Application of EEG Metrics in the Decision-Making Process

  • Mateusz PiwowarskiEmail author
  • Uma Shankar Singh
  • Kesra Nermend
Conference paper
Part of the Springer Proceedings in Business and Economics book series (SPBE)


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.


EEG metrics Decision making Multi-criteria methods 



The project financed within the Regional Excellence Initiative programme of the Minister of Science and Higher Education of Poland, years 2019-2022, project no. 001/RID/2018/19, financing 10 684 000,00 PLN.


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Mateusz Piwowarski
    • 1
    Email author
  • Uma Shankar Singh
    • 2
  • Kesra Nermend
    • 1
  1. 1.Department of Computational Methods in Experimental Economics, Faculty of Economics and Management, Institute of IT in ManagementUniversity of SzczecinSzczecinPoland
  2. 2.Faculty of Administrative Sciences and EconomicsTishk International UniversityErbil-KurdistanIraq

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