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The added value of the electrical neuroimaging for the evaluation of marketing stimuli

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EN
Abstrakty
EN
There is a large interest in the marketing world to use the neuroimaging tools as a possible aid to evaluate the efficacy of a commercial advertisement. Such an area of study is called "neuromarketing". Here we illustrate some applications of electrical neuroimaging, a discipline using EEG and intensive signal processing techniques for the evaluation of such marketing stimuli. We will show which kind of information is possible to gather with these methodologies while persons are watching marketing relevant stimuli. Such information is related to the memorization and attention of commercial advertisements. We noted that temporal and frequency patterns of EEG signals are able to return descriptors of cognitive process in subjects that watched such commercial announcements. The described EEG methodologies could be then employed both to better design new products that are going to be promoted on the market as well as to analyse the global cognitive impact of commercial videos already broadcasted.
Słowa kluczowe
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Strony
419--426
Opis fizyczny
Bibliogr. 24 poz., rys., tab.
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autor
autor
autor
autor
autor
autor
autor
autor
  • Neuroelectrical Imaging and BCI lab, IRCCS Fondazione Santa Lucia, 306 Via Ardeatina, 00179 Rome, Italy / Department of Physiology and Pharmacology, University of Rome "Sapienza", 5 Piazzale Aldo Moro, 00185 Rome, Italy
Bibliografia
  • [1] A. Rangel, C. Camerer, and P.R. Montague, “A framework for studying the neurobiology of value-based decision making”, Nature Reviews. Neuroscience 9, 545-556 (2008).
  • [2] D. Ariely and Berns, “Neuromarketing: the hope and hype of neuroimaging in business”, Nature Reviews. Neuroscience 11 (4), 284-292 (2010).
  • [3] B. Knutson, S. Rick, G.E. Wimmer, D. Prelec, and G. Loewenstein, “Neural predictors of purchases”, Neuron 53 (1), 147- 156 (2007).
  • [4] C. Babiloni, F. Carducci, C. Del Gratta, M. Demartin, G.L. Romani, F. Babiloni, and P.M. Rossini, “Hemispherical asymmetry in human SMA during voluntary simple unilateral movements. An fMRI study”, Cortex. 39 (2), 293-305 (2003).
  • [5] P. L.Nunez, Neocortical Dynamics and Human EEG Rhythms, Oxford University Press, Oxford, 1995.
  • [6] F. Babiloni, D. Mattia, C. Babiloni, L. Astolfi, S. Salinari, A. Basilisco, P.M. Rossini, M.G. Marciani, and F. Cincotti, “Multimodal integration of EEG, MEG and fMRI data for the solution of the neuroimage puzzle”, Magn. Reson. Imaging 22 (10), 1471-1476 (2004).
  • [7] W. Klimesch, “EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis”, BrainRes. Rev. 29 (2), 169-95 (1999).
  • [8] G. Vecchiato, L. Astolfi, F. De Vico Fallani, F. Cincotti, D. Mattia, S. Salinari, R. Soranzo, and F. Babiloni, “Changes in brain activity during the observation of TV commercials by using EEG, GSR and HR measurements”, Brain Topography 23 (2), 165-179 (2010).
  • [9] C. Babiloni, A. Brancucci, F. Babiloni, P. Capotosto, F. Carducci, F. Cincotti, L. Arendt-Nielsen, A.C. Chen, and P.M. Rossini, “Anticipatory cortical responses during the expectancy of a predictable painful stimulation”, Eur. J. Neuroscience 18 (6), 1692-1700 (2003).
  • [10] C. Babiloni, F. Babiloni., F. Carducci, F. Cincotti, F. Vecchio, B. Cola, S. Rossi, C. Miniussi, and P.M. Rossini, “Functional frontoparietal connectivity during short-term memory as revealed by high-resolution EEG coherence analysis”, BehavioralNeuroscience 118 (4), 687-83 (2004).
  • [11] A. Brancucci, C. Babiloni, F. Babiloni, S. Galderisi, A. Mucci, F. Tecchio, F. Zappasodi, V. Pizzella, G.L. Romani, and P.M. Rossini, “Inhibition of auditory cortical responses to ipsilateral stimuli during dichotic listening: evidence from magnetoencephalography”, Eur. J. Neuroscience 19 (8), 2329-2336 (2003).
