Consumer neuroscience: Advances in understanding consumer psychology

Current Opinion in Psychology

Volumn 10, Issue , 2016, Pages 160-165

  Karmarkar, Uma R ^a   Yoon, Carolyn ^b  

^a HARVARD BUSINESS SCHOOL   (United States)

^b UNIVERSITY OF MICHIGAN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84959096456     PISSN: 2352250X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.copsyc.2016.01.010     Document Type: Review

References (51)

1. Smidts A., Hsu M., Sanfey A.G., Boksem M.A., Ebstein R.B., Huettel S.A., Kable J.W., Karmarkar U.R., Kitayama S., Knutson B., Liberzon I., Lohrenz T., Stallen M., Yoon C. Advancing consumer neuroscience. Mark Lett 2014, 25:257-267.
2. Plassmann H., Karmarkar U.R. Consumer neuroscience: revealing meaningful relationships between brain and consumer behavior. Cambridge Handbook of Consumer Psychology 2015, Cambridge University Press. C. Lamberton, M. Norton, D. Rucker (Eds.).
3. Hsu M., Yoon C. The neuroscience of consumer choice. Curr Opin Behav Sci 2015, 5:116-121.
4. Robinson M.D., Clore G.L. Belief and feeling: evidence for an accessibility model of emotional self-report. Psychol Bull 2002, 128:934-960.
5. Teixeira T., Wedel M., Pieters R. Emotion-induced engagement in internet video advertisements. J Mark Res 2012, 49:144-159.
6. Samanez-Larkin G.R., Knutson B. Decision making in the ageing brain: changes in affective and motivational circuits. Nat Rev Neurosci 2015, 16:278-289.
7. Russell J.A. A circumplex model of affect. J Pers Soc Psychol 1980, 39:1161-1178.
8. Erk S., Spitzer M., Wunderlich A.P., Galley L., Walter H. Cultural objects modulate reward circuitry. Neuroreport 2002, 13:2499-2503.
9. Knutson B., Rick S., Wimmer G.E., Prelec D., Loewenstein G. Neural predictors of purchases. Neuron 2007, 53:147-156.
10. Karmarkar U.R., Shiv B., Knutson B. Cost conscious? The neural and behavioral impact of price primacy on decision-making. J Mark Res 2015, 52:467-481.
11. Berns G.S., Moore S.E. A neural predictor of cultural popularity. J Consum Psychol 2011, 22:154-160.
12. Genevsky A., Knutson B. Neural affective mechanisms predict market-level microlending. Psychol Sci 2015, 26:1411-1422.
13. Genevsky A., Yoon C., Knutson B. When brain beats behavior: neuroforecasting crowdfunding outcomes. Working Paper 2015.
14. Venkatraman V., Dimoka A., Pavlou P.A., Vo K., Hampton W., Bollinger B., Hershfield H.E., Ishihara M., Winer R.S. Predicting advertising success beyond traditional measures: new insights from neurophysiological methods and market response modeling. J Mark Res 2014, 52:436-452.
15. Singer T., Critchley H.D., Preuschoff K. A common role of insula in feelings, empathy and uncertainty. Trends Cogn Sci 2009, 13:334-340.
16. Preuschoff K., Quartz S.R., Bossaerts P. Human insula activation reflects risk prediction errors as well as risk. J Neurosci 2008, 28:2745-2752.
17. Kuhnen C.M., Knutson B. The neural basis of financial risk taking. Neuron 2005, 47:763-770.
18. Wu C.C., Sacchet M.D., Knutson B. Toward an affective neuroscience account of financial risk taking. Front Neurosci 2012, 6.
19. Paulus M.P., Rogalsky C., Simmons A., Feinstein J.S., Stein M.B. Increased activation in the right insula during risk-taking decision making is related to harm avoidance and neuroticism. Neuroimage 2003, 19:1439-1448.
20. Knutson B., Katovich K., Suri G. Inferring affect from fMRI data. Trends Cogn Sci 2014, 18:422-428.
21. Yarkoni T. No the Dorsal Anterior Cingulate Is Not Selective for Pain. . . 2015, http://www.talyarkoni.org/blog/2015/12/05/no-the-dorsal-anterior-cingulate-is-not-selective-for-pain-comment-on-lieberman-and-eisenberger-2015/.
22. Levy D.J., Glimcher P.W. The root of all value: a neural common currency for choice. Curr Opin Neurobiol 2012, 22:1027-1038.
