Advancing consumer neuroscience

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• 作者：Ale Smidts (1)
  Ming Hsu (2)
  Alan G. Sanfey (3)
  Maarten A. S. Boksem (1)
  Richard B. Ebstein (4)
  Scott A. Huettel (5)
  Joe W. Kable (6)
  Uma R. Karmarkar (7)
  Shinobu Kitayama (8)
  Brian Knutson (9)
  Israel Liberzon (8)
  Terry Lohrenz (10)
  Mirre Stallen (3)
  Carolyn Yoon (11)
  
• 关键词：Consumer neuroscience ; Neuroeconomics ; Social neuroscience ; Genes ; Machine learning ; Meta ; analysis
• 刊名：Marketing Letters
• 出版年：2014
• 出版时间：September 2014
• 年：2014
• 卷：25
• 期：3
• 页码：257-267
• 全文大小：415 KB
• 参考文献：1. Ariely, D., & Berns, G. S. (2010). Neuromarketing: the hope and hype of neuroimaging in business. / Nature Reviews Neuroscience, 11(4), 284鈥?92. CrossRef
  2. Bartra, O., McGuire, J. T., & Kable, J. W. (2013). The valuation system: a coordinate-based meta-analysis of BOLD fMRI experiments examining neural correlates of subjective value. / NeuroImage, 76, 412鈥?27. CrossRef
  3. Bell, C. G., Walley, A. J., & Froguel, P. (2005). The genetics of human obesity. / Nature Reviews Genetics, 6(3), 221鈥?34. CrossRef
  4. Berns, G. S., & Moore, S. E. (2012). A neural predictor of cultural popularity. / Journal of Consumer Psychology, 22(1), 154鈥?60. CrossRef
  5. Bhatt, M. A., Lohrenz, T., Camerer, C. F., & Montague, P. R. (2010). Neural signatures of strategic types in a two-person bargaining game. / PNAS, 107(46), 19720鈥?9725. CrossRef
  6. Camerer, C., Loewenstein, G., & Prelec, D. (2005). Neuroeconomics: how neuroscience can inform economics. / Journal of Economic Literature, 43(1), 9鈥?4. CrossRef
  7. Carter, R. M., & Huettel, S. A. (2013). A nexus model of the temporo-parietal junction. / Trends in Cognitive Sciences, 17, 328鈥?36. CrossRef
  8. Cesarini, D., Dawes, C. T., Fowler, J. H., Johannesson, M., Lichtenstein, P., & Wallace, B. (2008). Heritability of cooperative behavior in the trust game. / PNAS, 105(10), 3721鈥?726. CrossRef
  9. De Martino, B., Kumaran, D., Seymour, B., & Dolan, R. J. (2006). Frames, biases, and rational decision-making in the human brain. / Science, 313(5787), 684鈥?87. CrossRef
  10. Ebstein, R. B., Zhong, S., et al. (2012). Genetics of social cognition in the laboratory: Definition, measurement, and association. In T. Canlin (Ed.), / The Oxford handbook of molecular psychology. Oxford: Oxford University Press.
  11. Falk, E. B., Berkman, E. T., & Lieberman, M. D. (2012). From neural responses to population behavior: neural focus group predicts population-level media effects. / Psychological Science, 23(5), 439鈥?45. CrossRef
  12. Glimcher, P. W. (2011). / Foundations of neuroeconomic analysis. New York: Oxford University Press.
  13. Grosenick, L., Klingenberg, B., Katovich, K., Knutson, B., & Taylor, J. E. (2013). Interpretable whole-brain prediction analysis with GraphNet. / NeuroImage, 72, 304鈥?21. CrossRef
  14. Gul, F., & Pesendorfer, W. (2008). The case for mindless economics. In A. Caplin & A. Schotter (Eds.), / The foundations of positive and normative economics. Oxford: Oxford University Press.
  15. Hare, T. A., Camerer, C. F., & Rangel, A. (2009). Self-control in decision-making involves modulation of the vmPFC valuation system. / Science, 324, 646鈥?48. CrossRef
  16. Hedgcock, W., & Rao, A. R. (2009). Trade-off aversion as an explanation for the attraction effect: a functional magnetic resonance imaging study. / Journal of Marketing Research, 46, 1鈥?3. CrossRef
  17. Hsu, M., Bhatt, M., Adolphs, R., Tranel, D., & Camerer, C. F. (2005). Neural systems responding to degrees of uncertainty in human decision-making. / Science, 310(5754), 1680鈥?683. CrossRef
  18. Hsu, M., Anen, C., & Quartz, S. R. (2008). The right and the good: distributive justice and neural encoding of equity and efficiency. / Science, 320(5879), 1092鈥?095. CrossRef
  19. Jensen, P. B., Jensen, L. J., & Brunak, S. (2012). Mining electronic health records: towards better research applications and clinical care. / Nature Reviews Genetics, 13, 395鈥?05. CrossRef
  20. Kable, J. W., & Glimcher, P. W. (2007). The neural correlates of subjective value during intertemporal choice. / Nature Neuroscience, 10(12), 1625鈥?633. CrossRef
  21. Kitayama, S., & Uskul, A. K. (2011). Culture, mind, and the brain: current evidence and future directions. / Annual Review of Psychology, 62, 419鈥?49. CrossRef
  22. Klucharev, V., Smidts, A., & Fern谩ndez, G. (2008). Brain mechanisms of persuasion: how 鈥渆xpert power鈥?modulates memory and attitudes. / Social Cognitive and Affective Neuroscience, 3(4), 353鈥?66. CrossRef
  23. Knafo, A., & Plomin, R. (2006). Prosocial behavior from early to middle childhood: genetic and environmental influences on stability and change. / Developmental Psychology, 42(5), 771鈥?86. CrossRef
