Medición psicofisiolóxica das emocións políticas. Unha análise dos seus antecedentes e proposta metodolóxica
Barra de artigos
Contido principal do artigo
Resumo
O presente traballo examina a pertinencia e as limitacións dos modelos tradicionais de predición electoral no campo da Ciencia Política. Sinálase como os métodos clásicos baseados en variables sociodemográficas e actitudinais están a perder precisión debido á información incorrecta proporcionada polos enquisados e ao xiro emocional derivado da espectacularización da política. Destácase a necesidade de buscar novos enfoques que incorporen a medición das emocións, principalmente baseados na teoría da intelixencia afectiva de George Marcus, co apoio de técnicas de medición psicofisiolóxica. Obsérvanse estudos que utilizaron a electroencefalografía (EEG) e a variabilidade da frecuencia cardíaca (VFC) para predicir o comportamento electoral con maior precisión que os métodos tradicionais, así como modelos de determinación da emoción de maneira automática. A fin de resolver os problemas dos modelos actuais, proponse a creación dun novo modelo que combine o autoinforme e a resposta fisiolóxica para mellorar a predición do comportamento político.
Palabras chave
Citado por
Detalles do artigo
Citas
ANSOLABEHERE, Stephen y HERSH, Eitan (2012). “Validation: What Big Data Reveal About Survey Misreporting and the Real Electorate”. Poitical Analysis, 20(4), 437-459. https://doi.org/10.1093/pan/mps023
BRADLEY, Margaret M. y LANG, Peter J. (1994). “Measuring emotion: The self-assessment manikin and the semantic differential”. Journal of Behavior Therapy and Experimental Psychiatry, 25(1), 49–59. https://doi.org/10.1016/0005-7916(94)90063-9
CAMPBELL, Angus; CONVERSE, Philip E.; MILLER, Warren E.; y STOKES, Donald E. (1960). The American voter, New York: John Wiley and sons.
DIMBERG, Ulf (1990). “Facial electromyography and emotional reactions”. Psychophysiology, 27(5), 481–494. https://doi.org/10.1111/J.1469-8986.1990.TB01962.X
DODD, Michael D.; BALZER, Amanda; JACOBS, Carly M.; GRUSZCZYNSKI, Michael W.; SMITH, Kevin B. y HIBBING, John R. (2012). “The political left rolls with the good and the political right confronts the bad: connecting physiology and cognition to preferences” Philosophical Transactions of the Royal Society B: Biological Sciences, 367(1589), 640-649. https://doi.org/10.1098/RSTB.2011.0268
DOMÍNGUEZ-JIMÉNEZ, Juan Antonio; CAMPO-LANDINES, Kiara; MARTÍNEZ-SANTOS, Juan Carlos; DELAHOZ, Enrique José y CONTRERAS-ORTIZ, Sonia Helena (2020). “A machine learning model for emotion recognition from physiological signals”. Biomedical Signal Processing and Control, 55, 101646. https://doi.org/10.1016/J.BSPC.2019.101646
DOWNS, Anthony (1957). An economic theory of democracy, Inglaterra: Harper & Row.
EKMAN, Paul (1992). “An Argument for Basic Emotions”. Cognition and Emotion, 6(3–4), 169–200. https://doi.org/10.1080/02699939208411068
EKMAN, Paul y FRIESEN, Wallace V. (1978). “Facial action coding system”. Environmental Psychology & Nonverbal Behavior. https://doi.org/10.1037/t27734-000
EKMAN, Paul y ROSENBERG, Erika L. (2005). What the face reveals: basic and applied studies of spontaneous expression using the facial action coding system (FACS), Oxford: Oxford University Press.
GALLI, Giulia; ANGELUCCI, Davide; BODE, Stefan; DE GIORGI, Chiara; DE SIO, Lorenzo; PAPARO, Aldo; Di LORENZO, Giorgio y BETTI, Viviana (2021). “Early EEG responses to pre-electoral survey items reflect political attitudes and predict voting behavior”. Scientific Reports 2021, 11(1), 1–13. https://doi.org/10.1038/s41598-021-96193-y
HERMANN, Margaret G. (1986). Political psychology, San Francisco: Jossey-Bass.
