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Panteli A, Kalaitzi E, Fidas CA. A review on the use of eeg for the investigation of the factors that affect Consumer's behavior. Physiol Behav 2024; 278:114509. [PMID: 38485039 DOI: 10.1016/j.physbeh.2024.114509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 03/06/2024] [Accepted: 03/08/2024] [Indexed: 03/20/2024]
Abstract
This literature review surveys research papers that focused on the use of Electroencephalography (EEG) to study the impact of different factors in consumer behavior. The primary aim of this review is to determine which factors that affect consumer's behavior have already been evaluated in the existing literature and which remain unexplored. 118 papers are included in this survey. In order that the papers were analyzed in this review, a well-established neuromarketing experiment should have been performed indicating the methods of signals' acquisition, processing and analysis. The novelty of this work is that it considers and classifies not only research articles that studied a factor that influences consumers' choices, but also those that studied consumers' decisions as a result of the interactions that take place among the received marketing messages and the individual's internal or external environment. Findings indicated that the current approaches have mostly evaluated the effects of the promotional campaigns and product features to consumer's behavior. Also, it was shown that the effect of the interactions among different aspects that influence consumer behavior has not yet adequately been studied.
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Affiliation(s)
- Antiopi Panteli
- Department of Electrical and Computer Engineering, University of Patras, Patras, 26504, Greece.
| | - Eirini Kalaitzi
- Department of Electrical and Computer Engineering, University of Patras, Patras, 26504, Greece
| | - Christos A Fidas
- Department of Electrical and Computer Engineering, University of Patras, Patras, 26504, Greece
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Şekerci Y, Kahraman MU, Özturan Ö, Çelik E, Ayan SŞ. Neurocognitive responses to spatial design behaviors and tools among interior architecture students: a pilot study. Sci Rep 2024; 14:4454. [PMID: 38396070 PMCID: PMC10891056 DOI: 10.1038/s41598-024-55182-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 02/21/2024] [Indexed: 02/25/2024] Open
Abstract
The impact of emotions on human behavior is substantial, and the ability to recognize people's feelings has a wide range of practical applications including education. Here, the methods and tools of education are being calibrated according to the data gained over electroencephalogram (EEG) signals. The issue of which design tools would be ideal in the future of interior architecture education, is an uncertain field. It is important to measure the students' emotional states while using manual and digital design tools to determine the different impacts. Brain-computer interfaces have made it possible to monitor emotional states in a way that is both convenient and economical. In the research of emotion recognition, EEG signals have been employed, and the resulting literature explains basic emotions as well as complicated scenarios that are created from the combination of numerous basic emotions. The objective of this study is to investigate the emotional states and degrees of attachment experienced by interior architecture students while engaging in their design processes. This includes examining the use of 2D or 3D tools, whether manual or digital, and identifying any changes in design tool usage and behaviors that may be influenced by different teaching techniques. Accordingly, the hierarchical clustering which is a technique used in data analysis to group objects into a hierarchical structure of clusters based on their similarities has been conducted.
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Affiliation(s)
- Yaren Şekerci
- Interior Architecture and Environmental Design, Antalya Bilim University, Antalya, 07190, Turkey.
| | - Mehmet Uğur Kahraman
- Interior Architecture and Environmental Design, Antalya Bilim University, Antalya, 07190, Turkey
| | - Özgü Özturan
- Akdeniz University, Interior Architecture, Antalya, 07070, Turkey
| | - Ertuğrul Çelik
- Electrical and Computer Engineering, Antalya Bilim University, Antalya, 07190, Turkey
| | - Sevgi Şengül Ayan
- Industrial Engineering, Antalya Bilim University, Antalya, 07190, Turkey
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Cho E, Yoon SA, Park HJ. Neural processing of prototypicality and simplicity of product design in forming design preferences. PLoS One 2024; 19:e0297148. [PMID: 38241423 PMCID: PMC10798453 DOI: 10.1371/journal.pone.0297148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Accepted: 12/28/2023] [Indexed: 01/21/2024] Open
Abstract
The current study investigates the neural correlates when processing prototypicality and simplicity-affecting the preference of product design. Despite its significance, not much is known about how our brain processes these visual qualities of design when forming design preferences. We posit that, although fluency is the perceptual judgment accounting for the positive effects of both prototypicality and simplicity on design preference, the neural substrates for the fluency judgment associated with prototypicality would differ from those associated with simplicity. To investigate these issues, we conducted an fMRI study of preference decisions for actual product designs with different levels of prototypicality and simplicity. The results show a significant functional gradient between the preference processing of simplicity and prototypicality-i.e., involvement of the early ventral stream of visual information processing for simplicity evaluation but recruitment of the late ventral stream and parietal-frontal brain regions for prototypicality evaluation. The interaction between the simplicity and prototypicality evaluations was found in the extrastriate cortex in the right hemisphere. The segregated brain involvements suggest that the fluency judgment for prototypicality and simplicity contribute to preference choice in different levels of cognitive hierarchy in the perceptual mechanism of the design preference.
