A systematic review of the prediction of consumer preference using EEG measures and machine-learning in neuromarketing research

INTRODUCTION: The present paper discusses the findings of a systematic review of EEG measures in neuromarketing, identifying which EEG measures are the most robust predictor of customer preference in neuromarketing. The review investigated which TF effect (e.g., theta-band power), and ERP component...

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Detalles Bibliográficos
Autores principales: Byrne, Adam, Bonfiglio, Emma, Rigby, Colin, Edelstyn, Nicky
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9663791/
https://www.ncbi.nlm.nih.gov/pubmed/36376735
http://dx.doi.org/10.1186/s40708-022-00175-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9663791/
https://www.ncbi.nlm.nih.gov/pubmed/36376735
http://dx.doi.org/10.1186/s40708-022-00175-3

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