Picking Your Brains: Where and How Neuroscience Tools Can Enhance Marketing Research

The use of neuroscience tools to study consumer behavior and the decision making process in marketing has improved our understanding of cognitive, neuronal, and emotional mechanisms related to marketing-relevant behavior. However, knowledge about neuroscience tools that are used in consumer neuroscience research is scattered. In this article, we present the results of a literature review that aims to provide an overview of the available consumer neuroscience tools and classifies them according to their characteristics. We analyse a total of 219 full-texts in the area of consumer neuroscience. Our findings suggest that there are seven tools that are currently used in consumer neuroscience research. In particular, electroencephalography (EEG) and eye tracking (ET) are the most commonly used tools in the field. We also find that consumer neuroscience tools are used to study consumer preferences and behaviors in different marketing domains such as advertising, branding, online experience, pricing, product development and product experience. Finally, we identify two ready-to-use platforms, namely iMotions and GRAIL that can help in integrating the measurements of different consumer neuroscience tools simultaneously. Measuring brain activity and physiological responses on a common platform could help by (1) reducing time and costs for experiments and (2) linking cognitive and emotional aspects with neuronal processes. Overall, this article provides relevant input in setting directions for future research and for business applications in consumer neuroscience. We hope that this study will provide help to researchers and practitioners in identifying available, non-invasive and useful tools to study consumer behavior.

[1]  G. Vecchiato,et al.  Understanding the Impact of TV Commercials: Electrical Neuroimaging , 2012, IEEE Pulse.

[2]  David Airey,et al.  Logo Design Love: A Guide to Creating Iconic Brand Identities , 2009 .

[3]  G. McArthur,et al.  Validation of the Emotiv EPOC® EEG gaming system for measuring research quality auditory ERPs , 2013, PeerJ.

[4]  A. Blasi,et al.  Illuminating the developing brain: The past, present and future of functional near infrared spectroscopy , 2010, Neuroscience & Biobehavioral Reviews.

[5]  D. Blackwood,et al.  Cognitive Brain Potentials and their Application , 1990, British Journal of Psychiatry.

[6]  A. Choromańska,et al.  Analysis of Neurophysiological Reactions to Advertising Stimuli by Means of EEG and Galvanic Skin Response Measures , 2009 .

[7]  Matthias J. Wieser,et al.  Auditory cortex activation is modulated by emotion: A functional near-infrared spectroscopy (fNIRS) study , 2011, NeuroImage.

[8]  Yao-Chu Chiu,et al.  Medial frontal activity in brand-loyal consumers: A behavior and near-infrared ray study , 2010 .

[9]  Antonie J. van den Bogert,et al.  A real-time system for biomechanical analysis of human movement and muscle function , 2013, Medical & Biological Engineering & Computing.

[10]  Inge Geyskens,et al.  What Makes Consumers Willing to Pay a Price Premium for National Brands over Private Labels? , 2010 .

[11]  Leon Zurawicki,et al.  Neuromarketing: Exploring the Brain of the Consumer , 2010 .

[12]  Judith Lynne Zaichkowsky,et al.  How we relate to brands: Psychological and neurophysiological insights into consumer–brand relationships , 2012 .

[13]  Efthymios Constantinides,et al.  Towards a Better Understanding of Consumer Behaviour: Marginal Utility as a Parameter in Neuromarketing Research , 2017 .

[14]  Park Thaichon,et al.  Emotion and advertising effectiveness: A novel facial expression analysis approach , 2017 .

[15]  Daniella Ryding,et al.  Measuring Consumer Engagement in the Brain to Online Interactive Shopping Environments , 2018 .

[16]  Natalie L. Denburg,et al.  The Role of the Ventromedial Prefrontal Cortex in Purchase Intent Among Older Adults , 2016, Front. Aging Neurosci..

[17]  Hilke Plassmann,et al.  Branding the brain: A critical review and outlook , 2012 .

