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The Application of Clustering Analysis in the Assessment of Eye Movements During Flight Training Intervention

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Advances in Human Factors in Training, Education, and Learning Sciences (AHFE 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 963))

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Abstract

In this research, the application of K-means clustering analysis on pilots’ gaze points was studied in order to develop a quick evaluation approach for gazed-based training interventions. Detailed analysis of eye movements’ data takes a considerable amount of time which makes it difficult to use in some stages of training intervention. As a result, a more efficient indicator of trainees’ performance is needed to allow trainers the ability to provide timely feedback on trainees’ performance. In this research, the potential of using clustering analysis on pilots’ gaze points was assessed in order to classify bad and good gaze behaviors. One expert pilot and six novice pilots participated in the experiment. Pilots were equally divided into experimental and control groups.

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Authors and Affiliations

  1. Western New England University, Springfield, MA, USA

    Nima Ahmadi & Matthew R. Romoser

Authors
  1. Nima Ahmadi
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  2. Matthew R. Romoser
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Corresponding author

Correspondence to Nima Ahmadi .

Editor information

Editors and Affiliations

  1. Department of Industrial Engineering and Management Systems, University of Central Florida, Orlando, FL, USA

    Waldemar Karwowski

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

    Tareq Ahram

  3. Institute of Maritime Operations, University College of Southeast Norway, Borre, Norway

    Salman Nazir

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Ahmadi, N., Romoser, M.R. (2020). The Application of Clustering Analysis in the Assessment of Eye Movements During Flight Training Intervention. In: Karwowski, W., Ahram, T., Nazir, S. (eds) Advances in Human Factors in Training, Education, and Learning Sciences. AHFE 2019. Advances in Intelligent Systems and Computing, vol 963. Springer, Cham. https://doi.org/10.1007/978-3-030-20135-7_31

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  • DOI: https://doi.org/10.1007/978-3-030-20135-7_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20134-0

  • Online ISBN: 978-3-030-20135-7

  • eBook Packages: EngineeringEngineering (R0)

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