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Measuring Cognitive Workload in Arithmetic Tasks Based on Response Time and EEG Features

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Information Systems Architecture and Technology: Proceedings of 38th International Conference on Information Systems Architecture and Technology – ISAT 2017 (ISAT 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 655))

Abstract

The aim of the present paper is to verify whether the cognitive load can be evaluated through the analysis of the examined person’s response time and extracted EEG signal features. The research was based on an experiment consisting of six intervals ensuring various cognitive load level of arithmetic tasks. The paper describes in details the analysis process including signal pre-processing with artifact correction, feature extraction and outlier detection. Statistical verification of EEG band differences, response time and error rate in intervals was realised. Statistical correlations were found between EEG features and response time, however, the correlation strength increased inside the groups of intervals of similar cognitive workload level. Evoked related potentials were also analysed and their results confirmed the statistical outcomes.

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Authors and Affiliations

  1. Lublin University of Technology, Lublin, Poland

    Małgorzata Plechawska-Wójcik, Magdalena Borys, Mikhail Tokovarov & Monika Kaczorowska

Authors
  1. Małgorzata Plechawska-Wójcik
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  2. Magdalena Borys
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  3. Mikhail Tokovarov
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  4. Monika Kaczorowska
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Corresponding author

Correspondence to Monika Kaczorowska .

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Editors and Affiliations

  1. Department of Computer Science, Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Leszek Borzemski

  2. Department of Computer Science, Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Jerzy Świątek

  3. Department of Management Systems, Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Zofia Wilimowska

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Plechawska-Wójcik, M., Borys, M., Tokovarov, M., Kaczorowska, M. (2018). Measuring Cognitive Workload in Arithmetic Tasks Based on Response Time and EEG Features. In: Borzemski, L., Świątek, J., Wilimowska, Z. (eds) Information Systems Architecture and Technology: Proceedings of 38th International Conference on Information Systems Architecture and Technology – ISAT 2017. ISAT 2017. Advances in Intelligent Systems and Computing, vol 655. Springer, Cham. https://doi.org/10.1007/978-3-319-67220-5_6

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  • DOI: https://doi.org/10.1007/978-3-319-67220-5_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67219-9

  • Online ISBN: 978-3-319-67220-5

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