Application of neuroscience techniques for the analysis of nuts consumer perception

Rocio Lopez-Navarro

https://orcid.org/0000-0002-3213-4367

Spain

Universitat Politècnica de València image/svg+xml

Departamento de Economía y Ciencias Sociales

Carmen Escriba-Perez

https://orcid.org/0000-0003-4820-4099

Spain

Universitat Politècnica de València image/svg+xml

Departamento de Economía y Ciencias Sociales.

Luis Montero-Vicente

https://orcid.org/0000-0002-1992-5949

Spain

Universitat Politècnica de València image/svg+xml

Departamento de Economía y Ciencias Sociales

Juan Manuel Buitrago-Vera

https://orcid.org/0000-0003-1681-1310

Spain

Universitat Politècnica de València image/svg+xml

Departamento de Economía y Ciencias Sociales

|

Accepted: 2024-10-04

|

Published: 2025-06-16

DOI: https://doi.org/10.7201/earn.2025.01.09
Funding Data

Downloads

Keywords:

consumer neuroscience, electroencephalography (EEG), galvanic skin response (GSR), EsSense Profile®, consumer preference

Supporting agencies:

This research was not funded

Abstract:

The aim of this study was to analyse the conscious (hedonic scales and EsSense Profile®) and unconscious (Electroencephalography and Galvanic Skin Response) consumer responses to two types of nuts, fried almonds and peeled nuts from two different supermarkets. Significant visual and taste differences were found for fried almonds, showing greater affinity for the A chain. For peeled nuts, no significant differences were found; consumers perceived them in a similar way. This study demonstrates the value of consumer neuroscience as a complement to other consumer preference analysis techniques.

Show more Show less

References:

AENOR. (2010). Análisis sensorial: Guía general para el diseño de salas de cata (UNE-EN ISO 8589). Madrid: Asociación Española de Normalización y Certificación.

AENOR. (2017). Análisis sensorial. Metodología. Guía general para la realización de pruebas hedónicas con consumidores en una zona controlada (UNE-EN-ISO 11136:2017). Madrid: Asociación Española de Normalización y Certificación.

Allen, J.J.B., Coan, J.A. & Nazarian, M. (2004). “Issues and assumptions on the road from raw signals to metrics of frontal EEG asymmetry in emotion”. Biological Psychology, 67(1-2), 183-218. https://doi.org/10.1016/j.biopsycho.2004.03.007

Benedek, M. & Kaernbach, C. (2010). “A continuous measure of phasic electrodermal activity”. Journal of Neuroscience Methods, 190(1), 80-91. https://doi.org/10.1016/J.JNEUMETH.2010.04.028

Briesemeister, B.B., Tamm, S., Heine, A. & Jacobs, A.M. (2013). “Approach the good, withdraw from the bad—A review on Frontal Alpha Asymmetry Measures in Applied Psychological Research”. Psychology, 4(3), 261-267. https://doi.org/10.4236/PSYCH.2013.43A039

Brouwer, A.M., Hogervorst, M.A., Grootjen, M., van Erp, J.B.F. & Zandstra, E.H. (2017). “Neurophysiological responses during cooking food associated with different emotions”. Food Quality and Preference, 62, 307-316. https://doi.org/10.1016/j.foodqual.2017.03.005

Cardello, A.V., Pineau, B., Paisley, A.G., Roigard, C.M., Chheang, S.L., Guo, L.F., Hedderley, D.I. & Jaeger, S.R. (2016). “Cognitive and emotional differentiators for beer: An exploratory study focusing on «uniqueness»”. Food Quality and Preference, 54, 23-38. https://doi.org/10.1016/J.FOODQUAL.2016.07.001

Cherubino, P., Martinez-Levy, A.C., Caratù, M., Cartocci, G., Di Flumeri, G., Modica, E., Rossi, D., Mancini, M. & Trettel, A. (2019). “Consumer behaviour through the eyes of neurophysiological measures: State-of-the-art and future trends”. Computational Intelligence and Neuroscience, 2019, 976847. https://doi.org/10.1155/2019/1976847

