Consumer neuroscience: Assessing the brain response to marketing stimuli using electroencephalogram (EEG) and eye tracking

Expert Systems with Applications

Volumn 40, Issue 9, 2013, Pages 3803-3812

  Khushaba, Rami N ^a   Wise, Chelsea ^a   Kodagoda, Sarath ^a   Louviere, Jordan ^a   Kahn, Barbara E ^b   Townsend, Claudia ^c  

^a UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

^c UNIVERSITY OF MIAMI   (United States)

Author keywords

Choice modeling; Electroencephalogram (EEG); Neuromarketing

Indexed keywords

BRAIN REGIONS; BRAIN RESPONSE; BUYING DECISIONS; CHOICE MODELING; CONSUMER PREFERENCES; CORTICAL ACTIVITY; DECISION PROCESS; EEG DATUM; EEG SIGNALS; ELECTRO-ENCEPHALOGRAM (EEG); ELECTROENCEPHALOGRAM SIGNALS; EMOTIV EPOC; EYE TRACKERS; EYE-TRACKING; HUMAN BEHAVIORS; MUTUAL INFORMATIONS; NEUROMARKETING; PHASE SYNCHRONIZATION; POWER SPECTRAL; RESEARCH OBJECTIVES;

BRAIN; COMMERCE; CRACKS; FREQUENCY BANDS; MARKETING; NEUROIMAGING; PRODUCT DESIGN; RESEARCH;

ELECTROENCEPHALOGRAPHY;

EID: 84874665130     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2012.12.095     Document Type: Article

References (49)