[18]  L. Pilelienė,et al.  Relationship between Spokesperson’s Gender and Advertising Color Temperature in a Framework of Advertising Effectiveness , 2017 .

[19]  Fabio Babiloni,et al.  Electronic evaluation for video commercials by impression index , 2013, Cognitive Neurodynamics.

[20]  W. Nique,et al.  The role of musical priming in brand recall , 2019, Asia Pacific Journal of Marketing and Logistics.

[21]  Scott A. Huettel,et al.  Consumer Neuroscience: Applications, Challenges, and Possible Solutions , 2015 .

[22]  A. Kuusik,et al.  The Effect of Culture on the Perception of Product Packaging: A Multimethod Cross-Cultural Study , 2020, Journal of International Consumer Marketing.

[23]  Qingguo Ma,et al.  Event-related potential N270 correlates of brand extension , 2007, Neuroreport.

[24]  Chutima Ruanguttamanun,et al.  Neuromarketing: I Put Myself into a fMRI Scanner and Realized that I love Louis Vuitton Ads☆ , 2014 .

[25]  Michael Brammer,et al.  Brain scam? , 2004, Nature Neuroscience.

[26]  D. Fugate Marketing services more effectively with neuromarketing research: a look into the future , 2008 .

[27]  Samuel M. McClure,et al.  Neural Correlates of Behavioral Preference for Culturally Familiar Drinks , 2004, Neuron.

[28]  Liwei Hsu,et al.  Music and wine tasting: an experimental neuromarketing study , 2019, British Food Journal.

[29]  Adriane B. Randolph,et al.  Bringing Advertising Closer to Mind: Using Neurophysiological Tools to Understand Student Responses to Super Bowl Commercials , 2015, 2015 48th Hawaii International Conference on System Sciences.

[30]  Yang Wang,et al.  Using galvanic skin response for cognitive load measurement in arithmetic and reading tasks , 2012, OZCHI.

[31]  Du-Jian Gang,et al.  Neuromarketing: Marketing through Science , 2012, 2012 International Joint Conference on Service Sciences.

[32]  Terry L. Childers,et al.  The shopping brain: Math anxiety modulates brain responses to buying decisions , 2012, Biological Psychology.

[33]  A Case Study in Neuromarketing: Analysis of the Influence of Music on Advertising Effectivenes through Eye-Tracking, Facial Emotion and GSR , 2018, European Journal of Social Science Education and Research.

[34]  Debi Prosad Dogra,et al.  Analysis of EEG signals and its application to neuromarketing , 2017, Multimedia Tools and Applications.

[35]  Colour and Light , 1980 .

[36]  M.K.M. Amin,et al.  ELECTROENCEPHALOGRAPHY (EEG) APPLICATION IN NEUROMARKETING-EXPLORING THE SUBCONSCIOUS MIND , 2019 .

[37]  Enrique Bigné,et al.  Elapsed time on first buying triggers brand choices within a category: A virtual reality-based study , 2016 .

[38]  M. Herrmann,et al.  Multi-channel near-infrared spectroscopy detects specific inferior-frontal activation during incongruent Stroop trials , 2005, Biological Psychology.

[39]  Joseph G. Johnson,et al.  Pupil Dilation and Eye Tracking , 2011 .

[40]  Laura Astolfi,et al.  The added value of the electrical neuroimaging for the evaluation of marketing stimuli , 2012 .

[41]  Satyendra Singh Impact of color on marketing , 2006 .

[42]  Vincent G. Duffy,et al.  Applying eye tracking and electroencephalography to evaluate the effects of placement disclosures on brand responses , 2018, Journal of Consumer Behaviour.

[43]  A. Ehlis,et al.  Prefrontal activation patterns of automatic and regulated approach–avoidance reactions – A functional near-infrared spectroscopy (fNIRS) study , 2013, Cortex.

[44]  Lin Wang,et al.  My destination in your brain: A novel neuromarketing approach for evaluating the effectiveness of destination marketing , 2016 .

