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A colored petri nets based workload evaluation model and its validation through Multi-Attribute Task Battery-II.

Peng Wang1, Weining Fang1, Beiyuan Guo1

  • 1State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, No. 3 Shang Yuan Cun, Haidian District, 100044 Beijing, China.

Applied Ergonomics
|February 8, 2017
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Summary
This summary is machine-generated.

This study introduces a novel workload evaluation model using colored Petri nets, demonstrating a strong correlation with established workload indices and the ability to differentiate individual task behaviors.

Keywords:
Colored petri netsMulti-Attribute Task Battery-IIWorkload

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Area of Science:

  • Human-Computer Interaction
  • Cognitive Engineering
  • Systems Engineering

Background:

  • Workload evaluation is critical for optimizing task performance and user experience.
  • Existing workload assessment methods may lack precision in capturing dynamic task processes.
  • Multiple Resources Theory provides a framework for understanding task demands.

Purpose of the Study:

  • To propose a novel workload evaluation model based on colored Petri nets.
  • To formally interpret workload by mapping Petri net components to task elements.
  • To integrate Multiple Resources Theory and VACP rating scales into a unified model.

Main Methods:

  • Developed a colored Petri net model representing task processes.
  • Introduced V/A-C-P units and defined colored transitions for workload calculation.
  • Implemented a four-step calculation process including token initialization, arc weight calculation, transition workload assessment, and repetitive behavior correction.
  • Validated the model using the Multi-Attribute Task Battery-II software.

Main Results:

  • The proposed model showed a strong correlation (r=0.9513) with NASA-Task Load Index scores.
  • The model effectively distinguished behavioral characteristics between different individuals.
  • The colored Petri nets approach provided a formal and detailed workload evaluation.

Conclusions:

  • The colored Petri nets-based workload evaluation model is a valid and reliable tool.
  • This model offers a nuanced understanding of task processes and individual differences in workload.
  • The approach has potential applications in human-computer interaction and cognitive engineering for performance optimization.