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Whither Workload? Mapping a Path for Its Future Development

  • Conference paper
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Human Mental Workload: Models and Applications (H-WORKLOAD 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 726))

Abstract

I present a number of looming barriers to a smooth path of progress for cognitive workload assessment. The first of these is the AID’s of workload (i.e., association, indifference, and dissociation) between its various reflections (i.e., subjective, physiological, and performance measures). The second is the manner in which the time-varying change in imposed task demand links to the workload response, and what specific characteristics of the former drive the latter. The third is the persistent but largely unaddressed issue of the meaningfulness of the work undertaken. Thus, does interesting and involving work result in lower workload and vice-versa? If these foregoing and predominantly methodological concerns can be overcome, then the utility of the workload construct can continue to grow. If they cannot be resolved then workload assessment threatens to be ineffective in a world which desperately requires a valid and reliable way to index cognitive achievement.

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Notes

  1. 1.

    I am, rather, a real illusionist. That is, I subscribe to the existence of matter but believe all perceived patterns in such matter are iatrogenic illusion. Such illusions are embedded in the standard narrative of living existence, the final illusion of which is time. As a tool, time can be a useful servant but a poor master.

  2. 2.

    Of course, exactly how we determine, a priori, what represents increasing ‘task demand’ is itself an issue fraught with the problem of subjective assessment. For the present example, I have based the arguments on an assumption of increasing demand but need to acknowledge the potential flaws in this foundation.

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Acknowledgments

I am grateful to the organizers of the meeting for permitting me this opportunity and especially professor Luca Longo for his helpful and insightful suggestions on an earlier version of the present work. I am also indebted to Dr. Lauren Reinerman-Jones, and the UMPIREE Project for the support in order to consider a number of these conceptual problems.

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Correspondence to P. A. Hancock .

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Hancock, P.A. (2017). Whither Workload? Mapping a Path for Its Future Development. In: Longo, L., Leva, M. (eds) Human Mental Workload: Models and Applications. H-WORKLOAD 2017. Communications in Computer and Information Science, vol 726. Springer, Cham. https://doi.org/10.1007/978-3-319-61061-0_1

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  • DOI: https://doi.org/10.1007/978-3-319-61061-0_1

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-61061-0

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