Consumer behaviour through the eyes of neurophysiological measures: State‐of‐the‐art and future trends

P Cherubino, AC Martinez-Levy… - Computational …, 2019 - Wiley Online Library
The new technological advances achieved during the last decade allowed the scientific
community to investigate and employ neurophysiological measures not only for research …

[HTML][HTML] Neuromarketing: Its current status and research perspectives

P Duque-Hurtado, V Samboni-Rodriguez… - Estudios …, 2020 - scielo.org.co
This document aims to conduct a literature review in order to identify evolution and research
trends in the area of neuromarketing. To achieve this objective, a science mapping …

[图书][B] Psychophysiological measurement and meaning: Cognitive and emotional processing of media

RF Potter, P Bolls - 2012 - taylorfrancis.com
This research volume serves as a comprehensive resource for psychophysiological
research on media responses. It addresses the theoretical underpinnings, methodological …

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

A Byrne, E Bonfiglio, C Rigby, N Edelstyn - Brain Informatics, 2022 - Springer
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 …

Consumer neuroscience-based metrics predict recall, liking and viewing rates in online advertising

J Guixeres, E Bigné, JM Ausin Azofra… - Frontiers in …, 2017 - frontiersin.org
The purpose of the present study is to investigate whether the effectiveness of a new ad on
digital channels (YouTube) can be predicted by using neural networks and neuroscience …

Effects of exercise on electroencephalography-recorded neural oscillations: a systematic review

L Hosang, E Mouchlianitis, SMR Guérin… - … Review of Sport and …, 2024 - Taylor & Francis
Research on the effects of exercise on cortical activity has grown significantly, with a
predominant focus on the technique of electroencephalography (EEG). Technological …

EEG signal classification using a novel universum-based twin parametric-margin support vector machine

BB Hazarika, D Gupta, B Kumar - Cognitive Computation, 2024 - Springer
The Universum data, which indicates a sample that does not belong to any of the classes,
has been proved to be useful in supervised learning. The researchers have explored the …

Established liked versus disliked brands: Brain activity, implicit associations and explicit responses

SS Bosshard, JD Bourke, S Kunaharan… - Cogent …, 2016 - Taylor & Francis
Consumers' attitudes towards established brands were tested using implicit and explicit
measures. In particular, late positive potential (LPP) effects were assessed as an implicit …

Neuromarketing: understanding the application of neuroscientific methods within marketing research

T Daugherty, E Hoffman - … : Implications for Market Research and Business …, 2017 - Springer
The use of neuroscientific research methods can provide marketers with the means to better
analyze and understand consumer behavior. These technologies and methods have helped …

Decision neuroscience and neuroeconomics: Recent progress and ongoing challenges

JB Dennison, D Sazhin… - Wiley Interdisciplinary …, 2022 - Wiley Online Library
In the past decade, decision neuroscience and neuroeconomics have developed many new
insights in the study of decision making. This review provides an overarching update on how …