HILL, Seth J. y TAUSANOVITCH, Chris (2015). “A Disconnect in Representation? Comparison of Trends in Congressional and Public Polarization”. The Journal of Politis, 77(4), 1058–1075. https://doi.org/10.1086/682398
KLEINGINNA, Paul R. y KLEINGINNA, Anne M. (1981). “A categorized list of emotion definitions, with suggestions for a consensual definition”. Motivation and Emotion, 5(4), 345–379. https://doi.org/10.1007/BF00992553
KOTAK, Aditya y MOORE, Don A. (2020). “Public Election Polls are 95% Confident but only 60% Accurate”. Behavioral Science and Policy https://doi.org/10.31234/osf.io/rj643
LADD, Jonathan McDondald y LENZ, Gabriel S. (2008). Reassessing the Role of Anxiety in Vote Choice. Political Psychology, 29(2), 275–296. https://doi.org/10.1111/j.1467-9221.2008.00626.x
LANDIS, Carney y HUNT, William Alvin (1939). The startle pattern, New York: Farrar & Rinehart.
LANG, Peter J. (1994). The Varieties of Emotional Experience: A Meditation on James-Lange Theory. Psychological Review, 101(2), 211–221. https://doi.org/10.1037/0033-295X.101.2.211
LAZARSFELD, Paul F.; BERELSON, Bernard y Gaudet, Hazel (1944). The people’s choice: how the voters makes up his mind in a presidential campaign, New York: Columbia University Press.
LAZARUS, Richard S. (1991). Emotion and Adaptation. Oxford: Oxford University Press.
LIPSET, Seymour Martin. (1961). Political man: the social bases of politics. Baltimore: Johns Hopkins University Press.
LODGE, Milton y TABER, Charles (2000). “Three Steps toward a Theory of Motivated Political Reasonin”, en A. LUPIA y M. D. MCCUBBINS (eds.) Elements of Reason. Cognition, choice and the bounds of rationality, Cambridge: Cambridge University Press,183–213. https://doi.org/10.1017/CBO9780511805813.009
MACKUEN, Michael; MARCUS, George E. y NEUMAN, W. Russell (2000). Affective Intelligence and Political Judgment, Chicago: University of Chicago Press.
MARCUS, George E.; VALENTINO, Nicholas A.; VASILOPOULOS, Pavlos y FOUCAULT, Martial (2019). “Applying the Theory of Affective Intelligence to Support for Authoritarian Policies and Parties”. Political Psychology, 40(S1), 109–139. https://doi.org/10.1111/POPS.12571
MAUSS, Iris B. y ROBINSON, Michael D. (2009). “Measures of emotion: A review”. Cognition & Emotion, 23(2), 209–237. https://doi.org/10.1080/02699930802204677
MERTON, Robert (1968). Contributions to the Theory of Reference Group Behaviour, Nueva York: The Free Press.
MILLER, Jon, KALMBACH, Jason, WOODS, Logan & CEPURAN, Claire. (2021). “The Accuracy and Value of Voter Validation in National Surveys: Insights from Longitudinal and Cross-Sectional Studies”. Political Research Quarterly, 74(2), 332–347. https://doi.org/10.1177/1065912920903432/
MO GROBA, Diego (2021). Impacto de las emociones en la decisión de voto: hacia una perspectiva emocional del comportamiento electoral. Universidad de Santiago de Compostela: Tesis Doctoral.
MONTERO, Maritza y DORNA, Alejandro (1998). “La psicologia politica contemporánea”. Revista Latinoamericana de Psicología, 25(1), 21–43.
OXLEY, Douglas R.; SMITH, Kevin B.; ALFORD, John R.; HIBBING, Matthew V.; MILLER, Jennifer L.; SCALORA, Mario; HATEMI, Peter K. y HIBBING, John R. (2008). “Political attitudes vary with physiological traits”. Science, 321(5896), 1667–1670. https://doi.org/10.1126/SCIENCE.1157627
PANKSEPP, Jaak (1992). “A critical role for “affective neuroscience” in resolving what is basic about basic emotions”. Psychological Review, 99(3), 554–560. https://doi.org/10.1037//0033-295X.99.3.554
PINTO, Gisela; CARVALHO, João M.; BARROS, Filipa; SOARES, Sandra C.; PINHO, Armando J. y BRÁS, Susana (2020). “Multimodal Emotion Evaluation: A Physiological Model for Cost-Effective Emotion Classification”. Sensors 2020, 20(12), 3510. https://doi.org/10.3390/S20123510
PLUTCHIK, Robert (1958). “Outlines of a new theory of emotion”. Transactions of the New York Academy of Sciences, 20(5), 394–403. https://doi.org/10.1111/J.2164-0947.1958.TB00600.X
PLUTCHIK, Robert (1980). “A general psychoevolutionary theory of emotion”, en R. PLUTCHIK y H. KELLERMAN (eds.), Theories of Emotion, Cambridge: Academic Press, 3–33. https://doi.org/10.1016/B978-0-12-558701-3.50007-7
PLUTCHIK, Robert (1990). “Emotions and psychotherapy: A psychoevolutionary perspective”, en R. PLUTCHIK Y h. KELLERMAN (eds.) Emotion, psychopathology, and psychotherapy, Cambridge: Academic Press, 3–41.
