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Application of EEG Metrics in the Decision-Making Process

In: Experimental and Quantitative Methods in Contemporary Economics

Author

Listed:
  • Mateusz Piwowarski

    (University of Szczecin)

  • Uma Shankar Singh

    (Tishk International University)

  • Kesra Nermend

    (University of Szczecin)

Abstract

The decision-making process is a complex task uses the multi-criteria methods in the formalized decision support. Decisions are direct reflection of decision maker preferences. Multi-criteria methods use different methodological approaches (algorithms) to determine the final assessment of decision variants (e.g., ranking). Decision maker must do many actions (partial evaluations) in some of these methods. Issues of the decision maker’s engagement in the assessment process arise which can be identified using measurements by EEG. It is possible to identify various internal processes occurring with the decision maker during individual stages of the calculation procedure. Various types of EEG metrics are used for this, such as the index of frontal asymmetry, engagement, distraction, etc.

Suggested Citation

  • Mateusz Piwowarski & Uma Shankar Singh & Kesra Nermend, 2020. "Application of EEG Metrics in the Decision-Making Process," Springer Proceedings in Business and Economics, in: Kesra Nermend & Małgorzata Łatuszyńska (ed.), Experimental and Quantitative Methods in Contemporary Economics, chapter 0, pages 187-199, Springer.
    • Handle: RePEc:spr:prbchp:978-3-030-30251-1_14
    DOI: 10.1007/978-3-030-30251-1_14
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    Citations

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    Cited by:

    1. Natalia Wagner & Izabela Kotowska & Michał Pluciński, 2022. "The Impact of Improving the Quality of the Port’s Infrastructure on the Shippers’ Decisions," Sustainability, MDPI, vol. 14(10), pages 1-22, May.
    2. Mateusz Piwowarski & Katarzyna Gadomska-Lila & Kesra Nermend, 2021. "Cognitive Neuroscience Methods in Enhancing Health Literacy," IJERPH, MDPI, vol. 18(10), pages 1-19, May.

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