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 …
measures in neuromarketing, identifying which EEG measures are the most robust predictor …
Feature selection of EEG signals in neuromarketing
A Al-Nafjan - PeerJ Computer Science, 2022 - peerj.com
Brain–computer interface (BCI) technology uses electrophysiological (EEG) signals to detect
user intent. Research on BCI has seen rapid advancement, with researchers proposing and …
user intent. Research on BCI has seen rapid advancement, with researchers proposing and …
An EEG‐based neuro‐recommendation system for improving consumer purchase experience
The aperture between the marketing domain and the electroencephalography (EEG)‐based
brain–computer interface (BCI) has been achieved with the inception of neuromarketing …
brain–computer interface (BCI) has been achieved with the inception of neuromarketing …
A systematic review on EEG-based neuromarketing: recent trends and analyzing techniques
Neuromarketing is an emerging research field that aims to understand consumers' decision-
making processes when choosing which product to buy. This information is highly sought …
making processes when choosing which product to buy. This information is highly sought …
Inner speech classification using eeg signals: A deep learning approach
B van den Berg, S van Donkelaar… - 2021 IEEE 2nd …, 2021 - ieeexplore.ieee.org
Brain computer interfaces (BCIs) provide a direct communication pathway between humans
and computers. There are three major BCI paradigms that are commonly employed: motor …
and computers. There are three major BCI paradigms that are commonly employed: motor …
Multi-channel EEG-based classification of consumer preferences using multitaper spectral analysis and deep learning model
H Göker - Multimedia Tools and Applications, 2024 - Springer
Neuromarketing relies on brain-computer interface technology to understand consumer
preferences for products and services. Marketers spend approximately 400 billion dollars …
preferences for products and services. Marketers spend approximately 400 billion dollars …
From virtual reality to augmented reality: A neuromarketing perspective
Recent studies on consumer behaviors showed that the role of neuroscientific tools in
increasing the knowledge of the neural mechanism is involved in the decision and …
increasing the knowledge of the neural mechanism is involved in the decision and …
The Importance of Big Data Analysis: Developing Neuromarketing in Tourism Industry
The process of finding trends, patterns and correlations in enormous amounts of
unstructured data in order to assist in making choices that are influenced by the data is …
unstructured data in order to assist in making choices that are influenced by the data is …
Application of convolutional neural network for classification of consumer preference from hybrid EEG and FNIRS signals
M Ramirez, S Kaheh, MA Khalil… - 2022 IEEE 12th Annual …, 2022 - ieeexplore.ieee.org
Neuromarketing research has emerged as an innovative and creative method to understand
consumers' minds and improve marketing effectiveness. Neuromarketing uses physiological …
consumers' minds and improve marketing effectiveness. Neuromarketing uses physiological …
Discrimination of customers decision-making in a like/dislike shopping activity based on genders: a neuromarketing study
A Hassani, A Hekmatmanesh, AM Nasrabadi - IEEE Access, 2022 - ieeexplore.ieee.org
The present study considers the decision making of customers in a Like/Dislike task with
respect to the gender of customers. The investigation is performed by recording …
respect to the gender of customers. The investigation is performed by recording …