Análisis y validación de la respuesta emocional en grupos focales con el sistema NeuroLynQ
- Mejías Martínez, Guillermo 1
- Cuesta, Ubaldo 1
- Carolina Bengochea González 1
-
1
Universidad Complutense de Madrid
info
ISSN: 2659-9538
Año de publicación: 2021
Título del ejemplar: Methods for investigating communication
Volumen: 3
Número: 2
Páginas: 99-110
Tipo: Artículo
Otras publicaciones en: Comunicación & métodos
Resumen
Technological progress has favored the appearance of accessible equipment that makes it possible to apply neuroscience techniques to the field of communication. Now it is possible to analyze the so-called implicit responses, responses that the subjects emit automatically without being aware of it. This paper aims to validate, through two case studies of focus groups, whether the results of the NeuroLynQ system follow a logic that allows it to be used as a new form of methodology to draw conclusions from the emotional responses of the participants in a focus group. In the methodology section fundamentals and use of this technique is presented. Then, results of emotional response obtained in different time windows of different topics discussed in the focus group is exposed to finish discussing its application in the analysis of results in focus groups.
Referencias bibliográficas
- Baños-González, M., Baraybar-Fernández, A., & Rajas-Fernández, M. (2020). The Application of Neuromarketing Techniques in the Spanish Advertising Industry: Weaknesses and Opportunities for Development. Frontiers in Psychology, 11.
- Bonilla-Jimenez, F. I., & Escobar, J. (2017). Grupos focales: una guía conceptual y metodológica.
- Callejo, J. (2001). El grupo de discusión: introducción a una práctica de investigación. Grupo Planeta (GBS).
- Crespo-Pereira, V., Martínez-Fernández, V. A., & García-Soidán, P. (2016). El profesional del neuromarketing en el sector audiovisual español. Profesional de La Información, 25(2), 209–216.
- Epstein, S., & Roupenian, A. (1970). Heart rate and skin conductance during experimentally induced anxiety: The effect of uncertainty about receiving a noxious stimulus. Journal of Personality and Social Psychology, 16(1), 20.
- Ferdinando, H., Ye, L., Seppänen, T., & Alasaarela, E. (2014). Emotion recognition by heart rate variability. Australian Journal of Basic and Applied Science, 8(14), 50–55.
- Gibbs, A. (1997). Focus groups. Social Research Update, 19(8), 1–8.
- Goig, R. L. (2004). Grupos de discusión. Esic Editorial.
- González, M. B., Fernández, A. B., & Fernández, M. R. (2021). Mente y pensamiento alrededor del neuromarketing: economía, neurociencia y comunicación1. Procesos Cognitivos y Neuromarketing: Un Acercamiento a Las Emociones Del Consumidor, 9–34.
- Kahn, R. L. (1991). The Focused Interview: A Manual of Problems and Procedures. JSTOR.
- Merton, R. K., Fiske, M., & Kendall, P. L. (1956). The Focussed Inteview: an Manual of Problems and Procedures. Free P.
- Paredes, M. R., Apaolaza, V., Fernandez-Robin, C., Hartmann, P., & Yañez-Martinez, D. (2021). The impact of the COVID-19 pandemic on subjective mental well-being: The interplay of perceived threat, future anxiety and resilience. Personality and Individual Differences, 170, 110455. https://doi.org/10.1016/j.paid.2020.110455
- Ramsøy, T. Z. (2015). Introduction to neuromarketing & consumer neuroscience. Neurons Inc.
- Salazar, C. (2011). La neurociencia del consumidor como horizonte de investigación, conceptos y aplicaciones. Un enfoque paradigmático. Universidad & Empresa, 13(21), 143–166.
- Shi, Y., Ruiz, N., Taib, R., Choi, E., & Chen, F. (2007). Galvanic skin response (GSR) as an index of cognitive load. CHI’07 Extended Abstracts on Human Factors in Computing Systems, 2651–2656.
- Shimmersensing. (2019). NeuroLynQ v2.0 User Guide. http://shimmersensing.com/images/uploads/docs/NeuroLynQ_User_Guide_rev2.0a.pdf
- Tadajewski, M. (2016). Focus groups: history, epistemology and non-individualistic consumer research. Consumption Markets & Culture, 19(4), 319–345.
- Tarnowski, P., Kołodziej, M., Majkowski, A., & Rak, R. J. (2018). Combined analysis of GSR and EEG signals for emotion recognition. 2018 International Interdisciplinary PhD Workshop (IIPhDW), 137–141.