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The Emotional Attentional Blink as a Measure of Patriotism

Published online by Cambridge University Press:  03 August 2020

José Antonio Aznar-Casanova*
Affiliation:
Universitat de Barcelona (Spain)
José M. Gavilán
Affiliation:
Universitat Rovira i Virgili (Spain)
Manuel Moreno Sánchez
Affiliation:
Universitat de Barcelona (Spain)
Juan Haro
Affiliation:
Universitat Rovira i Virgili (Spain)
*
Correspondence concerning this article should be addressed to José Antonio Aznar-Casanova. Universitat de Barcelona. Facultat de Psicologia. Departament de Cognició, Desenvolupament i Psicologia de l’Educació. Paseo el Valle de Hebron, 171, 08035 Barcelona (Spain). E- mail: jaznar2@ub.edu Phone: +34-933125145.
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Abstract

This study aims to explore whether the implicit processing of emotional symbols related to patriotic feeling may exert some effects on attention. Here, we have conducted an experiment using two interrelated tasks. First, we use flags with different meanings to participants for measuring the strength of the emotional attentional blink (EAB) within a rapid serial visual presentation (RSVP) paradigm. Then, we use a “congruency judgments” subjective test, where we confront participants to judge the affinity between pairs of politician leaders and flags of different sign for community participants, while recording two physiological measures (Heart Rate Variance and Galvanic Skin Response) to evaluate the variations elicited by that confrontation. Results on the EAB task show a significant emotion induced blindness for emotional stimuli representing Catalan and Spanish patriotism (α = .05), while the effect does not appear for the stimulus representing neutral patriotism. The interaction “Flags x Patriotism” was significant, F(1, 51) = 4.62; p = .036; ηp2 = .083. Results on the second task show that measures derived from electrophysiological records are sensitive to patriotic feeling, both being complementary. In addition, by using measures of congruence, the “Leaders x Flags” interaction was significant, F(3.682, 125.204) = 53.55; p < .001; ηp2 = .612. Finally, a multiple linear regression model for each emotional inductor was verified for the Catalan case, using the EAB effect as criteria, R2Adjusted = .79; p < .001. Some theoretical and methodological aspects derived of this exploratory study are discussed.

Information

Type
Research Article
Copyright
© Universidad Complutense de Madrid and Colegio Oficial de Psicólogos de Madrid 2020
Figure 0

Figure 1.Example of RSVP Experimental Trial (Series of 18 Images) with the Emotional Distractor (CD) in Position 5, and the Target (Tg) in Position +2 (Lag 2).

Figure 1

Figure 2.Graphs of the EAB Effect for Each Type of Flag The Catalan independence and Spanish constitutional flag were used as emotional stimuli, and the European flag as a neutral stimulus (Control). Bars are 2 * Standard Error Mean (SEM).

Figure 2

Figure 3.Flag by Patriotism Interaction, Using as a Measure the Mean of the Strength of the EAB Effect. Mixed factorial design: Flags (3) x Patriotism (2). Error bars indicate 2*SEM.

Figure 3

Figure 4.Images of the Six Flags and the Six Politicians Used in the Congruency Test. The three on the left are Catalan politicians, while the three on the right are Spanish politicians. Flags from left to right: Catalonia (autonomous community, independence), Spain (constitutional, non-constitutional), Neutral (EU, Olympic Games).

Figure 4

Figure 5.Means of the Congruence Judgments according to the “Leaders by Flag” Stimuli Presented to the Participants in the Congruence Test. Error bars indicate 2* SEM.

Figure 5

Figure 6.Line Graph Showing the Second Order Interaction “Leaders (2) x Flags (2) x Patriotism (2)” Using as Measure (DV) the Heart Rate Variation (IPI-HRV or RRSD). Error bars indicate 2*SEM.

Figure 6

Figure 7.Line Graph Showing the Second Order Interaction “Leaders x Flags x Patriotism” Using as Dependent Variable the Amplitude Range of the GSR. Error bars indicate 2*SEM.

Figure 7

Table 1.Regression Coefficients (B), Standardized Beta Weights (β), and VIFs (Variance Influence Factors) for the Stepwise Regression Model of the Strength of the EAB Effect.