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A Method to Estimate Operator’s Mental Workload in Multiple Information Presentation Environment of Agricultural Vehicles

  • Xiaoping Jin
  • Bowen Zheng
  • Yeqing Pei
  • Haoyang Li
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10275)

Abstract

The development of mechanized agriculture has brought many new features to agricultural vehicles today. Considering more human limitations, such as situational awareness and the potential for mental overload, operator’s mental workload seems to be a critical issue. This study presents a quantitative method for determining the mental workload imposed on agricultural vehicle operators and to express their mental workload by means of a model that was objective and could stand up to the test of validity. The proposed model consisted of three task elements and six weighted moderating factors. And a modified task workload analysis measurement was used to validate the model by analyzing video recordings of eighteen subjects working in three combine harvester vehicles over an eight-hour shift. The comparison results implied the model’s validity. Subjective workload was mildly correlated with the three task elements in the model. It is shown to provide an objective method for assessment and prediction of operator’s mental workload in the multiple information presentation environment of farming machines.

Keywords

Agricultural vehicle Cognitive ergonomics Mental workload Information presentation Task analysis 

Notes

Acknowledgements

This study was financially supported by the National Key Technology Support Program “Large Agricultural Machinery Digital Manufacturing and Automatic Production” (2012BAF07B01) and Chinese Universities Scientific Fund (2013XJ002).

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Xiaoping Jin
    • 1
  • Bowen Zheng
    • 1
  • Yeqing Pei
    • 1
  • Haoyang Li
    • 1
  1. 1.China Agricultural UniversityBeijingChina

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