Data

Perceptions and experiences of mine workers with automation: survey data analysis

The University of Queensland
Mrs Loreto Codoceo (Aggregated by) Mrs Loreto Codoceo (Aggregated by) Mrs Loreto Codoceo (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.48610/6c08b1b&rft.title=Perceptions and experiences of mine workers with automation: survey data analysis&rft.identifier=RDM ID: 685b40e6-5a46-495e-b483-0d691e169adf&rft.publisher=The University of Queensland&rft.description=Dataset includes the raw data collected from the survey, the code from R used to clean the data, and then the model. The research aims to explore mining workers’ perceptions of how autonomous and automated systems affect their situational awareness, team communication, and trust. A cross-sectional online survey was designed to assess the perceptions and experiences of workers with automation. This can reveal insights into the interaction between workers and mining automation, as well as coordination with both team workers and automated systems that require improvement for better performance and safety.&rft.creator=Mrs Loreto Codoceo&rft.creator=Mrs Loreto Codoceo&rft.creator=Mrs Loreto Codoceo&rft.date=2025&rft_rights= http://guides.library.uq.edu.au/deposit_your_data/terms_and_conditions&rft_subject=eng&rft_subject=Occupational and workplace health and safety&rft_subject=Human resources and industrial relations&rft_subject=COMMERCE, MANAGEMENT, TOURISM AND SERVICES&rft_subject=ENGINEERING&rft_subject=Human-centred computing&rft_subject=INFORMATION AND COMPUTING SCIENCES&rft_subject=Industrial and organisational psychology (incl. human factors)&rft_subject=Applied and developmental psychology&rft_subject=PSYCHOLOGY&rft.type=dataset&rft.language=English Access the data
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Sustainable Minerals Institute

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Dataset includes the raw data collected from the survey, the code from R used to clean the data, and then the model. The research aims to explore mining workers’ perceptions of how autonomous and automated systems affect their situational awareness, team communication, and trust. A cross-sectional online survey was designed to assess the perceptions and experiences of workers with automation. This can reveal insights into the interaction between workers and mining automation, as well as coordination with both team workers and automated systems that require improvement for better performance and safety.

Issued: 2025

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Subjects
Applied and Developmental Psychology | Commerce, Management, Tourism and Services | Engineering | Human Resources and Industrial Relations | Human-Centred Computing | Information and Computing Sciences | Industrial and Organisational Psychology (Incl. Human Factors) | Occupational and Workplace Health and Safety | Psychology | eng |

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ACN 633 798 857