  24. Knutson, B., & Karmarkar, U. (2014). Appetite, consumption, and choice in the human brain. In S. D. Preston, M. Kringelbach, & B. Knutson (Ed.), / The interdisciplinary science of consumption http://mitpress.mit.edu/books/interdisciplinary-science-consumption.
  25. Knutson, B., Rick, S., Wimmer, G. E., Prelec, D., & Loewenstein, G. (2007). Neural predictors of purchases. / Neuron, 53(1), 147鈥?56. CrossRef
  26. Levallois, C., Clithero, J. A., Wouters, P., Smidts, A., & Huettel, S. A. (2012). Translating upwards: linking the neural and social sciences via neuroeconomics. / Nature Reviews. Neuroscience, 13(11), 789鈥?97. CrossRef
  27. Levallois, C., Smidts, A., & Wouters, P. (2013). The neuro-turn in science and society: investigating the birth of neuromarketing through traditional and new media (2002-2008). Working paper Erasmus Center for Neuroeconomics, Erasmus University Rotterdam (43 p.).
  28. Levy, D. J., & Glimcher, P. W. (2012). The root of all value: a neural common currency for choice. / Current Opinion in Neurobiology, 22, 1027鈥?038. CrossRef
  29. Lieberman, M. D. (2007). Social cognitive neuroscience: a review of core processes. / Annual Review of Psychology, 58, 259鈥?89. CrossRef
  30. McClure, S. M., Li, J., Tomlin, D., Cypert, K. S., Montague, L. M., & Montague, P. R. (2004). Neural correlates of behavioral preference for culturally familiar drinks. / Neuron, 44(2), 379鈥?87. CrossRef
  31. Montague, P. R., King-Casas, B., & Cohen, J. D. (2006). Imaging valuation models in human choice. / Annual Review of Neuroscience, 29, 417鈥?48. CrossRef
  32. O鈥機onnell, L. A., & Hofmann, H. A. (2012). Evolution of a vertebrate social decision-making network. / Science, 336(6085), 1154鈥?157. CrossRef
  33. Payne, J. W., Bettman, J. R., & Johnson, E. J. (1992). Behavioral decision research: a constructive processing perspective. / Annual Review of Psychology, 43(1), 87鈥?31. CrossRef
  34. Pereira, F., Mitchell, T., & Botvinick, M. (2009). Machine learning classifiers and fMRI: a tutorial overview. / NeuroImage, 45(1), S199鈥揝209. CrossRef
  35. Plassmann, H., O鈥橠oherty, J., Shiv, B., & Rangel, A. (2008). Marketing actions can modulate neural representations of experienced pleasantness. / PNAS, 105(3), 1050鈥?054. CrossRef
  36. Plassmann, H., Rams酶y, T. Z., & Milosavljevic, M. (2012). Branding the brain: a critical review and outlook. / Journal of Consumer Psychology, 22(1), 18鈥?6. CrossRef
  37. Plomin, R. (1990). / Nature and nurture: An introduction to human behavioral genetics. Pacific Grove: Thomson Brooks/Cole Publishing Co.
  38. Poldrack, R. A. (2006). Can cognitive processes be inferred from neuroimaging data? / Trends in Cognitive Sciences, 10, 59鈥?3. CrossRef
  39. Rasetti, R. & Weinberger, D. R. (2011). Intermediate phenotypes in psychiatric disorders. / Current Opinion in Genetics and Development 21(3), 340鈥?48.
  40. Reimann, M., Zaichkowsky, J., Neuhaus, C., Bender, T., & Weber, B. (2010). Aesthetic package design: a behavioral, neural, and psychological investigation. / Journal of Consumer Psychology, 20(4), 431鈥?41. CrossRef
  41. Rilling, J. K., & Sanfey, A. G. (2011). The neuroscience of social decision-making. / Annual Review of Psychology, 62, 23鈥?8. CrossRef
  42. Shiv, B., & Yoon, C. (2012). Integrating neurophysiological and psychological approaches: towards an advancement of brand insights. / Journal of Consumer Psychology, 22(1), 3鈥?. CrossRef
  43. Shiv, B., Bechara, A., Levin, I., Alba, J. W., Bettman, J. R., Dube, L., et al. (2005). Decision neuroscience. / Marketing Letters, 16(3鈥?), 375鈥?86. CrossRef
  44. Simonson, I., & Sela, A. (2011). On the heritability of consumer decision making: an exploratory approach for studying genetic effects on judgment and choice. / Journal of Consumer Research, 37(6), 951鈥?66. CrossRef
  45. Stallen, M., Smidts, A., Rijpkema, M., Smit, G., Klucharev, V., & Fern谩ndez, G. (2010). Celebrities and shoes on the female brain: the neural correlates of product evaluation in the context of fame. / Journal of Economic Psychology, 31(5), 802鈥?11. CrossRef
  46. Venkatraman, V., Payne, J. W., Bettman, J. R., Luce, M. F., & Huettel, S. A. (2009). Separate neural mechanisms underlie choices and strategic preferences in risky decision making. (2009). / Neuron, 62(4), 593鈥?02. CrossRef
  47. Yarkoni, T., Poldrack, R. A., Nichols, T. E., Van Essen, D. C., & Wager, T. D. (2011). Large-scale automated synthesis of human functional neuroimaging data. / Nature Methods, 8, 665鈥?70. CrossRef
  48. Yoon, C., Gonzalez, R., Bechara, A., Berns, G. S., Dagher, A., Dube, L., et al. (2012). Decision neuroscience and consumer decision making. / Marketing Letters, 23, 473鈥?85. CrossRef
  