[45]  M. Murugappan,et al.  Wireless EEG signals based Neuromarketing system using Fast Fourier Transform (FFT) , 2014, 2014 IEEE 10th International Colloquium on Signal Processing and its Applications.

[46]  A. Greenwald,et al.  Measuring individual differences in implicit cognition: the implicit association test. , 1998, Journal of personality and social psychology.

[47]  Stephan G.H. Meyerding,et al.  Can neuromarketing add value to the traditional marketing research? An exemplary experiment with functional near-infrared spectroscopy (fNIRS) , 2020 .

[48]  Judith Lynne Zaichkowsky,et al.  Novel versus familiar brands: An analysis of neurophysiology, response latency, and choice , 2012, Marketing Letters.

[49]  A. Keshavarzsaleh,et al.  On the hierarchy of choice: An applied neuroscience perspective on the AIDA model , 2017 .

[50]  R. Oliver Whence Consumer Loyalty? , 1999 .

[51]  Christophe Morin,et al.  Neuromarketing: The New Science of Consumer Behavior , 2011 .

[52]  S. Woolgar,et al.  Neuroscience beyond the laboratory: Neuro knowledges, technologies and markets , 2015 .

[53]  Anna Dreber,et al.  AMERICAN ASSOCIATION OF WINE ECONOMISTS AAWE WORKING PAPER No . 35 Economics WHEN DOES THE PRICE AFFECT THE TASTE ? RESULTS FROM A WINE EXPERIMENT , 2009 .

[54]  Shah Seema,et al.  Methods of Neuromarketing and Implication of the Frontal Theta Asymmetry induced due to musical stimulus as choice modeling , 2018 .

[55]  Joseph Ciorciari,et al.  Consumer neuroscience for marketing researchers , 2018 .

[56]  J. Guixeres,et al.  Consumer Neuroscience-Based Metrics Predict Recall, Liking and Viewing Rates in Online Advertising , 2017, Front. Psychol..

[57]  Hiroshi Shibasaki,et al.  A revised glossary of terms most commonly used by clinical electroencephalographers and updated proposal for the report format of the EEG findings. Revision 2017 , 2017, Clinical neurophysiology practice.

[58]  Terry Daugherty,et al.  Measuring consumer neural activation to differentiate cognitive processing of advertising , 2018 .

[59]  Peter Kenning,et al.  The application of mobile fNIRS to “shopper neuroscience” – first insights from a merchandising communication study , 2018 .

[60]  O. C. Ferrell Marketing Strategy, Text and Cases , 2001 .

[61]  Juan Sánchez-Fernández,et al.  The contribution of neuroscience to consumer research: A conceptual framework and empirical review , 2013 .

[62]  F. Muñoz-Leiva,et al.  Sparking interest in restaurant dishes? Cognitive and affective processes underlying dish design and ecological origin. An fMRI study , 2019, Physiology & Behavior.

[63]  Chris Berka,et al.  Comparison of Medical and Consumer Wireless EEG Systems for Use in Clinical Trials , 2017, Front. Hum. Neurosci..

[64]  PerlovskyLeonid 2009 Special Issue , 2009 .

[65]  Claudio Lucchiari,et al.  The Effect of Brand on EEG Modulation , 2012 .

[66]  Arturas Kaklauskas,et al.  INVAR Neuromarketing Method and System , 2019 .

[67]  H. Berger Über das Elektrenkephalogramm des Menschen , 1929, Archiv für Psychiatrie und Nervenkrankheiten.

[68]  M. Murray,et al.  An Introductory Guide to Organizational Neuroscience , 2018, Organizational Research Methods.

[69]  Sam O. Al-Kwifi The role of fMRI in detecting attitude toward brand switching: an exploratory study using high technology products , 2016 .

[70]  M. Mauri,et al.  Neuromarketing empirical approaches and food choice: A systematic review. , 2017, Food research international.

[71]  José L. Ruiz-Alba,et al.  Gamification and online consumer decisions: Is the game over? , 2020, Decis. Support Syst..

