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Khondakar MFK, Sarowar MH, Chowdhury MH, Majumder S, Hossain MA, Dewan MAA, Hossain QD. A systematic review on EEG-based neuromarketing: recent trends and analyzing techniques. Brain Inform 2024; 11:17. [PMID: 38837089 PMCID: PMC11153447 DOI: 10.1186/s40708-024-00229-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Accepted: 05/25/2024] [Indexed: 06/06/2024] Open
Abstract
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 after by businesses looking to improve their marketing strategies by understanding what leaves a positive or negative impression on consumers. It has the potential to revolutionize the marketing industry by enabling companies to offer engaging experiences, create more effective advertisements, avoid the wrong marketing strategies, and ultimately save millions of dollars for businesses. Therefore, good documentation is necessary to capture the current research situation in this vital sector. In this article, we present a systematic review of EEG-based Neuromarketing. We aim to shed light on the research trends, technical scopes, and potential opportunities in this field. We reviewed recent publications from valid databases and divided the popular research topics in Neuromarketing into five clusters to present the current research trend in this field. We also discuss the brain regions that are activated when making purchase decisions and their relevance to Neuromarketing applications. The article provides appropriate illustrations of marketing stimuli that can elicit authentic impressions from consumers' minds, the techniques used to process and analyze recorded brain data, and the current strategies employed to interpret the data. Finally, we offer recommendations to upcoming researchers to help them investigate the possibilities in this area more efficiently in the future.
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Affiliation(s)
- Md Fazlul Karim Khondakar
- Department of Biomedical Engineering, Chittagong University of Engineering & Technology, Chittagong, Bangladesh
| | - Md Hasib Sarowar
- Department of Biomedical Engineering, Chittagong University of Engineering & Technology, Chittagong, Bangladesh
| | - Mehdi Hasan Chowdhury
- Department of Electrical & Electronic Engineering, Chittagong University of Engineering & Technology, Chittagong, Bangladesh.
| | - Sumit Majumder
- Department of Biomedical Engineering, Chittagong University of Engineering & Technology, Chittagong, Bangladesh
| | - Md Azad Hossain
- Department of Electronics & Telecommunication Engineering, Chittagong University of Engineering & Technology, Chittagong, Bangladesh
| | - M Ali Akber Dewan
- School of Computing and Information Systems, Faculty of Science and Technology, Athabasca University, Athabasca, AB, T9S 3A3, Canada
| | - Quazi Delwar Hossain
- Department of Electrical & Electronic Engineering, Chittagong University of Engineering & Technology, Chittagong, Bangladesh
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Kaneshiro B, Nguyen DT, Norcia AM, Dmochowski JP, Berger J. Inter-subject correlation of electroencephalographic and behavioural responses reflects time-varying engagement with natural music. Eur J Neurosci 2024; 59:3162-3183. [PMID: 38626924 DOI: 10.1111/ejn.16324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Revised: 02/28/2024] [Accepted: 03/07/2024] [Indexed: 06/15/2024]
Abstract
Musical engagement can be conceptualized through various activities, modes of listening and listener states. Recent research has reported that a state of focused engagement can be indexed by the inter-subject correlation (ISC) of audience responses to a shared naturalistic stimulus. While statistically significant ISC has been reported during music listening, we lack insight into the temporal dynamics of engagement over the course of musical works-such as those composed in the Western classical style-which involve the formulation of expectations that are realized or derailed at subsequent points of arrival. Here, we use the ISC of electroencephalographic (EEG) and continuous behavioural (CB) responses to investigate the time-varying dynamics of engagement with functional tonal music. From a sample of adult musicians who listened to a complete cello concerto movement, we found that ISC varied throughout the excerpt for both measures. In particular, significant EEG ISC was observed during periods of musical tension that built to climactic highpoints, while significant CB ISC corresponded more to declarative entrances and points of arrival. Moreover, we found that a control stimulus retaining envelope characteristics of the intact music, but little other temporal structure, also elicited significantly correlated EEG and CB responses, though to lesser extents than the original version. In sum, these findings shed light on the temporal dynamics of engagement during music listening and clarify specific aspects of musical engagement that may be indexed by each measure.
