The Role and Application of Artificial Intelligence in Neuromarketing Research Based on Electroencephalography

Artificial Intelligence (AI) is a vital element of neuro-marketing research, which improves the process of identifying consumer preferences by using Electroencephalography technology.Employing AI algorithms allows marketers to record and decode brain signals elicited by marketing stimuli precisely.The synergy of AI and EEG in neuromarketing will bring about a revolution in the way marketers conduct research on consumer behavior.AI applications in neuromarketing are not limited to this; they also involve creating neural systems that adapt in real-time by collecting EEG data to alter marketing messages and content per consumer preferences.Moreover, AI can be employed to take over, simulate, and forecast consumer behavior and analyze emotional EEG data to achieve a deeper understanding of consumer behavior.This paper aims to provide preliminary information on the role of AI in neuromarketing using the EEG technique in two dimensions: tracking and processing of the EEG brain signals.The research on the role of AI in neuromarketing using a systematic literature review method is conducted.In summary, the joint utilization of AI and EEG techniques in neuromarketing research can provide us with more insights into consumer behavior, thereby supporting better marketing strategies.

Authors

Publication Details

Journal
International Journal of Academic Research in Business and Social Sciences
Published
2024-12-13
DOI
https://doi.org/10.6007/ijarbss/v14-i12/24111
Citations
1
Primary Topic
Digital Media and Visual Art
Type
article
Field-Weighted Citation Impact
0.63

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Role and Application of Artificial Intelligence in Neuromarketing Research Based on Electroencephalography

Rohaizat Baharun, Nor Zafir Md Salleh, Samira Nazari Ghazvini, Elmira Nazari
1 citations
International Journal of Academic Research in Business and Social Sciences
Digital Media and Visual Art
0.63
article

The Role and Application of Artificial Intelligence in Neuromarketing Research Based on Electroencephalography

Rohaizat Baharun, Nor Zafir Md Salleh, Samira Nazari Ghazvini, Elmira Nazari
article en
1 citations

Abstract

Artificial Intelligence (AI) is a vital element of neuro-marketing research, which improves the process of identifying consumer preferences by using Electroencephalography technology.Employing AI algorithms allows marketers to record and decode brain signals elicited by marketing stimuli precisely.The synergy of AI and EEG in neuromarketing will bring about a revolution in the way marketers conduct research on consumer behavior.AI applications in neuromarketing are not limited to this; they also involve creating neural systems that adapt in real-time by collecting EEG data to alter marketing messages and content per consumer preferences.Moreover, AI can be employed to take over, simulate, and forecast consumer behavior and analyze emotional EEG data to achieve a deeper understanding of consumer behavior.This paper aims to provide preliminary information on the role of AI in neuromarketing using the EEG technique in two dimensions: tracking and processing of the EEG brain signals.The research on the role of AI in neuromarketing using a systematic literature review method is conducted.In summary, the joint utilization of AI and EEG techniques in neuromarketing research can provide us with more insights into consumer behavior, thereby supporting better marketing strategies.

International Journal of Academic Research in Business and Social SciencesVol. 14(12)
Universiti Teknologi Malaysia
Openalex Percentile: Top 17%
Digital Media and Visual Art
0.63
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The Role and Application of Artificial Intelligence in Neuromarketing Research Based on Electroencephalography — Rohaizat Baharun, Nor Zafir Md Salleh, et al. · International Journal of Academic Research in Business and Social Sciences (2024) | TGRS Research Map | TGRS