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Understanding mental workload: from a clarifying concept analysis toward an implementable framework

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Abstract

The growing need for mental workload (MWL) optimization on the shop floor yields an impressive increase in theoretical and applied references to the concept of mental workload (Young et al. in Ergonomics 139:1–17, 2014). However, do we really understand and agree upon what mental workload exactly is? Does it include emotional load? Can we rely upon an explanatory framework? The present account first runs a critical concept analysis on mental workload, based on the Walker and Avant (Strategies for theory construction in nursing, Prentice Hall, Upper Saddle River, 2011) method. Results show that existing definitions and theoretical accounts arbitrarily include and exclude defining variables and describe these variables on various levels of abstraction, misuse pivotal terms such as mediation and moderation and do not theoretically explicitate the role of yet repeatedly operationalized emotional load variables such as frustration. We therefore clarify the concept by disentangling MWL into its antecedents, defining attributes and consequences. Next, we derive a clear-cut conceptual definition and present a generic explanatory framework—the latter extended with insights from Cognitive Load Theory (Sweller in Cogn Sci 12:257–285, 1988; Learn Instr 4:295–312, 1994). We conclude with a set of suggestions for future research and practice. Next to contributing to the theoretical clarification of this hallmark concept, the concept analysis and derived explanatory framework, as proposed, can foster solid research practices and support practitioners in contextualizing MWL-assessment and in effectively optimizing MWL.

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Acknowledgements

This work was funded by the strategic research centre for the manufacturing industry Flanders Make, Oude Diestersebaan, 133, 3920 Lommel, as part of the SBO project Yves.

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Correspondence to Bram B. Van Acker.

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Van Acker, B.B., Parmentier, D.D., Vlerick, P. et al. Understanding mental workload: from a clarifying concept analysis toward an implementable framework. Cogn Tech Work 20, 351–365 (2018). https://doi.org/10.1007/s10111-018-0481-3

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  • DOI: https://doi.org/10.1007/s10111-018-0481-3

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