Task Analysis for Improving Training of Construction Equipment Operators

We previously conducted a preliminary analysis of the tasks performed by operators of hydraulic excavators, where the excavator is stationary and the implement is controlled by joysticks operated with the left and right hands. In the present paper, we put forward a detailed comparative analysis of t...

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Bibliographic Details
Main Authors: Proctor, R., Dunston, P., So, J., Wang, Xiangyu
Other Authors: Hubo Cai
Format: Conference Paper
Published: ASCE 2012
Online Access:http://hdl.handle.net/20.500.11937/34084
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author Proctor, R.
Dunston, P.
So, J.
Wang, Xiangyu
author2 Hubo Cai
author_facet Hubo Cai
Proctor, R.
Dunston, P.
So, J.
Wang, Xiangyu
author_sort Proctor, R.
building Curtin Institutional Repository
collection Online Access
description We previously conducted a preliminary analysis of the tasks performed by operators of hydraulic excavators, where the excavator is stationary and the implement is controlled by joysticks operated with the left and right hands. In the present paper, we put forward a detailed comparative analysis of the tasks for a hydraulic excavator and those for a wheel loader, of which operation of the latter requires simultaneous coordination of vehicular driving and implement operation whereas operation of the former does not. These analyses, based on Hierarchical Task Analysis (HTA), illustrate the complexity of equipment operation and distinguish the skills to be acquired for each machine. By employing HTA to decompose complex tasks into a hierarchy of goals and sub-goals, a better direction may be devised for how trainees spend their practice time for both the simulator and real equipment training phases. Future phases of this research will include input from experienced operators and trainers and extension of the HTA analysis to finer levels of description, including cognitive tasks.
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institution Curtin University Malaysia
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last_indexed 2025-11-14T08:35:27Z
publishDate 2012
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spelling curtin-20.500.11937-340842023-02-07T08:01:19Z Task Analysis for Improving Training of Construction Equipment Operators Proctor, R. Dunston, P. So, J. Wang, Xiangyu Hubo Cai Amr Kandil Makarand Hastak Phillip S. Dunston We previously conducted a preliminary analysis of the tasks performed by operators of hydraulic excavators, where the excavator is stationary and the implement is controlled by joysticks operated with the left and right hands. In the present paper, we put forward a detailed comparative analysis of the tasks for a hydraulic excavator and those for a wheel loader, of which operation of the latter requires simultaneous coordination of vehicular driving and implement operation whereas operation of the former does not. These analyses, based on Hierarchical Task Analysis (HTA), illustrate the complexity of equipment operation and distinguish the skills to be acquired for each machine. By employing HTA to decompose complex tasks into a hierarchy of goals and sub-goals, a better direction may be devised for how trainees spend their practice time for both the simulator and real equipment training phases. Future phases of this research will include input from experienced operators and trainers and extension of the HTA analysis to finer levels of description, including cognitive tasks. 2012 Conference Paper http://hdl.handle.net/20.500.11937/34084 10.1061/9780784412329.018 ASCE fulltext
spellingShingle Proctor, R.
Dunston, P.
So, J.
Wang, Xiangyu
Task Analysis for Improving Training of Construction Equipment Operators
title Task Analysis for Improving Training of Construction Equipment Operators
title_full Task Analysis for Improving Training of Construction Equipment Operators
title_fullStr Task Analysis for Improving Training of Construction Equipment Operators
title_full_unstemmed Task Analysis for Improving Training of Construction Equipment Operators
title_short Task Analysis for Improving Training of Construction Equipment Operators
title_sort task analysis for improving training of construction equipment operators
url http://hdl.handle.net/20.500.11937/34084