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Affiliation(s)
- Erin Cho
- School of Fashion and Textiles, The Hong Kong Polytechnic University, Kowloon, Hong Kong
| | - Shin-Ae Yoon
- Department of Media and Communication, Konkuk University, Seoul, South Korea
- Department of Cognitive Science, Yonsei University, Seoul, South Korea
| | - Hae-Jeong Park
- Department of Cognitive Science, Yonsei University, Seoul, South Korea
- Department of Nuclear Medicine, Department of Psychiatry, Graduate School of Medical Science, Brain Korea 21 Project, Yonsei University College of Medicine, Seoul, South Korea
- Institute of Human Complexity and Systems Science, Center for Systems and Translational Brain Sciences, InYonsei University, Seoul, Republic of Korea
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Byrne A, Bonfiglio E, Rigby C, Edelstyn N. A systematic review of the prediction of consumer preference using EEG measures and machine-learning in neuromarketing research. Brain Inform 2022; 9:27. [PMCID: PMC9663791 DOI: 10.1186/s40708-022-00175-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 09/15/2022] [Indexed: 11/16/2022] Open
Abstract
Abstract
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 of customer preference in neuromarketing. The review investigated which TF effect (e.g., theta-band power), and ERP component (e.g., N400) was most consistently reflective of self-reported preference. Machine-learning prediction also investigated, along with the use of EEG when combined with physiological measures such as eye-tracking.
Methods
Search terms ‘neuromarketing’ and ‘consumer neuroscience’ identified papers that used EEG measures. Publications were excluded if they were primarily written in a language other than English or were not published as journal articles (e.g., book chapters). 174 papers were included in the present review.
Results
Frontal alpha asymmetry (FAA) was the most reliable TF signal of preference and was able to differentiate positive from negative consumer responses. Similarly, the late positive potential (LPP) was the most reliable ERP component, reflecting conscious emotional evaluation of products and advertising. However, there was limited consistency across papers, with each measure showing mixed results when related to preference and purchase behaviour.
Conclusions and implications
FAA and the LPP were the most consistent markers of emotional responses to marketing stimuli, consumer preference and purchase intention. Predictive accuracy of FAA and the LPP was greatly improved through the use of machine-learning prediction, especially when combined with eye-tracking or facial expression analyses.
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Cai J, Jacob S, Kurupi R, Dalton KM, Coon C, Greninger P, Egan RK, Stein GT, Murchie E, McClanaghan J, Adachi Y, Hirade K, Dozmorov M, Glod J, Boikos SA, Ebi H, Hao H, Caponigro G, Benes CH, Faber AC. High-risk neuroblastoma with NF1 loss of function is targetable using SHP2 inhibition. Cell Rep 2022; 40:111095. [PMID: 35905710 DOI: 10.1016/j.celrep.2022.111095] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Revised: 12/04/2021] [Accepted: 06/23/2022] [Indexed: 12/19/2022] Open
Abstract
Reoccurring/high-risk neuroblastoma (NB) tumors have the enrichment of non-RAS/RAF mutations along the mitogen-activated protein kinase (MAPK) signaling pathway, suggesting that activation of MEK/ERK is critical for their survival. However, based on preclinical data, MEK inhibitors are unlikely to be active in NB and have demonstrated dose-limiting toxicities that limit their use. Here, we explore an alternative way to target the MAPK pathway in high-risk NB. We find that NB models are among the most sensitive among over 900 tumor-derived cell lines to the allosteric SHP2 inhibitor SHP099. Sensitivity to SHP099 in NB is greater in models with loss or low expression of the RAS GTPase activation protein (GAP) neurofibromin 1 (NF1). Furthermore, NF1 is lower in advanced and relapsed NB and NF1 loss is enriched in high-risk NB tumors regardless of MYCN status. SHP2 inhibition consistently blocks tumor growth in high-risk NB mouse models, revealing a new drug target in relapsed NB.
