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Using systemic structural activity approach in identifying strategies enhancing human performance in mining production drilling activity
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences.ORCID iD: 0000-0003-0147-0680
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Human Work Science.ORCID iD: 0000-0002-1367-3277
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Human Work Science.
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Human Work Science.
2014 (English)In: Theoretical Issues in Ergonomics Science, ISSN 1463-922X, E-ISSN 1464-536X, Vol. 15, no 3, 262-282 p.Article in journal (Refereed) Published
Abstract [en]

This article seeks to identify performance-enhancing strategies that could be used to improve and optimise human–technology collaboration in rock drilling ‘activity’ in deep mines. Results from the analysis of miners’ motor actions during rock drilling activity showed that by using procedurally driven strategies, they were able to perform simultaneously two specific tasks that required high levels of concentration and visual control in the normal visual field available to them from inside the protective cabin of the high-technology equipment they were using. The miners simultaneously combine their mental actions and motor actions in recognising and remedying the constraining effects of unfamiliar stimuli during the rock drilling task. It is concluded that the functional efficiency and effectiveness of rock drilling as well as the miner’s productive performance infuture automated and digitised deep mines could be enhanced by identifying the procedural characteristics of their performance-enhancing actions and operational strategies.

Place, publisher, year, edition, pages
2014. Vol. 15, no 3, 262-282 p.
Keyword [en]
systemic structural analysis, procedural and declarative knowledge, digitised deep mine, performance- enhancing strategy, Social sciences - Sociology, Social sciences - Psychology, Manufacturing engineering and work sciences - Work sciences and ergonomics
Keyword [sv]
Socialvetenskap - Sociologi, Socialvetenskap - Psykologi, Produktion och arbetsvetenskap - Arbetsvetenskap och ergonomi
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Industrial Work Environment; Human Work Science; Gender and Technology
Identifiers
URN: urn:nbn:se:ltu:diva-11446DOI: 10.1080/1463922X.2012.705916Local ID: a69205ab-58d6-469f-9512-6abb8963780bOAI: oai:DiVA.org:ltu-11446DiVA: diva2:984396
Note

Validerad; 2014; 20120813 (mohami)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-11-24Bibliographically approved

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Sanda, Mohammed-AminuJohansson, JanJohansson, BoAbrahamsson, Lena
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