Multimodal consumer choice prediction using EEG signals and eye tracking
Marketing plays a vital role in the success of a business, driving customer engagement, brand recognition, and revenue growth. Neuromarketing adds depth to this by employing insights into consumer behavior through brain activity and emotional responses to create more effective marketing strategies....
Saved in:
Main Authors: | Syed Muhammad Usman, Shehzad Khalid, Aimen Tanveer, Ali Shariq Imran, Muhammad Zubair |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2025-01-01
|
Series: | Frontiers in Computational Neuroscience |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fncom.2024.1516440/full |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Determination of user experience on food business websites by using Neuromarketing techniques
by: Erhan Babaç, et al.
Published: (2022-07-01) -
Neural correlates of the non-optimal price: an MEG/EEG study
by: Aleksei Gorin, et al.
Published: (2025-01-01) -
A hybrid CNN model for classification of motor tasks obtained from hybrid BCI system
by: R. Shelishiyah, et al.
Published: (2025-01-01) -
Editorial: Multimodal approaches to investigating neural dynamics in cognition and related clinical conditions: integrating EEG, MEG, and fMRI data
by: Golnaz Baghdadi, et al.
Published: (2025-02-01) -
XCF-LSTMSATNet: A Classification Approach for EEG Signals Evoked by Dynamic Random Dot Stereograms
by: Tingting Zhang, et al.
Published: (2025-01-01)