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Technological advancements and opportunities in Neuromarketing: a systematic review
2020
Brain Informatics
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Neuromarketing has become an academic and commercial area of interest, as the advancements in neural recording techniques and interpreting algorithms have made it an effective tool for recognizing the ...
The use of electroencephalogram (EEG) is found favorable by many researchers over functional magnetic resonance imaging (fMRI) in video advertisement-based Neuromarketing experiments, apparently due to ...
Acknowledgements Not applicable. ...
doi:10.1186/s40708-020-00109-x
pmid:32955675
pmcid:PMC7505913
fatcat:a2ofnavca5crpnshdwz6fn56ba
Neuromarketing Solutions based on EEG Signal Analysis using Machine Learning
2022
International Journal of Advanced Computer Science and Applications
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Volunteers of various ages were exposed to a variety of consumer products, and their EEG signals and product preferences were recorded. ...
"Neuromarketing" refers to the use of unconscious mechanisms to determine customer preferences for decision-making and behavior prediction. ...
The author claimed that it has boosted the effectiveness of modern recommender systems and force traditional ecommerce applications to adapt [8] . ...
doi:10.14569/ijacsa.2022.0130137
fatcat:kqrqiinkobda7mvgydbesyfgoi
Unlocking the Subconscious Consumer Bias: A Survey on the Past, Present, and Future of Hybrid EEG Schemes in Neuromarketing
2021
Frontiers in Neuroergonomics
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The exploitation of hybrid EEG schemes (e.g., combining EEG with eye-tracking, electrodermal activity, heart rate, and/or other) is ever growing and will hopefully allow neuromarketing to uncover consumers ...
and briefly discuss the omni-present ethical scepticizm related to neuromarketing. ...
In the context of neuromarketing, the analysis of EEG recordings typically involves, but is not limited to, (i) spectral analysis; where the frequency characteristics of the multivariate signal are studied ...
doi:10.3389/fnrgo.2021.672982
fatcat:pbjpto354bblrcood2knpqkeqq
Recognition of Consumer Preference by Analysis and Classification EEG Signals
2021
Frontiers in Human Neuroscience
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Neuromarketing has gained attention to bridge the gap between conventional marketing studies and electroencephalography (EEG)-based brain-computer interface (BCI) research. ...
In this study, We examined preference detection of neuromarketing dataset using different feature combinations of EEG indices and different algorithms for feature extraction and classification. ...
ACKNOWLEDGMENTS The authors would like to thank the deanship of scientific research for funding and supporting this research through the initiative of DSR Graduate Students Research Support (GSR) at King ...
doi:10.3389/fnhum.2020.604639
pmid:33519402
pmcid:PMC7838383
fatcat:wfyyr52hozdrtemkfmoidyc7aq
Detection of Consumer Preferences Using EEG Signals
2020
International Journal of Applied Mathematics Electronics and Computers
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Article history: In this study, a liking estimation system based on electroencephalogram (EEG) signals is developed for neuromarketing applications. ...
The signals corresponding to these different video regions from the EEG recordings were segmented and analyzed by the Empirical Mode Decomposition (EMD) and Ensemble Empirical Mode Decomposition (EEMD) ...
Preferences Using EEG Signals". ...
doi:10.18100/ijamec.802214
fatcat:xfasmribzrg5tep4wcycs7ar6a
Decision-Making Analysis using Arduino-Based Electroencephalography (EEG): An Exploratory Study for Marketing Strategy
2020
International Journal of Advanced Computer Science and Applications
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A 2-channel Arduinobased EEG device from Backyard Brains and Spike Recorder software was used to analyze the EEG signal through Fast Fourier Transform (FFT) method. ...
This research uncovers the neuroscientific approach, particularly through the use of an EEG device; examining consumers' responses in terms of brain wave signals and cognition. ...
ACKNOWLEDGMENT The authors would like to acknowledge the contributions of the anonymous reviewers whose valuable comments and insightful suggestions led to the improvement of the preliminary version of ...
doi:10.14569/ijacsa.2020.0110927
fatcat:dix57ti2vrc7tk5ovae75iqbee
Deep Learning for EEG-Based Preference Classification in Neuromarketing
2020
Applied Sciences
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Therefore, in this work, a deep-learning approach is adopted to detect the consumer preferences by using EEG signals from the DEAP dataset by considering the power spectral density and valence features ...
Another gap in neuromarketing research is the lack of extensive data-mining approaches for the prediction and classification of the consumer preferences. ...
Acknowledgments: The authors would like to thank the deanship of scientific research for funding and supporting this research through the initiative of DSR Graduate Students Research Support (GSR) at King ...
doi:10.3390/app10041525
fatcat:qciu4lro5fa3vjpdchealg5wd4
The Relationship between the Applicability of Neuromarketing and Competitiveness: An Applied Study on Real-Estate Marketing Companies in Egypt
2020
Open Journal of Business and Management
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technical factors, that contributes to the application of neuromarketing and competitiveness in real estate marketing sector. ...
requirements and factors associated with the marketing activity related to the application of neuromarketing and competitiveness in real estate marketing companies, and to identify the relationship between ...
