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Human Error Identification and Mental Workload Index Setting During a Computer Power Source Change Task: A Case Study

  • Margarita Ortiz-Solis
  • Aide Aracely Maldonado-Macias
  • Manuel Alejandro Barajas-Bustillos
  • Karina Arredondo-Soto
  • Teresa Carrillo-Gutiérrez
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 793)

Abstract

This research shows the case study of a cognitive analysis of computer repair technicians’ tasks. According to face to face interviews, the task of diagnose the failure and testing the power supply present difficulties and human error is frequent. In this manner, it is necessary to analyze the task related with this computer malfunctioning that generates high mental workload and, therefore, holds the greatest risk. Thus, the SHERPA human error identification and the NASA-TLX mental workload designation methodologies are presented along with a Hierarchical Task Analysis HTA as a first stage to the study. The results from SHERPA show one critical, occasional error; the results from NASA-TLX show mental demands as having highest score. Actions for human error prevention are also recommended.

Keywords

Computer Hierarchical Task Analysis (HTA) Human Error Identification (HEI) Systematic Human Error Reduction and Prediction (SHERPA) Mental workload designation NASA Task Load Index (NASA-TLX) 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  • Margarita Ortiz-Solis
    • 1
  • Aide Aracely Maldonado-Macias
    • 1
  • Manuel Alejandro Barajas-Bustillos
    • 2
  • Karina Arredondo-Soto
    • 3
  • Teresa Carrillo-Gutiérrez
    • 3
  1. 1.Department of Industrial and Manufacturing EngineeringUniversidad Autónoma de Ciudad JuarezCiudad JuarezMéxico
  2. 2.Department of Electrical Engineering and ComputingCiudad Juárez Autonomous UniversityCd. JuárezMéxico
  3. 3.Department of Industrial Engineering Campus EnsenadaAutonomous University of Baja CaliforniaTijuanaMéxico

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