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Affiliation(s)
- Jinyang Cai
- Philips Institute for Oral Health Research, School of Dentistry, and Massey Cancer Center, Virginia Commonwealth University, Richmond, VA 23298, USA
| | - Sheeba Jacob
- Philips Institute for Oral Health Research, School of Dentistry, and Massey Cancer Center, Virginia Commonwealth University, Richmond, VA 23298, USA
| | - Richard Kurupi
- Philips Institute for Oral Health Research, School of Dentistry, and Massey Cancer Center, Virginia Commonwealth University, Richmond, VA 23298, USA
| | - Krista M Dalton
- Philips Institute for Oral Health Research, School of Dentistry, and Massey Cancer Center, Virginia Commonwealth University, Richmond, VA 23298, USA
| | - Colin Coon
- Philips Institute for Oral Health Research, School of Dentistry, and Massey Cancer Center, Virginia Commonwealth University, Richmond, VA 23298, USA
| | - Patricia Greninger
- Center for Cancer Research, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Regina K Egan
- Center for Cancer Research, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Giovanna T Stein
- Center for Cancer Research, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Ellen Murchie
- Center for Cancer Research, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Joseph McClanaghan
- Center for Cancer Research, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Yuta Adachi
- Division of Molecular Therapeutics, Aichi Cancer Center Research Institute, Nagoya, Aichi 464-8681, Japan
| | - Kentaro Hirade
- Division of Molecular Therapeutics, Aichi Cancer Center Research Institute, Nagoya, Aichi 464-8681, Japan
| | - Mikhail Dozmorov
- Department of Biostatistics, Virginia Commonwealth University, Richmond, VA 23298, USA
| | - John Glod
- National Cancer Institute, Pediatric Branch, Oncology, Bethesda, MD, USA
| | - Sosipatros A Boikos
- Department of Medicine, Virginia Commonwealth University, Richmond, VA 23298, USA
| | - Hiromichi Ebi
- Division of Molecular Therapeutics, Aichi Cancer Center Research Institute, Nagoya, Aichi 464-8681, Japan
| | - Huaixiang Hao
- Novartis Institute for Biological Research, 250 Massachusetts Avenue, Cambridge, MA 02139, USA
| | - Giordano Caponigro
- Novartis Institute for Biological Research, 250 Massachusetts Avenue, Cambridge, MA 02139, USA
| | - Cyril H Benes
- Center for Cancer Research, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.
| | - Anthony C Faber
- Philips Institute for Oral Health Research, School of Dentistry, and Massey Cancer Center, Virginia Commonwealth University, Richmond, VA 23298, USA.
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Goto N, Lim XL, Shee D, Hatano A, Khong KW, Buratto LG, Watabe M, Schaefer A. Can Brain Waves Really Tell If a Product Will Be Purchased? Inferring Consumer Preferences From Single-Item Brain Potentials. Front Integr Neurosci 2019; 13:19. [PMID: 31316357 PMCID: PMC6611214 DOI: 10.3389/fnint.2019.00019] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2019] [Accepted: 06/05/2019] [Indexed: 11/13/2022] Open
Abstract
Recent research has shown that event-related brain potentials (ERPs) recorded while participants view lists of different consumer goods can be modulated by their preferences toward these products. However, it remains largely unknown whether ERP activity specific to a single consumer item can be informative about whether or not this item will be preferred in a shopping context. In this study, we examined whether single-item ERPs could reliably predict consumer preferences toward specific consumer goods. We recorded scalp EEG from 40 participants while they were viewing pictures of consumer goods and we subsequently asked them to indicate their preferences for each of these items. Replicating previous results, we found that ERP activity averaged over the six most preferred products was significantly differentiated from ERP activity averaged across the six least preferred products for three ERP components: The N200, the late positive potential (LPP) and positive slow waves (PSW). We also found that using single-item ERPs to infer behavioral preferences about specific consumer goods led to an overall predictive accuracy of 71%, although this figure varied according to which ERPs were targeted. Later positivities such as the LPP and PSW yielded relatively higher predictive accuracy rates than the frontal N200. Our results suggest that ERPs related to single consumer items can be relatively accurate predictors of behavioral preferences depending on which type of ERP effects are chosen by the researcher, and ultimately on the level of prediction errors that users choose to tolerate.
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Affiliation(s)
- Nobuhiko Goto
- Department of Psychology, Kyoto Notre Dame University, Kyoto, Japan
- School of Business, Monash University Malaysia, Bandar Sunway, Malaysia
| | - Xue Li Lim
- School of Business, Monash University Malaysia, Bandar Sunway, Malaysia
- Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Jülich Research Center, Jülich, Germany
| | - Dexter Shee
- Department of Psychology, Monash University Malaysia, Bandar Sunway, Malaysia
| | - Aya Hatano
- Kochi University of Technology, Kami, Japan
- Japan Society for the Promotion of Science, Tokyo, Japan
| | - Kok Wei Khong
- School of Marketing, Faculty of Business and Law, Taylor’s University Malaysia, Subang Jaya, Malaysia
| | | | - Motoki Watabe
- School of Business, Monash University Malaysia, Bandar Sunway, Malaysia
| | - Alexandre Schaefer
- Department of Psychology, Monash University Malaysia, Bandar Sunway, Malaysia
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