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Eye Tracking During A Complex Aviation Task For Insights Into Information Processing
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A Task Complexity Analysis Method to Study the Emergency Situation under Automated Metro System.

Ke Niu1,2, Wenbo Liu1,2, Jia Zhang1,2

  • 1Collaborative Innovation Center for HSR Driver Health and Safety, Zhengzhou Railway Vocational &Technical College, Zhengzhou 451460, China.

International Journal of Environmental Research and Public Health
|February 11, 2023
PubMed
Summary
This summary is machine-generated.

A new method assesses traffic dispatching team task complexity (TDTTC) using cognitive work analysis and network analysis. Increased network scale and communication lead to higher TDTTC, impacting safety and efficiency in automated metro operations.

Keywords:
automatic metro systemcomprehensive methodemergency situationtask complexity

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Area of Science:

  • Cognitive Engineering
  • Socio-technical Systems
  • Network Science

Background:

  • System upgrades and team interactions dynamically alter task structures in traffic dispatching.
  • Efficient and safe handling of emergencies necessitates a robust understanding of team task complexity.

Purpose of the Study:

  • To propose a comprehensive method for assessing traffic dispatching team task complexity (TDTTC).
  • To analyze TDTTC from a socio-technical systems perspective using cognitive work analysis and network feature analysis.

Main Methods:

  • Qualitative analysis using four phases of Team-CWA: domain, control task, strategies, and worker competencies analysis.
  • Quantitative analysis involving network mapping, and extraction of characteristic indexes (node degree, shortest path length, agglomeration coefficient, network performance).
  • Comparative case studies of screen door faults across automation grades GOA1-GOA4.

Main Results:

  • The study established a two-stage method for TDTTC analysis.
  • Increased network scale, indicated by more nodes and inter-node communication, directly correlates with higher TDTTC.
  • Higher automation grades did not inherently reduce TDTTC; complexity is influenced by network structure.

Conclusions:

  • The developed method provides a novel approach to evaluating TDTTC within socio-technical systems.
  • Findings highlight the critical role of network structure and communication in determining team task complexity.
  • This research contributes to cognitive engineering and advances the understanding of team task complexity in automated metro operations.