• 作者单位：Ale Smidts (1)
  Ming Hsu (2)
  Alan G. Sanfey (3)
  Maarten A. S. Boksem (1)
  Richard B. Ebstein (4)
  Scott A. Huettel (5)
  Joe W. Kable (6)
  Uma R. Karmarkar (7)
  Shinobu Kitayama (8)
  Brian Knutson (9)
  Israel Liberzon (8)
  Terry Lohrenz (10)
  Mirre Stallen (3)
  Carolyn Yoon (11)
  
  1. Rotterdam School of Management, Erasmus University, Rotterdam, The Netherlands
  2. Haas School of Business, University of California, Berkeley, Berkeley, CA, USA
  3. Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, The Netherlands
  4. National University of Singapore, Singapore, Singapore
  5. Duke University, Durham, NC, USA
  6. University of Pennsylvania, Philadelphia, PA, USA
  7. Harvard Business School, Boston, MA, USA
  8. University of Michigan, Ann Arbor, MI, USA
  9. Stanford University, Stanford, CA, USA
  10. Virginia Tech Carilion Research Institute, Roanoke, VA, USA
  11. Stephen M. Ross School of Business, University of Michigan, Ann Arbor, MI, USA
  
• ISSN：1573-059X

文摘

In the first decade of consumer neuroscience, strong progress has been made in understanding how neuroscience can inform consumer decision making. Here, we sketch the development of this discipline and compare it to that of the adjacent field of neuroeconomics. We describe three new frontiers for ongoing progress at both theoretical and applied levels. First, the field will broaden its boundaries to include genetics and molecular neuroscience, each of which will provide important new insights into individual differences in decision making. Second, recent advances in computational methods will improve the accuracy and out-of-sample generalizability of predicting decisions from brain activity. Third, sophisticated meta-analyses will help consumer neuroscientists to synthesize the growing body of knowledge, providing evidence for consistency and specificity of brain activations and their reliability as measurements of consumer behavior.