Application of EEG Metrics in the Decision-Making Process

Mateusz Piwowarski (), Uma Shankar Singh () and Kesra Nermend ()
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Mateusz Piwowarski: University of Szczecin
Uma Shankar Singh: Tishk International University
Kesra Nermend: University of Szczecin

Chapter Chapter 14 in Experimental and Quantitative Methods in Contemporary Economics, 2020, pp 187-199 from Springer

Abstract: 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.

Keywords: EEG metrics; Decision making; Multi-criteria methods (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-030-30251-1_14

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DOI: 10.1007/978-3-030-30251-1_14

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