[72]  Scott A. Huettel,et al.  Translating upwards: linking the neural and social sciences via neuroeconomics , 2012, Nature Reviews Neuroscience.

[73]  Efthymios Constantinides,et al.  Consumers' Cognitive, Emotional and Behavioral Responses towards Background Music: An EEG Study , 2019, WEBIST.

[74]  N. Vickers,et al.  Animal Communication: When I’m Calling You, Will You Answer Too? , 2017, Current Biology.

[75]  Luis Gonzalez-Abril,et al.  Discrete classification technique applied to TV advertisements liking recognition system based on low-cost EEG headsets , 2016, Biomedical engineering online.

[76]  S. Rossi,et al.  Safety, ethical considerations, and application guidelines for the use of transcranial magnetic stimulation in clinical practice and research , 2009, Clinical Neurophysiology.

[77]  P. Walla,et al.  Established liked versus disliked brands: Brain activity, implicit associations and explicit responses , 2016 .

[78]  A. Choromańska,et al.  Application of frontal EEG asymmetry to advertising research , 2010 .

[79]  K. Miyagawa,et al.  Predictability of investment behavior from brain information measured by functional near-infrared spectroscopy: A bayesian neural network model , 2009, Neuroscience.

[80]  T. Bettina Cornwell,et al.  A Review of Methods Utilized in Measuring Affect, Feelings, and Emotion in Advertising , 1991 .

[81]  J. Ciorciari,et al.  Looking beyond traditional measures of advertising impact: Using neuroscientific methods to evaluate social marketing messages , 2019, Journal of Business Research.

[82]  Richard T. Watson,et al.  Analyzing the Past to Prepare for the Future: Writing a Literature Review , 2002, MIS Q..

[83]  Jon D. Morris,et al.  Decoding Neural Responses To Emotion in Television Commercials , 2016, Journal of Advertising Research.

[84]  Gargi Bhaduri,et al.  Disheartened consumers: impact of malevolent apparel business practices on consumer’s heart rates, perceived trust, and purchase intention , 2014, Fashion and Textiles.

[85]  Mark G. Grotefend The Perception Is... , 2009 .

[86]  The effect of positive arousal on working memory , 2011 .

[87]  N. A. Shaharuddin,et al.  Analysis methods of EEG signals: A review in EEG application for brain disorder , 2015 .

[88]  D. Aprile,et al.  A low‐cost, user‐friendly electroencephalographic recording system for the assessment of hepatic encephalopathy , 2016, Hepatology.

[89]  Shinobu Kitayama,et al.  Advancing consumer neuroscience , 2014 .

[90]  Michael S. Minor,et al.  Validity, reliability, and applicability of psychophysiological techniques in marketing research , 2008 .

[91]  Adriano Rogeri Bruno Tech,et al.  Public policies and selective visual attention: the effectiveness of awareness messages among young people about the consumption of alcoholic beverages in Brazil , 2015 .

[92]  Francisco Muñoz-Leiva,et al.  Measuring advertising effectiveness in Travel 2.0 websites through eye-tracking technology , 2019, Physiology & Behavior.

[93]  Murat Perit Çakir,et al.  An investigation of the neural correlates of purchase behavior through fNIRS , 2018 .

[94]  C. Fisher,et al.  Defining Neuromarketing: Practices and Professional Challenges , 2010, Harvard review of psychiatry.

[95]  Duane Varan,et al.  Using the P3a to gauge automatic attention to interactive television advertising , 2010 .

[96]  Fabio Babiloni,et al.  Neurophysiological Measurements of Memorization and Pleasantness in Neuromarketing Experiments , 2010, COST 2102 Conference.

[97]  Oscar Barquero-Perez,et al.  Evaluation of Emotional Responses to Television Advertising through Neuromarketing , 2017 .

[98]  Ale Smidts,et al.  Brain Responses to Movie Trailers Predict Individual Preferences for Movies and Their Population-Wide Commercial Success , 2015 .

