task performance with the multiple resources questionnaire (MRQ);Boles;Hum. Factors,2007

4. From Place/Transition Petri nets to B abstract machines for safety critical systems;Boudi;IFAC-PapersOnLine,2015

5. The effects of using an angle of attack system on pilot performance and workload during selected phases of flight;Bromfield;Procedia Manufacturing,2015

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1. Workload Measurement Method for Manned Vehicles in Multitasking Environments;Aerospace;2024-05-16

2. Understanding the Causes of Design Errors in Construction Projects: A DEMATEL-Based Framework;Journal of Legal Affairs and Dispute Resolution in Engineering and Construction;2024-05

3. Sustainable Measurement of Mental and Physical Workloads of Transjakarta Bus Drivers;IOP Conference Series: Earth and Environmental Science;2024-04-01

4. MICRO ERGONOMICS: THE INFLUENCE OF HUMAN CHARACTERISTICS TOWARDS MENTAL WORKLOAD AMONG ONLINE MOTORCYCLE OJEK DRIVERS;International Journal of Manufacturing Economics and Management;2023-06-20

5. Mental Overload Assessment Method Considering the Effects of Performance Shaping Factors;IEEE Access;2023

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