Abstract
The aim of this paper was to understand the influence of cognitive and emotional-motivational aspects of task complexity on workers performances in high-technology driven drilling activity in a deep mine. Data was collected by observing and video recording miners’ engaged in two separate production drilling activities, using two Boomers simultaneously. Based on the analysis, it is found that the workers encounter cognitive challenges in their ability to process information marked on rock surfaces for the positioning of the boomers, resulting in added complexity to their drilling tasks. The workers’ were also found to have issues with the quality of their designed job environment, and which emotional-motivational challenge also added to their tasks complexity. It is concluded that by understanding the emerging cognitive and emotional-motivational aspects of task complexities, future design processes of a friendly and performance enhancing work environments and technologies could evolve for efficient and effective human work.
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References
Sanda, M.A., Johansson, J., Johansson, B.: Conceptualization of the attractive work environment and organizational activity for humans in future deep mines. WASET Int. J. Soc. Behav. Educ. Econ. Bus. Ind. Eng. 5(2), 256–262 (2011)
Moore, S.M., Bauer, E.R., Steiner, L.J.: Prevalence and Cost of Cumulative Injuries over Two Decades of Technological Advances: A Look at Underground Coal Mining in the U.S. http://www.cdc.gov/NIOSH/mining/pubs/pdfs/pacoc.pdf (2011)
Sanda, M.A., Johansson, J., Johansson, B., Abrahamsson, L.: Understanding social collaboration between actors and technology in an automated and digitized deep mining environment. Ergonomics 54(10), 90–916 (2011)
Braha, D., Maimon, O.: The measurement of a design structural and functional complexity. IEEE Trans. Syst. Manage. 28, 527–535 (1998)
Vicente, K.J.: Cognitive Work Analysis: Toward Safe Productive and Healthy Computer-Based Work. Lawrence Erlbaum Associates Publishers, Mahwah, NJ (1999)
Meister, D.: The History of the Human Factors and Ergonomics. Lawrence Erlbaum Associates Publishers, Mahwah, NJ (1999)
Bedny, G.Z., Karwowski, W.: A Systemic-Structural Theory of Activity: Applications to Human Performance and Work Design. Taylor and Francis, Boca Raton, FL (2007)
Payne, W.: Task complexity and contingent processing in decision-making: an information search and protocol analysis. Org. Behav. Hum. Perform. 16, 366–387 (1997)
Kieras, D., Polson, P.G.: An approach to the formal analysis of user complexity. Int. J. Man-Mach. Stud. 22, 365–394 (1985)
Gallwey, T.J., Drury, G.G.: Task complexity in visual inspection. Hum. Factor 28, 596–606 (1986)
Zarakovsky, G.M., Magazannik, V.D.: Psychological criteria of complex decision-making processes. In: Lomov, B.F., Venda, V.F. (eds.) Methodology of Engineering Psychology of Work Management, pp. 63—79. Science, Moscow (1981)
Mirabella, A., Wheaton, G.R.: Effects of task Index Variations on Transfer of Training Criteria. Report NAVTRAEQUIPEN 72-C-0126-1. Naval Training Equipment Center, Orlando, Florida. January (AD 773-047/7GA) (1974)
Venda, V.F.: Engineering Psychology and Synthesis of Informational Sources. Manufacturing Publishers, Moscow (1975)
Abrahamsson, L., Johansson, J.: From grounded skills to sky qualifications: a study of workers creating and recreating qualifications, identity and gender at an underground iron ore mine in Sweden. J. Ind. Rel. 48(5), 657–676 (2006)
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Sanda, MA. (2017). Cognitive and Emotional-Motivational Implications in the Job Design of Digitized Production Drilling in Deep Mines. In: Hale, K., Stanney, K. (eds) Advances in Neuroergonomics and Cognitive Engineering. Advances in Intelligent Systems and Computing, vol 488. Springer, Cham. https://doi.org/10.1007/978-3-319-41691-5_18
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DOI: https://doi.org/10.1007/978-3-319-41691-5_18
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