[99]  J. Zaichkowsky,et al.  Aesthetic package design: A behavioral, neural, and psychological investigation , 2010 .

[100]  M.K.M. Amin,et al.  EVALUATING NEUROMARKETING TECHNIQUE ON CONSUMER SATISFACTION USING EEG IMAGING , 2019 .

[101]  C. Dobek,et al.  Risk of seizures in transcranial magnetic stimulation: a clinical review to inform consent process focused on bupropion , 2015, Neuropsychiatric disease and treatment.

[102]  Niels Birbaumer,et al.  Hemodynamic brain-computer interfaces for communication and rehabilitation , 2009, Neural Networks.

[103]  B. Sung,et al.  What can neuroscience offer marketing research? , 2019, Asia Pacific Journal of Marketing and Logistics.

[104]  A. Dimoka,et al.  Culture Differences, Difficulties, and Challenges of the Neurophysiological Methods in Marketing Research , 2015 .

[105]  Masa-aki Sato,et al.  Single-trial reconstruction of finger-pinch forces from human motor-cortical activation measured by near-infrared spectroscopy (NIRS) , 2009, NeuroImage.

[106]  Veit Etzold,et al.  Eye Tracking as a Method of Neuromarketing for Attention Research - An Empirical Analysis Using the Online Appointment Booking Platform from Mercedes-Benz , 2019, KES-IDT.

[107]  Hilke Plassmann,et al.  Nonlinear Responses Within the Medial Prefrontal Cortex Reveal When Specific Implicit Information Influences Economic Decision Making , 2005, Journal of neuroimaging : official journal of the American Society of Neuroimaging.

[108]  A. Dimoka,et al.  Consumer Processing of Online Trust Signals: A Neuroimaging Study , 2019, Journal of Interactive Marketing.

[109]  Yongmin Chang,et al.  The Neural Correlates of Celebrity Power on Product Favorableness: An fMRI Study , 2018 .

[110]  Jaiteg Singh,et al.  Minimum Annotation Identification of Facial Affects for Video Advertisement , 2018, 2018 International Conference on Intelligent Circuits and Systems (ICICS).

[111]  F. Chan Product placement and its effectiveness: A systematic review and propositions for future research , 2012 .

[112]  D. Tank,et al.  Brain magnetic resonance imaging with contrast dependent on blood oxygenation. , 1990, Proceedings of the National Academy of Sciences of the United States of America.

[113]  Nikolaus Weiskopf,et al.  Real-time fMRI and its application to neurofeedback , 2012, NeuroImage.

[114]  Hilke Plassmann,et al.  Applications of functional magnetic resonance imaging for market research , 2007 .

[115]  Qing-guo Ma,et al.  Applying Neuroscience to Tourism Management: A Primary Exploration of Neurotourism , 2014 .

[116]  E. Koç,et al.  What Colour and Light Do in Service Atmospherics: A Neuro-Marketing Perspective , 2019 .

[117]  Parallel universes and disciplinary space: the bifurcation of managerialism and social science in marketing studies , 2009 .

[118]  P. Rita,et al.  Measuring store emotional experience through facial electromyography and skin conductance , 2013 .

[119]  Partha Pratim Roy,et al.  Fusion of EEG response and sentiment analysis of products review to predict customer satisfaction , 2019, Inf. Fusion.

[120]  P. Kenning,et al.  Consumer neuroscience: an overview of an emerging discipline with implications for consumer policy , 2011, Journal für Verbraucherschütz und Lebensmittelsicherheit.

[121]  Bülent Yilmaz,et al.  Like/dislike analysis using EEG: Determination of most discriminative channels and frequencies , 2014, Comput. Methods Programs Biomed..

[122]  Hans-Jochen Heinze,et al.  Systematic comparison between a wireless EEG system with dry electrodes and a wired EEG system with wet electrodes , 2019, NeuroImage.

[123]  Riadh Ladhari,et al.  The promise and perils of the peripheral psychophysiology of emotion in retailing and consumer services , 2019, Journal of Retailing and Consumer Services.

