Decision neuroscience for improving data visualization of decision support in the FITradeoff method

  • Lucia Reis Peixoto Roselli
  • Adiel Teixeira de AlmeidaEmail author
  • Eduarda Asfora Frej
Original paper


Multi-criteria decision making/aiding problems are very common in everyday life in society. Nevertheless, some difficulties appear when such problems arise and visualization may facilitate this process. Neuroscience deals with the study of the neural system and has had increasing relevance for several areas of knowledge, including multi-criteria decision making/aiding, as it adds to the understanding of human behavior and the decision process. Using neuroscience tools to aid improving data visualization is becoming increasingly relevant, since this is an important issue for decision-making. Therefore, this study seeks to use neuroscience in order to investigate how decision makers evaluate the graphical visualization in FITradeoff method. In this context, a neuroscience experiment using eye-tracking was developed, the main purpose of which was to improve the FITradeoff decision support system and, moreover, to provide information for the analyst about the application of graphical visualization in multi-criteria decision making/aiding problems. The experiment was applied using graduate and postgraduate management engineering students. This paper presents the main results obtained from the experiments, and also an analysis of these results.


Decision neuroscience Multicriteria decision making/aiding MCDM/A Eye-tracking FITradeoff Decision support system 



This study was partially sponsored by the Brazilian Research Council (CNPq) for which the authors are most grateful.


This work was partially supported by the National Council for Scientific and Technological Development (CNPq) and by the Coordination for the Improvements of Higher Education Personnel – Brazil (CAPES).

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.


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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.CDSID - Center for Decision Systems and Information DevelopmentFederal University of Pernambuco – UFPERecifeBrazil

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