DOI: 10.14704/nq.2018.16.5.1383

Cognitive Decision-making and Public Opinions

Wang Mo


The influence of public opinions on emergency decision-making has attracted more and more attention in recent years. Emergency decision-making is characterized by high risk, fuzzy information and time pressure. Public opinions induced by emergency have important influence on people's decision-making preference. Based on the four induced conditions, including positive public opinion, neutral public opinion, negative public opinion and public opinion induced by emergent situations, this paper studies the brain evoked potential information of subjects and proposes a new intuitive decision-making model. The results show that the average scores of the positive opinion group on the positive scale are significantly different, while the scores of the negative opinion group on the negative scale are significantly different. Participants in group of public opinion induced by emergent situations tend to be more adventurous in their decision-making preferences than those in the negative public opinion group. The results of brain information processing of neutral, positive and negative public opinion groups show that both the standard stimulus and deviant stimulus could induce obvious negative deflection in 100-200ms in EEG. In the processing the information induced by emergent situations, amplitude deviation between the standard stimulus and deviant stimulus is smaller, which is perceived as insensitive.


Public Opinion, Decision-Making Preference, Decision-Making Model, Electroencephalogram (EEG), Amplitude

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Ascione F, Bianco N, De Stasio C, Mauro GM, Vanoli GP. A methodology to assess and improve the impact of public energy policies for retrofitting the building stock: application to Italian office buildings. International Journal of Heat and Technology 2016; 34(S2): S277-86.

Balestrini PP. Public opinion regarding globalisation: the kernels of a ‘European spring’ of public discontent. Globalizations 2015; 12(2): 261-75.

Carlson KA, Guha A. Leader-focused search: the impact of an emerging preference on information search. Organizational Behavior and Human Decision Processes 2011; 115(1): 133-41.

Chen J, Hu B, Moore P, Zhang X, Ma X. Electroencephalogram-based emotion assessment system using ontology and data mining techniques. Applied Soft Computing 2015; 30: 663-74.

Deco G, Kringelbach ML. Hierarchy of information processing in the brain: a novel 'intrinsic ignition' framework. Neuron 2017; 94(5): 961-68.

Feng HY, Peng YH, Gong JS, Yin FL. Numerical simulation of two-dimensional large-amplitude acoustic oscillations, International Journal of Heat and Technology 2016; 34(1): 143-50.

Flynn D, Knoedler MA, Hess EP, Murad MH, Erwin PJ. Engaging patients in health care decisions in the emergency department through shared decision-making: a systematic review. Academic Emergency Medicine 2012; 19(8): 959-67.

Galperina E, Mekler A, Muss A, Kruchinina O, Spiridonov E. Study on systemic and informational processes in the brain while experiencing musical emotions. International Journal of Psychophysiology 2016; 108, 163-64.

Gupta DS, Merchant H. Editorial: understanding the role of the time dimension in the brain information processing. Frontiers in Psychology 2017; 8 (240): 1-4.

Isel F, Kail M. Morphosyntactic integration in French sentence processing: event-related brain potentials evidence. Journal of Neurolinguistics 2018; 46: 23-36.

Khrennikov AY. Cognitive processes of the brain: an ultrametric model of information dynamics in unconsciousness. P-Adic Numbers, Ultrametric Analysis, and Applications 2014; 6(4): 293-302.

Kuznetsova KA, Muñoz MS, Ritchie SJ, Cox SR, Storkey AJ, Starr JM. Brain white matter structure and information processing speed in healthy older age. Brain Structure & Function 2016; 221(6): 3223-35.

Little RG, Manzanares T, Wallac WA. Factors influencing the selection of decision support systems for emergency management: an empirical analysis of current use and user preferences. Journal of Contingencies & Crisis Management 2015; 23(4): 266-74.

Morgan MG. Use (and abuse) of expert elicitation in support of decision making for public policy. Proceedings of the National Academy of Sciences of the United States of America 2014; 111(20): 7176-84.

Oka S, Urakawa T, Kakigi R, Kaneoke Y. Direction without speed information process in the human brain: a magnetoencephalographic study using random dots apparent motion stimulus. Open Journal of Molecular & Integrative Physiology 2011; 1(2): 17-22.

Penke L, Maniega SM, Murray C, Gow AJ, Hernández MCV, Clayden JD. A general factor of brain white matter integrity predicts information processing speed in healthy older people. Journal of Neuroscience 2010; 30(22): 7569-74.

Portnova GV. EEG study of the disgust and pleasant stimuliperception in 5-6 years children and adults, NeuroQuantology 2017; 15(3): 130-35.

Reddy JSK, Suseela YV. Commentary: fractals and theirreducibility of consciousness in plants and animals, NeuroQuantology 2017; 15(3): 197-99.

Salokyová Š. The occurrence of mechanical vibration due to changing thickness of splinter during milling, Academic Journal of Manufacturing Engineering 2016; 14(2): 46-51.

Sysoeva OV, Maluchenko NV, Smirnov KS, Shleptsova VA, Ivanitsky AM, Tonevitsky AG. Peculiarities of brain information processing in persons with different serotonin transporter gene variants. Bulletin of Experimental Biology & Medicine 2009; 148(5): 731-34.

Wichchukit S. A transfer of technology from engineering: use of roc curves from signal detection theory to investigate information processing in the brain during sensory difference testing. Journal of Food Science 2010; 75(9): 183-93.

Zaccone R, Sacile R, Fossa M. Energy modelling and decision support algorithm for the exploitation of biomass resources in industrial districts, International Journal of Heat and Technology 2017; 35(S1): S322-29.

Zheng J, Wang Y, Chen S. Dynamic case retrieval method with subjective preferences and objective information for emergency decision making. IEEE/CAA Journal of Automatica Sinica 2016; 99: 1-10.

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