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Automated Systems and Trust: Mineworkers' Trust in Proximity Detection Systems for Mobile Machines
BACKGROUND: Collisions involving workers and mobile machines continue to be a major concern in underground coal mines. Over the last 30 years, these collisions have resulted in numerous injuries and fatalities. Recently, the Mine Safety and Health Administration (MSHA) proposed a rule that would req...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Occupational Safety and Health Research Institute
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6933178/ https://www.ncbi.nlm.nih.gov/pubmed/31890329 http://dx.doi.org/10.1016/j.shaw.2019.09.003 |
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author | Swanson, LaTasha R. Bellanca, Jennica L. Helton, Justin |
author_facet | Swanson, LaTasha R. Bellanca, Jennica L. Helton, Justin |
author_sort | Swanson, LaTasha R. |
collection | PubMed |
description | BACKGROUND: Collisions involving workers and mobile machines continue to be a major concern in underground coal mines. Over the last 30 years, these collisions have resulted in numerous injuries and fatalities. Recently, the Mine Safety and Health Administration (MSHA) proposed a rule that would require mines to equip mobile machines with proximity detection systems (PDSs) (systems designed for automated collision avoidance). Even though this regulation has not been enacted, some mines have installed PDSs on their scoops and hauling machines. However, early implementation of PDSs has introduced a variety of safety concerns. Past findings show that workers' trust can affect technology integration and influence unsafe use of automated technologies. METHODS: Using a mixed-methods approach, the present study explores the effect that factors such as mine of employment, age, experience, and system type have on workers' trust in PDSs for mobile machines. The study also explores how workers are trained on PDSs and how this training influences trust. RESULTS: The study resulted in three major findings. First, the mine of employment had a significant influence on workers' trust in mobile PDSs. Second, hands-on and classroom training was the most common types of training. Finally, over 70% of workers are trained on the system by the mine compared with 36% trained by the system manufacturer. CONCLUSION: The influence of workers' mine of employment on trust in PDSs may indicate that practitioners and researchers may need to give the organizational and physical characteristics of each mine careful consideration to ensure safe integration of automated systems. |
format | Online Article Text |
id | pubmed-6933178 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Occupational Safety and Health Research Institute |
record_format | MEDLINE/PubMed |
spelling | pubmed-69331782019-12-30 Automated Systems and Trust: Mineworkers' Trust in Proximity Detection Systems for Mobile Machines Swanson, LaTasha R. Bellanca, Jennica L. Helton, Justin Saf Health Work Original Article BACKGROUND: Collisions involving workers and mobile machines continue to be a major concern in underground coal mines. Over the last 30 years, these collisions have resulted in numerous injuries and fatalities. Recently, the Mine Safety and Health Administration (MSHA) proposed a rule that would require mines to equip mobile machines with proximity detection systems (PDSs) (systems designed for automated collision avoidance). Even though this regulation has not been enacted, some mines have installed PDSs on their scoops and hauling machines. However, early implementation of PDSs has introduced a variety of safety concerns. Past findings show that workers' trust can affect technology integration and influence unsafe use of automated technologies. METHODS: Using a mixed-methods approach, the present study explores the effect that factors such as mine of employment, age, experience, and system type have on workers' trust in PDSs for mobile machines. The study also explores how workers are trained on PDSs and how this training influences trust. RESULTS: The study resulted in three major findings. First, the mine of employment had a significant influence on workers' trust in mobile PDSs. Second, hands-on and classroom training was the most common types of training. Finally, over 70% of workers are trained on the system by the mine compared with 36% trained by the system manufacturer. CONCLUSION: The influence of workers' mine of employment on trust in PDSs may indicate that practitioners and researchers may need to give the organizational and physical characteristics of each mine careful consideration to ensure safe integration of automated systems. Occupational Safety and Health Research Institute 2019-12 2019-09-25 /pmc/articles/PMC6933178/ /pubmed/31890329 http://dx.doi.org/10.1016/j.shaw.2019.09.003 Text en © 2019 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Article Swanson, LaTasha R. Bellanca, Jennica L. Helton, Justin Automated Systems and Trust: Mineworkers' Trust in Proximity Detection Systems for Mobile Machines |
title | Automated Systems and Trust: Mineworkers' Trust in Proximity Detection Systems for Mobile Machines |
title_full | Automated Systems and Trust: Mineworkers' Trust in Proximity Detection Systems for Mobile Machines |
title_fullStr | Automated Systems and Trust: Mineworkers' Trust in Proximity Detection Systems for Mobile Machines |
title_full_unstemmed | Automated Systems and Trust: Mineworkers' Trust in Proximity Detection Systems for Mobile Machines |
title_short | Automated Systems and Trust: Mineworkers' Trust in Proximity Detection Systems for Mobile Machines |
title_sort | automated systems and trust: mineworkers' trust in proximity detection systems for mobile machines |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6933178/ https://www.ncbi.nlm.nih.gov/pubmed/31890329 http://dx.doi.org/10.1016/j.shaw.2019.09.003 |
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