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Weighing the Importance of Drivers’ Workload Measurement Standardization

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Intelligent Human Systems Integration 2019 (IHSI 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 903))

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Abstract

Workload is an inescapable topic within the context of Human-Machine Interaction (HMI). Evolution dictates that HMI systems will be all the more attractive to users the more intuitive they are. While attempting to create an optimized workload management system, the authors have encountered a difficulty in gathering a homogeneous definition of workload and a standardized manner of measuring it. In fact, some researchers even call into question the fact that maybe different things are being discussed. Could it be the underlying cause of many of the HMI failures so far recorded? Either way, the weight this concept carries is too heavy to be dealt lightly. It is very important that standardized strategies for measurement of workload are developed so that, for one, different results can be compared and contribute to a more robust understanding of the concept and that, for two, the measurement of workload is globalized and able to be adapted to all users.

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Acknowledgments

This work has been supported by European Structural and Investment Funds in the FEDER component, through the Operational Competitiveness and Internationalization Programme (COMPETE 2020) [Project nº 039334; Funding Reference: POCI-01-0247-FEDER-039334].

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Authors and Affiliations

  1. DPS, School of Engineering, University of Minho, Guimarães, Portugal

    Eduarda Pereira

  2. ALGORITMI Centre, School of Engineering, University of Minho, Guimarães, Portugal

    Susana Costa, Nélson Costa & Pedro Arezes

Authors
  1. Eduarda Pereira
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  2. Susana Costa
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  3. Nélson Costa
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  4. Pedro Arezes
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Corresponding author

Correspondence to Pedro Arezes .

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Editors and Affiliations

  1. University of Central Florida, Orlando, FL, USA

    Waldemar Karwowski

  2. Institute for Advanced Systems Engineering, University of Central Florida, Orlando, FL, USA

    Tareq Ahram

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Pereira, E., Costa, S., Costa, N., Arezes, P. (2019). Weighing the Importance of Drivers’ Workload Measurement Standardization. In: Karwowski, W., Ahram, T. (eds) Intelligent Human Systems Integration 2019. IHSI 2019. Advances in Intelligent Systems and Computing, vol 903. Springer, Cham. https://doi.org/10.1007/978-3-030-11051-2_13

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