[124]  E. Koç,et al.  Neuromarketing aspect of tourısm pricing psychology , 2017 .

[125]  R. Lystad,et al.  Functional neuroimaging: a brief overview and feasibility for use in chiropractic research. , 2009, The Journal of the Canadian Chiropractic Association.

[126]  R. Sellers Would you Pay a Price Premium for a Sustainable Wine? The Voice of the Spanish Consumer☆ , 2016 .

[127]  Fabio Babiloni,et al.  How to Measure Cerebral Correlates of Emotions in Marketing Relevant Tasks , 2014, Cognitive Computation.

[128]  R. Schülke [Anatomy and physiology]. , 1968, Zahntechnik; Zeitschrift fur Theorie und Praxis der wissenschaftlichen Zahntechnik.

[129]  Simine Vazire,et al.  The self-report method. , 2007 .

[130]  Luis González Abril,et al.  Advertising Liking Recognition Technique Applied to Neuromarketing by Using Low-Cost EEG Headset , 2015, IWBBIO.

[131]  F. Cincotti,et al.  Neural Basis for Brain Responses to TV Commercials: A High-Resolution EEG Study , 2008, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[132]  Florina Ungureanu,et al.  Neuromarketing and visual attention study using eye tracking techniques , 2017, 2017 21st International Conference on System Theory, Control and Computing (ICSTCC).

[133]  R. W. Wang,et al.  EEG Spectral Dynamics of Video Commercials: Impact of the Narrative on the Branding Product Preference , 2016, Scientific Reports.

[134]  Daniel Cozzolino,et al.  Sensomics - From conventional to functional NIR spectroscopy - Shining light over the aroma and taste of foods , 2019, Trends in Food Science & Technology.

[135]  Simone Kühn,et al.  Multiple “buy buttons” in the brain: Forecasting chocolate sales at point-of-sale based on functional brain activation using fMRI , 2016, NeuroImage.

[136]  U. Karmarkar,et al.  Consumer Neuroscience , 2017 .

[137]  Nelson J Klahr,et al.  Mapping a multidimensional emotion in response to television commercials , 2009, Human brain mapping.

[138]  Nick Lee,et al.  This is your brain on neuromarketing: reflections on a decade of research , 2017 .

[139]  R. Turner,et al.  Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation. , 1992, Proceedings of the National Academy of Sciences of the United States of America.

[140]  N. Ravaja Contributions of Psychophysiology to Media Research: Review and Recommendations , 2004 .

[141]  J. O'Doherty,et al.  Marketing actions can modulate neural representations of experienced pleasantness , 2008, Proceedings of the National Academy of Sciences.

[142]  B. Burle,et al.  Spatial and temporal resolutions of EEG: Is it really black and white? A scalp current density view , 2015, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[143]  Hadi Zamani,et al.  Eye Tracking Application on Emotion Analysis for Marketing Strategy , 2016 .

[144]  Phanit Koomhin,et al.  Understanding consumer physiological and emotional responses to food products using electroencephalography (EEG) , 2019, Trends in Food Science & Technology.

[145]  Ming Hsu,et al.  The neuroscience of consumer choice , 2015, Current Opinion in Behavioral Sciences.

[146]  Lan Xia,et al.  Effects of Consumers’ Efforts on Price and Promotion Fairness Perceptions , 2010 .

[147]  Gianluca Di Flumeri,et al.  Consumer Behaviour through the Eyes of Neurophysiological Measures: State-of-the-Art and Future Trends , 2019, Comput. Intell. Neurosci..

[148]  William D. Wells,et al.  Measuring Advertising Effectiveness , 2014 .

[149]  Laura Astolfi,et al.  Enhance of theta EEG spectral activity related to the memorization of commercial advertisings in Chinese and Italian subjects , 2011, 2011 4th International Conference on Biomedical Engineering and Informatics (BMEI).

[150]  Seung-Eun Lee,et al.  Measuring Neural Responses to Apparel Product Attractiveness , 2017 .

