Neuroscience Experiment for Graphical Visualization in the FITradeoff Decision Support System
The neuroscience approach is considered to be a study of the neural system and its implications for processes in the human body. Behavioral studies in Multicriteria Decision Making (MCDM) still have a gap and in this context, Neuroscience can be used as a decision support tool. Therefore, the aim of this research study is to explore the potential of using graphical visualization in the FITradeoff Decision Support System (DSS) by undertaking an eye-tracking experiment and applying it to a decision problem. In the end, based on the results, suggestions are made to the analyst and improvements are made to the design of the DSS so that solutions could be found that accurately express a decision maker’s preferences.
KeywordsNeuroscience Multicriteria decision-making FITradeoff Eye-tracking
This study was partially sponsored by the Brazilian Research Council (CNPq) for which the authors are most grateful.
- 6.Guixeres, J., et al.: Consumer Neuroscience-based metrics predict recall, liking and viewing rates in online advertising. Front. Psychol. 8 (2017). https://doi.org/10.3389/fpsyg.2017.01808
- 8.Keeney, R.L., Raiffa, H.: Decisions with Multiple Objectives - Preferences, and Value Tradeoffs. Wiley, New York (1976)Google Scholar
- 10.Kothe, C.A., Makeig, S.: Estimation of task workload from EEG data: new and current tools and perspectives. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (2011)Google Scholar
- 16.Riedl, R., Davis, F.D., Hevne, R., Alan, R.: Towards a NeuroIS research methodology: intensifying the discussion on methods, tools, and measurement. J. Assoc. Inf. Syst. 15, I (2014)Google Scholar
- 19.Slanzi, G., Balazs, J., Velásquez, J.D.: Predicting Web user click intention using pupil dilation and electroencephalogram analysis. In: IEEE/WIC/ACM International Conference on Web Intelligence (WI). IEEE (2016)Google Scholar