Coan, J.A. & Allen, J.J.B. (2003). “Frontal EEG asymmetry and the behavioral activation and inhibition systems”. Psychophysiology, 40(1), 106-114. https://doi.org/10.1111/1469-8986.00011

Davidson, R.J. (1992). “Anterior cerebral asymmetry and the nature of emotion”. Brain and Cognition, 20(1), 125-151. https://doi.org/10.1016/0278-2626(92)90065-T

Davidson, R.J., Jackson, D.C. & Kalin, N.H. (2000). “Emotion, plasticity, context, and regulation: Perspectives from affective neuroscience”. Psychological Bulletin, 126(6), 890-909. https://doi.org/10.1037/0033-2909.126.6.890

De la Morena, A. (2016). Neuromarketing y nuevas estrategias de la mercadotecnia: análisis de la eficiencia publicitaria en la diferenciación de género y la influencia del marketing sensorial y experiencial en la decisión de compra. Obtenido de: Universidad Complutense de Madrid. https://hdl.handle.net/20.500.14352/20951

Dorado, R., Pérez-Hugalde, C., Picard, A. & Chaya, C. (2016). “Influence of first position effect on emotional response”. Food Quality and Preference, 49, 189-196. https://doi.org/10.1016/J.FOODQUAL.2015.12.009

EUROSTAT. (2023). International trade in goods. Obtenido de: Eurostat. https://ec.europa.eu/eurostat/web/international-trade-in-goods?etrans=es

FAOSTAT. (2023). Producción. Cultivos y productos ganaderos. Obtenido de: FAOSTAT. https://www.fao.org/faostat/es/#data/QV

Giacalone, D., Llobell, F. & Jaeger, S.R. (2022). “«Beyond liking» measures in foodrelated consumer research supplement hedonic responses and improve ability to predict consumption”. Food Quality and Preference, 97, 104459. https://doi.org/10.1016/J.FOODQUAL.2021.104459

Gimeno, E. (2002). “Frutos secos y salud”. Offarm, 21(11), 90-96.

Gonzalez Viejo, C., Fuentes, S., Howell, K., Torrico, D.D. & Dunshea, F.R. (2019). “Integration of non-invasive biometrics with sensory analysis techniques to assess acceptability of beer by consumers”. Physiology and Behavior, 200, 139-147. https://doi.org/10.1016/j.physbeh.2018.02.051

He, L., Freudenreich, T., Yu, W., Pelowski, M. & Liu, T. (2021). “Methodological structure for future consumer neuroscience research”. Psychology & Marketing, 38(8), 1161-1181. https://doi.org/10.1002/MAR.21478

Huettel, S.A., McKeown, M.J., Song, A.W., Hart, S., Spencer, D.D., Allison, T. & McCarthy, G. (2004). “Linking hemodynamic and electrophysiological measures of brain activity: Evidence from functional MRI and intracranial field potentials”. Cerebral Cortex, 14(2), 165-173. https://doi.org/10.1093/CERCOR/BHG115

King, S.C. & Meiselman, H.L. (2010). “Development of a method to measure consumer emotions associated with foods”. Food Quality and Preference, 21(2), 168-177. https://doi.org/10.1016/J.FOODQUAL.2009.02.005

King, S.C., Meiselman, H.L. & Thomas Carr, B. (2013). “Measuring emotions associated with foods: Important elements of questionnaire and test design”. Food Quality and Preference, 28(1), 8-16. https://doi.org/10.1016/J.FOODQUAL.2012.08.007

Knowles, S., Falkeisen, A., Gorman, M., Barker, S., Moss, R. & McSweeney, M.B. (2022). “Effect of geographical origin on consumers’ emotional response to alcoholic beverages: A study with wine and cider”. Journal of Sensory Studies, 37(4), e12766. https://doi.org/10.1111/JOSS.12766

Krumpal, I. (2011). “Determinants of social desirability bias in sensitive surveys: A literature review”. Quality & Quantity, 47(4), 2025-2047.