Conflicts of Interest The authors declare no conflicts of interest regarding the publication of this paper. ...
doi:10.4236/ojbm.2020.85123
fatcat:7nprasoihvhwhdzlswanuneo4u
Like/Dislike Prediction for Sport Shoes With Electroencephalography: An Application of Neuromarketing
2022
Frontiers in Human Neuroscience
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However, the current EEG prediction and classification accuracy have yet to reach ideal level. ...
Future work would be done to correlate the EEG-based like or dislike prediction results with product sales and self-reports. ...
LZ, ML, and HZ wrote part of the manuscript. All authors contributed to the article and approved the submitted version. ...
doi:10.3389/fnhum.2021.793952
pmid:35069157
pmcid:PMC8770276
fatcat:bx52dk2jkzbvbn73qjzym4ymui
Accessing Neuromarketing Scientific Performance: Research Gaps and Emerging Topics
2022
Behavioral Sciences
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In terms of originality, this study is the first to apply SciVal topic prominence to a bibliometric analysis of neuromarketing, and provides a new bibliometric indicator for neuromarketing research. ...
The findings provide a better understanding of the state-of-the-art in neuromarketing studies, research gaps, and emerging research topics, and additionally provide a new methodological contribution by ...
Fujita and Touyama (2017) Methodology improvement Audio EEG, eye tracking (EOG signals) multimedia content evaluation based on collaborative P300 signals in order to improve accuracy Libert and Van Hulle ...
doi:10.3390/bs12020055
pmid:35200306
pmcid:PMC8868783
fatcat:ygfx4slwlbakzj6n5ylvudzlsy
Neuroimaging Techniques in Advertising Research: Main Applications, Development, and Brain Regions and Processes
2021
Sustainability
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In this article, we have followed a literature review methodology and a bibliometric analysis to select empirical and review papers that employed neuroimaging tools in advertising campaigns and to understand ...
Despite the advancement in neuroimaging tools, studies about using neuroimaging tools to study the impact of advertising on brain regions and processes are scant and remain unclear in academic literature ...
Conflicts of Interest: The authors of this manuscript declare that they have no conflict of interest concerning its drafting, publication, or application. ...
doi:10.3390/su13116488
fatcat:tzchduquybf5rotao2tercxizm
NEURO MARKETING: A TOOL TO UNDERSTAND CONSUMER PSYCHOLOGY
2020
International Journal of Technical Research & Science
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A multitude of techniques have been discovered for these researches, including Eye Tracking, EEG, fMRI, Galvanic skin Response, and Face Emotion Analysis. ...
The field is gaining rapid credibility and adoption among advertising and marketing professionals, controversial to when it first emerged in 2002. ...
However, it lacks good spatial resolution, meaning the source of the brain signal recorded by the EEG is hard to locate exactly in the brain. ...
doi:10.30780/ijtrs.v05.i06.002
fatcat:cw3yxfczi5gmxakjn5xuvuvuyq
What Can Neuromarketing Tell Us about Food Packaging?
2020
Foods
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Obtained results shed light on the application of neuromarketing techniques in the evaluation of food packaging and reveal that neuromarketing and declarative methodologies are complementary, and its combination ...
The application of neuromarketing techniques to the study of food packaging has recently gained considerable popularity both in academia and practice, but there are still some concerns about the methods ...
Acknowledgments: The authors would like to thank Bit-Brain S.L. for their technological assistance and support.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/foods9121856
pmid:33322684
fatcat:trzixh6pvzcmhjdwxrusyyjbmy
Neuromarketing: Applications, Challenges and Promises
2018
Biomedical Journal of Scientific & Technical Research
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Neuromarketing employs several techniques and tools for analysis of inside\outside reflexes of the consumer's brain and it avails the latest cognitive scanning techniques for analysis. ...
Neuromarketing is a field of marketing research that studies consumers' sensorimotor, cognitive, and affective response to marketing stimuli. ...
EEG uses electrodes to record electronic signals of brain activity [8, 5, 19, 22] . The electrodes can be attached to the skull. It can make recordings of around 40 minutes. ...
doi:10.26717/bjstr.2018.12.002230
fatcat:7cxy4lgmmraltbihvag4zbbmh4
Recent Trends in Neuro marketing – An Exploratory Study
2022
Zenodo
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The core idea of the paper is to understand the concept of Neuromarketing and its influence on customers' decision-making process. ...
It will help to determine what the customer wants, what services he likes, and how to draw the consumer's attention. ...
APPLICATIONS OF NEUROMARKETING : Neuromarketing is largely used to determine the preferences of customers. ...
doi:10.5281/zenodo.5978946
fatcat:vp5lyzvpsbgrrihuvdpnq2t47e
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