RENSHON, Jonathan; LEE, Jooa Julia y TINGLEY, Dustin (2015). “Physiological Arousal and Political Beliefs”. Political Psychology, 36(5), 569–585. https://doi.org/10.1111/pops.12173
ROBINSON, Michael D. y CLORE, Gerald L (2002). “Episodic and semantic knowledge in emotional self-report: Evidence for two judgment processes”. Journal of Personality and Social Psychology, 83, 198–215. https://doi.org/10.1037/0022-3514.83.1.198
RODRÍGUEZ LIÑARES, Leandro; CUESTA, Pedro; MÉNDEZ, Arturo J.; VILA, Xosé A. y LADO, María J. (2013). “¿Afectan los Spots Electorales al Ritmo Cardíaco?”. Comunicación, Cultura y Esferas de Poder: Libro de Actas. XIII. Santiago de Compostela: Ibercom, 3559-3571.
RÚAS-ARAÚJO, José; CUESTA-MORALES, Pedro y VILA-SOBRINO, Xosé Antón (2016). “Study of political campaign ads from Ecuador employing heart rate variability (Hrv)”, en Á. ROCHA; A. CORREIA; H. ADELI; L. REIS; y M. MENDOÇA (eds.) Advances in Intelligent Systems and Computing, 445, Nueva York: Springer, 421–430. https://doi.org/10.1007/978-3-319-31307-8_44
RUSSELL, James A. y BARRETT, Lisa Feldman (1999). “Core affect, prototypical emotional episodes, and other things called emotion: Dissecting the elephant”. Journal of Personality and Social Psychology, 76(5), 805–819. https://doi.org/10.1037/0022-3514.76.5.805
SHU, Lin; XIE, Jinyan; YANG, Mingyue; LI, Ziyi; LI, Zhenqi; LIAO, Dan; XU, Xiangmin y YANG, Xinyi (2018). “A Review of Emotion Recognition Using Physiological Signals”. Sensors, 18(7). https://doi.org/10.3390/S18072074
SMITH, Kevin B. y WARREN, Clarisse (2020). “Physiology predicts ideology. Or does it? The current state of political psychophysiology research”. Current Opinion in Behavioral Sciences, 34, 88–93. https://doi.org/10.1016/J.COBEHA.2020.01.001
SUZUKI, Kei; LAOHAKANGVALVIT, T.ipporn; MATSUBARA, Ryota y SUGAYA, Midori (2021). “Constructing an Emotion Estimation Model Based on EEG/HRV Indexes Using Feature Extraction and Feature Selection Algorithms”. Sensors 21(9), 2910. https://doi.org/10.3390/S21092910
WAGNER, Michael W.; DEPPE, Kristen D.; JACOBS, Carly M.; FRIESEN, Amanda; SMITH, Kevin B. y HIBBING, John R. (2015). “Beyond Survey Self-Reports: Using Physiology to Tap Political Orientations”. International Journal of Public Opinion Research, 27(3), 303–317. https://doi.org/10.1093/IJPOR/EDU036
ZHANG, Jianhua; YIN, Zhong; CHEN, Peng y NICHELE, Stefano (2020). “Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review”. Information Fusion, 59, 103–126. https://doi.org/10.1016/j.inffus.2020.01.011
Artigos máis lidos do mesmo autor/a(s)
- 1 Bustos Gisbert, Las oraciones subordinadas de relativo y su rendimiento en el texto escrito , Verba: Anuario Galego de Filoloxía: Vol 51 (2024)