[151]  H. Nittono,et al.  EFFECTS OF FOOD SAMPLING ON BRAIN POTENTIAL RESPONSES TO FOOD BRANDING , 2017 .

[152]  William H. Hampton,et al.  Predicting Advertising success beyond Traditional Measures: New Insights from Neurophysiological Methods and Market Response Modeling , 2015 .

[153]  J. O'Doherty,et al.  Orbitofrontal Cortex Encodes Willingness to Pay in Everyday Economic Transactions , 2007, The Journal of Neuroscience.

[154]  R. Joosten,et al.  Which wine do you prefer? An analysis on consumer behaviour and brain activity during a wine tasting experience , 2019, Asia Pacific Journal of Marketing and Logistics.

[155]  Qingguo Ma,et al.  N400 as an index of uncontrolled categorization processing in brand extension , 2012, Neuroscience Letters.

[156]  Sofia Brandão,et al.  Neuroscience in branding: A functional magnetic resonance imaging study on brands’ implicit and explicit impressions , 2012 .

[157]  Vlăsceanu Sebastian,et al.  Neuromarketing and Evaluation of Cognitive and Emotional Responses of Consumers to Marketing Stimuli. , 2014 .

[158]  Nick Lee,et al.  Welcome to the jungle! The neuromarketing literature through the eyes of a newcomer , 2018 .

[159]  Mathias Benedek,et al.  Creativity meets neuroscience: experimental tasks for the neuroscientific study of creative thinking. , 2007, Methods.

[160]  Dra. Asunción Hernández-Fernández,et al.  When a new technological product launching fails: A multi-method approach of facial recognition and E-WOM sentiment analysis , 2019, Physiology & Behavior.

[161]  Antoaneta P. Petkova,et al.  When Is a New Thing a Good Thing? Technological Change, Product Form Design, and Perceptions of Value for Product Innovations , 2007, Organ. Sci..

[162]  H. Jasper,et al.  The ten-twenty electrode system of the International Federation. The International Federation of Clinical Neurophysiology. , 1999, Electroencephalography and clinical neurophysiology. Supplement.

[163]  Bertil Hultén,et al.  Sensory marketing: the multi‐sensory brand‐experience concept , 2011 .

[164]  C. Neuper,et al.  Near-infrared spectroscopy based neurofeedback training increases specific motor imagery related cortical activation compared to sham feedback , 2014, Biological Psychology.

[165]  Monica Diana Bercea Quantitative versus qualitative in neuromarketing research , 2013 .

[166]  Qingguo Ma,et al.  The Effects of Money on Fake Rating Behavior in E-Commerce: Electrophysiological Time Course Evidence From Consumers , 2018, Front. Neurosci..

[167]  Consumer Neuroscience in Practice: The Impact of Store Atmosphere on Consumer Behavior , 2016 .

[168]  Yusuf Yaslan,et al.  Emotion recognition via random forest and galvanic skin response: Comparison of time based feature sets, window sizes and wavelet approaches , 2016, 2016 Medical Technologies National Congress (TIPTEKNO).

[169]  Rimita Lahiri,et al.  Discriminating different color from EEG signals using Interval-Type 2 fuzzy space classifier (a neuro-marketing study on the effect of color to cognitive state) , 2016, 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES).

[170]  A. Villringer,et al.  Near infrared spectroscopy (NIRS): A new tool to study hemodynamic changes during activation of brain function in human adults , 1993, Neuroscience Letters.

[171]  Lei Zhou,et al.  Application of Frontal EEG Asymmetry to User Experience Research , 2014, HCI.

[172]  Andrea Ciceri,et al.  The impact of emotions on recall: An empirical study on social ads , 2017 .

[173]  U. Karmarkar,et al.  Consumer Neuroscience: Revealing Meaningful Relationships Between Brain and Consumer Behavior , 2015 .

[174]  Luca Citi,et al.  Revealing Real-Time Emotional Responses: a Personalized Assessment based on Heartbeat Dynamics , 2014, Scientific Reports.