  • [12] F. De Vico Fallani, L. Astolfi, F. Cincotti, D.Mattia, M.G. Marciani, S. Salinari, J. Kurths, A. Cichocki, S. Gao, A. Colosimo, and F. Babiloni, “Cortical functional connectivity networks in normal and spinal cord injured patients: evaluation by graph analysis”, Human Brain Mapping 28 (12), 1334-1346 (2007).
  • [13] L. Astolfi, F. De Vico Fallani, F. Cincotti, D. Mattia, L. Bianchi, M.G. Marciani, S. Salinari, A. Colosimo, A. Tocci, R. Soranzo, and F. Babiloni, “Neural basis for brain responses to TV commercials: a high-resolution EEG study”, IEEETrans. Neural Syst. Rehabil. Eng. 16 (6), 522-531 (2008).
  • [14] L. Astolfi, F. Cincotti, D.Mattia, M.G. Marciani, L. Baccala, F. de Vico Fallani, S. Salinari, M. Ursino, M. Zavaglia, L. Ding, J.C. Edgar, G.A. Miller, B. He, and F. Babiloni. “Comparison of different cortical connectivity estimators for high-resolution EEG recordings”, Hum. Brain Mapping 28 (2), 143-157 (2007).
  • [15] L. Astolfi, F. De Vico Fallani, F. Cincotti, D.Mattia, M.G. Marciani, S. Bufalari, S. Salinari, Alfredo Colosimo, L. Ding, J.C. Edgar, W. Heller, G.A. Miller, B. He, and F. Babiloni, “Imaging functional brain connectivity patterns from highresolution EEG and fMRI via graph theory”, Psychophysiology 44 (6), 880-893 (2007).
  • [16] C. Summerfield and J.A. Mangels, “Coherent theta-band EEG activity predicts item-context binding during encoding”, Neuroimage 24 (3), 692-703 (2005).
  • [17] L. Astolfi, F. Cincotti, D. Mattia, S. Salinari, C. Babiloni, A. Basilisco, P.M. Rossini, L. Ding, Y. Ni, B. He, M.G. Marciani, and F. Babiloni, “Estimation of the effective and functional human cortical connectivity with structural equation modeling and directed transfer function applied to highresolution EEG”, Magnetic Resonance Imaging 22 (10), 1457- 1470 (2004).
  • [18] L. Astolfi, F. Cincotti, D.Mattia, M.G. Marciani, L. Baccalà, F. de Vico Fallani, S. Salinari, M. Ursino, M. Zavaglia, and F. Babiloni, “Assessing cortical functional connectivity by partial directed coherence: simulations and application to real data”, IEEE Trans. on Biomedical Eng. 53 (9), 1802-1812 (2006).
  • [19] L. Astolfi, F. Cincotti, C. Babiloni, F. Carducci, A. Basilisco, P.M. Rossini, S. Salinari, D. Mattia, S. Cerutti, D. Ben Dayan, L. Ding, Y. Ni, B. He, and F. Babiloni, “Estimation of the cortical connectivity by high-resolution EEG and structural equation modeling: simulations and application to finger tapping data”, IEEE Trans. on Biomedical Eng. 52 (5), 757-768 (2005).
  • [20] E. Tulving, S. Kapur, and F.I.M. Craik, “Hemispheric encoding/ retrieval asymmetry in episodic memory: positron emission tomography findings”, Proc. Nat. Acad. Sci. USA 91 (6), 2016-2020 (1994).
  • [21] P.E. Green, and V. Srinivasan, “Conjoint analysis in marketing: new developments with implications for research and practice, J. Marketing 54 (4), 3-19 (1990).
  • [22] Griffin and J.R. Hauser, “The voice of the customer”, MarketingScience 12 (1), 1-27 (1993).
  • [23] N.E. Beckwith and D.R. Lehmann, “The importance of halo effects in multi-attribute attitude models”, J. Marketing Research 12 (3), 265-275 (1975).
  • [24] G.S. Day, “The threats to marketing research”, J. MarketingResearch 12 (4), 462-467 (1975).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPG8-0096-0004
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