Larrañaga-Ayastuy, E., Mora, M., Romeo-Arroyo, E., Esteban, E. & Vázquez-Araújo, L. (2023). “Electrodermal response and its relationship with explicit response in controlled and real contexts: A case study with different beer styles”. Journal of Sensory Studies, 38(1), e12799. https://doi.org/10.1111/joss.12799

MAPA. (2023a). Balance de campaña 2022/2023. Sectorial de Frutos de Cáscara. Obtenido de: Ministerio de Agricultura Pesca y Alimentación. https://www.mapa.gob.es/es/agricultura/temas/producciones-agricolas/balance2022-23yperspectivas2023-2417octubre2023_tcm30-661812.pdf

MAPA. (2023b). Panel de consumo alimentario. Obtenido de: Ministerio de Agricultura Pesca y Alimentación. https://www.mapa.gob.es/es/alimentacion/temas/consumo-tendencias/panel-de-consumo-alimentario/series-anuales/default.aspx

Martinez-Levy, A.C., Moneta, E., Rossi, D., Trettel, A., Peparaio, M., Civitelli, E.S., Di Flumeri, G., Cherubino, P., Babiloni, F. & Sinesio, F. (2021). “Taste responses to chocolate pudding with different sucrose concentrations through physiological and explicit self-reported measures”. Foods, 10(7), 1527. https://doi.org/10.3390/FOODS10071527/S1

Mora, M., Elzo-Aizarna, J., Rozas-Fuertes, S., Velilla-Echeita, L. & Vázquez-Araújo, L. (2020). “Implicit reaction vs explicit emotional response: Protected designation of origin in apple cider”. Food Quality and Preference, 79, 103773. https://doi.org/10.1016/J.FOODQUAL.2019.103773

Nestrud, M.A., Meiselman, H.L., King, S.C., Lesher, L.L. & Cardello, A.V. (2016). “Development of EsSense25, a shorter version of the EsSense Profile®”. Food Quality and Preference, 48, 107-117. https://doi.org/10.1016/J.FOODQUAL.2015.08.005

Niedziela, M.M. & Ambroze, K. (2021). “The future of consumer neuroscience in food research”. Food Quality and Preference, 92, 104124. https://doi.org/10.1016/j.foodqual.2020.104124

Samant, S.S. & Seo, H.S. (2020). “Influences of sensory attribute intensity, emotional responses, and non-sensory factors on purchase intent toward mixed-vegetable juice products under informed tasting condition”. Food Research International, 132, 109095. https://doi.org/10.1016/j.foodres.2020.109095

Schouteten, J.J., De Pelsmaeker, S., Juvinal, J., Lagast, S., Dewettinck, K. & Gellynck, X. (2018). “Influence of sensory attributes on consumers’ emotions and hedonic liking of chocolate”. British Food Journal, 120(7), 1489-1503. https://doi.org/10.1108/BFJ-08-2017-0436/FULL/PDF

Sharma, M., Kacker, S. & Sharma, M. (2016). “A brief introduction and review on galvanic skin response”. International Journal of Medical Research Professionals, 2(5), 254-257. https://doi.org/10.21276/ijmrp.2016.2.6.003

Stasi, A., Songa, G., Mauri, M., Ciceri, A., Diotallevi, F., Nardone, G. & Russo, V. (2018). “Neuromarketing empirical approaches and food choice: A systematic review”. Food Research International, 108, 650-664. https://doi.org/10.1016/J.FOODRES.2017.11.049

Verastegui-Tena, L., van Trijp, H. & Piqueras-Fiszman, B. (2019). “Heart rate, skin conductance, and explicit responses to juice samples with varying levels of expectation (dis)confirmation”. Food Quality and Preference, 71, 320-331. https://doi.org/10.1016/j.foodqual.2018.08.011

Walsh, A.M., Duncan, S.E., Bell, M.A., O’Keefe, S.F. & Gallagher, D.L. (2017). “Integrating implicit and explicit emotional assessment of food quality and safety concerns”. Food Quality and Preference, 56, 212-224. https://doi.org/10.1016/j.foodqual.2016.11.002

Wilcoxon, F. (1992). “Individual comparisons by ranking methods”. En Kotz, S. & Johnson, N.L. (Eds.): Breakthroughs in Statistics: Methodology and Distribution (pp. 196-202). New York: Springer. https://doi.org/10.1007/978-1-4612-4380-9_16

Show more Show less