[175]  M. Suh,et al.  Young consumers’ brain responses to pop music on Youtube , 2019, Asia Pacific Journal of Marketing and Logistics.

[176]  Mingliang Chen,et al.  How consumers are affected by product descriptions in online shopping: Event-related potentials evidence of the attribute framing effect , 2017, Neuroscience Research.

[177]  Rosalind Masterson,et al.  Marketing : An Introduction , 2004 .

[178]  E. Rolls,et al.  The Orbitofrontal Cortex , 2019 .

[179]  Jakub Berčík,et al.  The Influence of Light on Consumer Behavior at the Food Market , 2014 .

[180]  A. Colosimo,et al.  EEG Frontal Asymmetry Related to Pleasantness of Olfactory Stimuli in Young Subjects , 2016 .

[181]  Elena Añaños-Carrasco EyeTracker Technology in Elderly People: How Integrated Television Content is Paid Attention to and Processed , 2015 .

[182]  Jorge Henrique Caldeira de Oliveira,et al.  A review of studies on neuromarketing: practical results, techniques, contributions and limitations , 2014 .

[183]  R. Ohme,et al.  A Small Frog That Makes a Big Difference: Brain Wave Testing of TV Advertisements , 2012, IEEE Pulse.

[184]  Anders M. Dale,et al.  Diffuse optical imaging of brain activation: approaches to optimizing image sensitivity, resolution, and accuracy , 2004, NeuroImage.

[185]  Michael A. Casey,et al.  Assessing Feedback Response With a Wearable Electroencephalography System , 2019, Front. Hum. Neurosci..

[186]  M. Tanida,et al.  Evaluation of Pleasure-Displeasure Induced by Use of Lipsticks with Near-Infrared Spectroscopy (NIRS): Usefulness of 2-Channel NIRS in Neuromarketing. , 2017, Advances in experimental medicine and biology.

[187]  R. Kerin,et al.  Store shopping experience and consumer price-quality-value perceptions. , 1992 .

[188]  R. S. Hinks,et al.  Time course EPI of human brain function during task activation , 1992, Magnetic resonance in medicine.

[189]  P. Lewinski,et al.  UvA-DARE (Digital Academic Repository) Don’t look blank, happy, or sad: patterns of facial expressions of speakers in banks’ YouTube videos predict video’s popularity over time , 2016 .

[190]  Adam P. Vrechopoulos,et al.  Virtual reality retailing on the web: emerging consumer behavioural patterns , 2009 .

[191]  Qing-guo Ma,et al.  Don’t trick me: An event-related potentials investigation of how price deception decreases consumer purchase intention , 2019, Neuroscience Letters.

[192]  T. Ramsøy,et al.  Frontal Brain Asymmetry and Willingness to Pay , 2018, Front. Neurosci..

[193]  P. Kenning,et al.  A current overview of consumer neuroscience , 2008 .

[194]  Sajjad Farashi,et al.  The application of EEG power for the prediction and interpretation of consumer decision-making: A neuromarketing study , 2019, Physiology & Behavior.

[195]  C. Koch,et al.  Relative visual saliency differences induce sizable bias in consumer choice , 2012 .

[196]  Wenchao Su,et al.  Eye-Tracking Method , 2020 .

[197]  A. Schacht,et al.  A Comparison of the Affectiva iMotions Facial Expression Analysis Software With EMG for Identifying Facial Expressions of Emotion , 2020, Frontiers in Psychology.

[198]  Michael Rotte,et al.  Favorite brands as cultural objects modulate reward circuit , 2007, Neuroreport.

[199]  L. Pilelienė,et al.  The effect of female celebrity spokesperson in FMCG advertising: neuromarketing approach , 2017 .

[200]  Qingguo Ma,et al.  P300 and categorization in brand extension , 2008, Neuroscience Letters.

[201]  Bernd H. Schmitt,et al.  Brand Experience: What is It? How is it Measured? Does it Affect Loyalty? , 2009 .