1. M.T. Akhtar, W. Mitsuhashi, and C.J. James Employing spatially constrained ICA and wavelet denoising for automatic removal of artifacts from multichannel EEG data Signal Processing 92 2 2012 401 416
2. M. Aminghafari, N. Cheze, and J.M. Poggi Multivariate denoising using wavelets and principal component analysis Computational Statistics and Data Analysis 50 9 2006 2381 2398
3. E.W. Anderson, K.C. Potter, L.E. Matzen, J.F. Shepherd, G.A. Preston, and C.T. Silva A User study of visualization effectiveness using EEG and cognitive load Computer Graphics Forum 30 3 2011 791 800
4. D. Ariely, and G.S. Berns Neuromarketing: The hope and hype of neuroimaging in business Nature Reviews Neuroscience 11 2010 284 292
5. L. Astolfi, F.D.V. Fallani, F. Cincotti, D. Mattia, L. Bianchi, and M.G. Marciani Neural basis for brain responses to TV commercials: A high-resolution EEG study IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 6 2008 522 531
6. L. Astolfi, F.D. Vico Fallani, F. Cincotti, D. Mattia, L. Bianchi, and M.G. Marciani Brain activity during the memorization of visual scenes from TV commercials: An application of high resolution EEG and steady state somatosensory evoked potentials technologies Journal of Physiology-Paris 103 6 2009 333 341
7. Aurup, G. M. M.; 2011. User preference extraction from bio-signals: An experimental study, Master thesis, Department of Mechanical and Industrial Engineering, Concordia University, Montreal, Quebec, Canada.
8. R. Battiti Using mutual information for selecting features in supervised neural net learning IEEE Transactions on Neural Networks 5 4 1994 537 550
9. P. Bobrov, A. Frolov, C. Cantor, I. Fedulova, M. Bakhnyan, and A. Zhavoronkov Brain-computer interface based on generation of visual images PLoS ONE 6 6 2011 e20674 pp. 1-12
10. N. Bourdaud, R. Chavarriaga, R. Galan, and J. Millan Characterizing the EEG correlates of exploratory behavior IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 6 2008 549 556
11. G.A. Calvert, and M.J. Brammer Predicting consumer behavior IEEE Pulse Magazine 3 3 2012 38 41
12. C.F. Camerer, G. Loewenstein, and D. Prelec Neuroeconomics: Why economics needs brains Scandinavian Journal of Economics 106 3 2004 555 579
13. A.T. Campbell, T. Choudhury, S. Hu, H. Lu, M.K. Mukerjee, M. Rabbi, and R.D.S. Raizada Neurophone: Brain-mobile phone interface using a wireless eeg headset Proceedings of the second ACM SIGCOMM workshop on networking, systems, and applications on mobile handhelds (MobiHeld10) 2010 ACM New York, NY, USA
14. N.P. Castellanos, and V.A. Makarov Recovering EEG brain signals: Artifact suppression with wavelet enhanced independent component analysis Journal of Neuroscience Methods 158 2012 300 312
15. M.P.S. Chawla PCA and ICA processing methods for removal of artifacts and noise in electrocardiograms: A survey and comparison Applied Soft Computing 11 2 2011 2216 2226
16. P. Comon Independent component analysis: A new concept Signal Processing 36 1994 287 314
17. T. Costa, E. Rognoni, and D. Galati EEG phase synchronization during emotional response to positive and negative film stimuli Neuroscience Letters 406 2006 159 164
18. T.M. Cover, and J.A. Thomas Elements of information theory 2nd ed. 2006 John-Wiley and Sons Inc.
19. Custdio, P. F. (2010). Use of EEG as a neuroscientific approach to advertising research, Master thesis, Instituto Superior Tcnico, Universidade Tecnica De Lisboa.
20. Custdio, P. F. (2010). Use of EEG as a neuroscientific approach to advertising research, Master thesis, Instituto Superior Tcnico, Universidade Tecnica De Lisboa.
21. E.Z. Golumbic, T. Golan, D. Anaki, and S. Bentin Human face preference in gamma-frequency EEG activity Neuroimage 39 2008 1980 1987
22. L.A. Hald, M.C.M. Bastiaansen, and P. Hagoort EEG theta and gamma responses to semantic violations in online sentence processing Brain and Language 96 2006 90 105
23. A. Hyvarinen, J. Karhunen, and E. Oja Independent component analysis 2001 John Wiley and Sons Inc.
24. G.J. Klir Uncertainty and information: Foundations of generalized information theory 2006 John Wiley and Sons Inc. NJ, USA
25. M. Kawasaki, and Y. Yamaguchi Effects of subjective preference of colors on attention-related occipital theta oscillations NeuroImage 59 1 2012 808 814
26. P.H. Kenning, and H. Plassmann How neuroscience can inform consumer research IEEE Transactions on Neural Systems and Rehabilitation Engineering 16 6 2008 532 538
27. R.N. Khushabaa, L. Greenacreb, S. Kodagodaa, J. Louviereb, S. Burkeb, and G. Dissanayake Choice modeling and the brain: A study on the Electroencephalogram (EEG) of preferences Expert Systems with Applications 39 16 2012 12378 12388
28. G.G. Knyazev Motivation, emotion, and their inhibitory control mirrored in brain oscillations Neuroscience and Biobehavioral Reviews 31 2007 377 395
29. J.P. Lachaux, E. Rodriguez, J. Martinerie, and F.J. Varela Measuring phase synchrony in brain signals Human Brain Mapping 8 1999 194 208
30. N. Lee, A.J. Broderick, and L. Chamberlain What is neuromarketing? A discussion and agenda for future research International Journal of Psychophysiology 63 2 2007 199 204
31. C.T. Lin, L.W. Ko, I.F. Chung, T.Y. Huang, Y.C. Chen, and T.P. Jung Adaptive EEG-based alertness estimation system by using ICA-based fuzzy neural networks IEEE Transactions on Circuits and Systems-I: Regular Papers 53 11 2006 2469 2476
32. C.R. Madan Neuromarketing: The next step in market research? Eureka 1 1 2010 34 42
33. S. Mallat A wavelet tour of signal processing 3rd ed. 2009 Academic Press
34. B.C. Min, S.H. Jin, I.H. Kang, D.H. Lee, J.K. Kang, and S.T. Lee Analysis of mutual information content for EEG responses to odor stimulation for subjects classified by occupation Chemical Senses 28 9 2003 741 749
35. M.M. Mostafa Brain processing of vocal sounds in advertising: A functional magnetic resonance imaging (fMRI) study Expert Systems with Applications 39 15 2012 12114 12122
36. Nie, D.; Wang, X. W.; Shi, L. C.; Lu, B. L. (2011). EEG-based emotion recognition during watching movies. In Proceedings of the 5th international IEEE EMBS conference on neural engineering cancun (pp. 667-670). Mexico.
37. R. Ohme, D. Reykowska, D. Wiener, and A. Choromanska Analysis of neurophysiological reactions to advertising stimuli by means of EEG and Galvanic skin response measures Journal of Neuroscience, Psychology, and Economics 2 1 2009 21 31
38. R. Ohme, D. Reykowska, D. Wiener, and A. Choromanska Application of frontal EEG asymmetry to advertising research Journal of Economic Psychology 31 5 2010 785 793
39. Pirouz, D. 2007. The Neuroscience of Consumer Decision-Making. The Paul Merage School of Business, University of California Irvine, MPRA Paper no. 2181, posted 07.
40. H. Plassmann, T.Z. Ramsoy, and M. Milosavljevic Branding the brain: A critical review and outlook Journal of Consumer Psychology 22 1 2012 18 36
41. G.F. Potts, and D.M. Tucker Frontal evaluation and posterior representation in target detection Cognitive Brain Research 11 2001 147 156
42. X. Ren, Z. Yan, Z. Wang, and X. Hu Noise reduction based on ICA decomposition and wavelet transform for the extraction of motor unit action potentials Journal of Neuroscience Methods 158 2 2006 313 322
43. C.E. Shannon, and W. Weaver The mathematical theory of communication 1949 University of Illinois Press Urbana, IL
44. G. Stefanics, B. Hangya, I. Herndi, I. Winkler, P. Lakatos, and I. Ulbert Phase entrainment of human delta oscillations can mediate the effects of expectation on reaction speed The Journal of Neuroscience 30 41 2010 13578 13585
45. A. Stopczynski, J.E. Larsen, C. Stahlhut, M.K. Petersen, and L.K. Hansen A smartphone interface for a wireless EEG headset with real-time 3D reconstruction Affective Computing and Intelligent Interaction: Lecture Notes in Computer Science 6975/2011 2011 317 318 10.1007/978-3-642-24571-8-40
46. R.R. Vazqueza, H. Velez-Pereza, R. Ranta, V.L. Dorr, D. Maquin, and L. Maillard wavelet denoising and discriminant analysis for EEG artefacts and noise cancelling Biomedical Signal Processing and Control 7 4 2012 389 400
47. G. Vecchiato, W. Kong, A.G. Maglione, and D. Wei Understanding the impact of TV commercials IEEE Pulse Magazine 3 3 2012 42 47
48. J. Wacker, D.G. Dillon, and D.A. Pizzagalli The role of the nucleus accumbens and rostral anterior cingulate cortex in anhedonia: Integration of resting EEG, fmri, and volumetric techniques NeuroImage 46 2009 327 337
49. Yokomatsu, E.; Ito, S. I.; Mitsukura, Y.; Jianting, C.; Fukumi, M. (1720). A design of the preference acquisition detection system. In Proceedings of the annual conference of the society of instrument and control engineers (SICE) (pp. 2804-2807). Japan.