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Affiliation(s)
- Blair Kaneshiro
- Center for Computer Research in Music and Acoustics, Stanford University, Stanford, California, USA
- Center for the Study of Language and Information, Stanford University, Stanford, California, USA
- Graduate School of Education, Stanford University, Stanford, California, USA
| | - Duc T Nguyen
- Center for Computer Research in Music and Acoustics, Stanford University, Stanford, California, USA
- Center for the Study of Language and Information, Stanford University, Stanford, California, USA
| | - Anthony M Norcia
- Department of Psychology, Stanford University, Stanford, California, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, California, USA
| | - Jacek P Dmochowski
- Department of Biomedical Engineering, City College of New York, New York, New York, USA
| | - Jonathan Berger
- Center for Computer Research in Music and Acoustics, Stanford University, Stanford, California, USA
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Ntoumanis I, Davydova A, Sheronova J, Panidi K, Kosonogov V, Shestakova AN, Jääskeläinen IP, Klucharev V. Neural mechanisms of expert persuasion on willingness to pay for sugar. Front Behav Neurosci 2023; 17:1147140. [PMID: 36992860 PMCID: PMC10040640 DOI: 10.3389/fnbeh.2023.1147140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Accepted: 02/20/2023] [Indexed: 03/15/2023] Open
Abstract
Introduction: Sugar consumption is associated with many negative health consequences. It is, therefore, important to understand what can effectively influence individuals to consume less sugar. We recently showed that a healthy eating call by a health expert can significantly decrease the willingness to pay (WTP) for sugar-containing food. Here, we investigate which aspects of neural responses to the same healthy eating call can predict the efficacy of expert persuasion.Methods: Forty-five healthy participants performed two blocks of a bidding task, in which they had to bid on sugar-containing, sugar-free and non-edible products, while their electroencephalography (EEG) was recorded. In between the two blocks, they listened to a healthy eating call by a nutritionist emphasizing the risks of sugar consumption.Results: We found that after listening to the healthy eating call, participants significantly decreased their WTP for sugar-containing products. Moreover, a higher intersubject correlation of EEG (a measure of engagement) during listening to the healthy eating call resulted in a larger decrease in WTP for sugar-containing food. Whether or not a participant’s valuation of a product was highly influenced by the healthy eating call could also be predicted by spatiotemporal patterns of EEG responses to the healthy eating call, using a machine learning classification model. Finally, the healthy eating call increased the amplitude of the P300 component of the visual event-related potential in response to sugar-containing food.Disussion: Overall, our results shed light on the neural basis of expert persuasion and demonstrate that EEG is a powerful tool to design and assess health-related advertisements before they are released to the public.
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Affiliation(s)
- Ioannis Ntoumanis
- International Laboratory of Social Neurobiology, Institute for Cognitive Neuroscience, HSE University, Moscow, Russia
- *Correspondence: Ioannis Ntoumanis
| | - Alina Davydova
- International Laboratory of Social Neurobiology, Institute for Cognitive Neuroscience, HSE University, Moscow, Russia
| | - Julia Sheronova
- International Laboratory of Social Neurobiology, Institute for Cognitive Neuroscience, HSE University, Moscow, Russia
| | - Ksenia Panidi
- International Laboratory of Social Neurobiology, Institute for Cognitive Neuroscience, HSE University, Moscow, Russia
| | - Vladimir Kosonogov
- International Laboratory of Social Neurobiology, Institute for Cognitive Neuroscience, HSE University, Moscow, Russia
| | - Anna N. Shestakova
- International Laboratory of Social Neurobiology, Institute for Cognitive Neuroscience, HSE University, Moscow, Russia
| | - Iiro P. Jääskeläinen
- International Laboratory of Social Neurobiology, Institute for Cognitive Neuroscience, HSE University, Moscow, Russia
- Brain and Mind Laboratory, Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, Finland
| | - Vasily Klucharev
- International Laboratory of Social Neurobiology, Institute for Cognitive Neuroscience, HSE University, Moscow, Russia
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Leeuwis N, van Bommel T, Alimardani M. A framework for application of consumer neuroscience in pro-environmental behavior change interventions. Front Hum Neurosci 2022; 16:886600. [PMID: 36188183 PMCID: PMC9520489 DOI: 10.3389/fnhum.2022.886600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 08/23/2022] [Indexed: 11/15/2022] Open
Abstract
Most consumers are aware that climate change is a growing problem and admit that action is needed. However, research shows that consumers' behavior often does not conform to their value and orientations. This value-behavior gap is due to contextual factors such as price, product design, and social norms as well as individual factors such as personal and hedonic values, environmental beliefs, and the workload capacity an individual can handle. Because of this conflict of interest, consumers have a hard time identifying the true drivers of their behavior, as they are either unaware of or unwilling to acknowledge the processes at play. Therefore, consumer neuroscience methods might provide a valuable tool to uncover the implicit measurements of pro-environmental behavior (PEB). Several studies have already defined neurophysiological differences between green and non-green individuals; however, a behavior change intervention must be developed to motivate PEB among consumers. Motivating behavior with reward or punishment will most likely get users engaged in climate change action via brain structures related to the reward system, such as the amygdala, nucleus accumbens, and (pre)frontal cortex, where the reward information and subsequent affective responses are encoded. The intensity of the reward experience can be increased when the consumer is consciously considering the action to achieve it. This makes goal-directed behavior the potential aim of behavior change interventions. This article provides an extensive review of the neuroscientific evidence for consumer attitude, behavior, and decision-making processes in the light of sustainability incentives for behavior change interventions. Based on this review, we aim to unite the current theories and provide future research directions to exploit the power of affective conditioning and neuroscience methods for promoting PEB engagement.
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Affiliation(s)
- Nikki Leeuwis
- Department of Cognitive Science and Artificial Intelligence, Tilburg School of Humanities and Digital Sciences, Tilburg University, Tilburg, Netherlands
- Unravel Research, Utrecht, Netherlands
| | | | - Maryam Alimardani
- Department of Cognitive Science and Artificial Intelligence, Tilburg School of Humanities and Digital Sciences, Tilburg University, Tilburg, Netherlands
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