23. McClure S.M., Li J., Tomlin D., Cypert K.S., Montague L.M., Montague P.R. Neural correlates of behavioral preference for culturally familiar drinks. Neuron 2004, 44:379-387.
24. Plassmann H., O'Doherty J., Shiv B., Rangel A. Marketing actions can modulate neural representations of experienced pleasantness. Proc Natl Acad Sci U S A 2008, 105:1050-1054.
25. Chib V.S., Rangel A., Shimojo S., O'Doherty J.P. Evidence for a common representation of decision values for dissimilar goods in human ventromedial prefrontal cortex. J Neurosci 2009, 29:12315-12320.
26. Levy D.J., Glimcher P.W. Comparing apples and oranges: using reward-specific and reward-general subjective value representation in the brain. J Neurosci 2011, 31:14693-14707.
27. Bartra O., McGuire J.T., Kable J.W. The valuation system: a coordinate-based meta-analysis of BOLD fMRI experiments examining neural correlates of subjective value. Neuroimage 2013, 76:412-427.
28. Clithero J.A., Rangel A. Informatic parcellation of the network involved in the computation of subjective value. Soc Cogn Affect Neurosci 2014, 9:1289-1302.
29. Kang M.J., Rangel A., Camus M., Camerer C.F. Hypothetical and real choice differentially activate common valuation areas. J Neurosci 2011, 31:461-468.
30. Lebreton M., Jorge S., Michel V., Thirion B., Pessiglione M. An automatic valuation system in the human brain: evidence from functional neuroimaging. Neuron 2009, 64:431-439.
31. Tusche A., Bode S., Haynes J.D. Neural responses to unattended products predict later consumer choices. J Neurosci 2010, 30:8024-8031.
32. Levy I., Lazzaro S.C., Rutledge R.B., Glimcher P.W. Choice from non-choice: predicting consumer preferences from blood oxygenation level-dependent signals obtained during passive viewing. J Neurosci 2011, 31:118-125.
33. Smith A.B., Bernheim D., Camerer C.F., Rangel A. Neural activity reveals preferences without choices. Am Econ J: Microecon 2014, 6:1-36.
34. Knutson B., Wimmer G.E., Rick S., Hollon N.G., Prelec D., Loewenstein G. Neural antecedents of the endowment effect. Neuron 2008, 58:814-822.
35. De Martino B., Kumaran D., Holt B., Dolan R.J. The neurobiology of reference-dependent value computation. J Neurosci 2009, 29:3833-3842.
36. Hare T.A., Camerer C.F., Rangel A. Self-control in decision-making involves modulation of the vmPFC valuation system. Science 2009, 324:646-648.
37. Hare T.A., Malmaud J., Rangel A. Focusing attention on the health aspects of foods changes value signals in vmPFC and improves dietary choice. J Neurosci 2011, 31:11077-11087.
38. Falk E.B., Cascio C.N., Coronel J.C. Neural prediction of communication-relevant outcomes. Commun Methods Meas 2015, 9:30-54.
39. Northoff G., Heinzel A., de Greck M., Bermpohl F., Dobrowolny H., Panksepp J. Self-referential processing in our brain - a meta-analysis of imaging studies on the self. Neuroimage 2006, 31:440-457.
40. Denny B.T., Kober H., Wager T.D., Ochsner K.N. A meta-analysis of functional neuroimaging studies of self-and other judgments reveals a spatial gradient for mentalizing in medial prefrontal cortex. J Cogn Neurosci 2012, 24:1742-1752.
41. Chua H.F., Liberzon I., Welsh R.C., Strecher V.J. Neural correlates of message tailoring and self-relatedness in smoking cessation programming. Biol Psychiatry 2009, 65:165-168.
42. Falk E.B., O'Donnell M.B., Cascio C.N., Tinney F., Kang Y., Lieberman M.D., Taylor S.E., An L., Resnicow K., Strecher V.J. Self-affirmation alters the brain's response to health messages and subsequent behavior change. Proc Natl Acad Sci U S A 2015, 112:1977-1982.
43. Falk E.B., Berkman E.T., Lieberman M.D. From neural responses to population behavior neural focus group predicts population-level media effects. Psychol Sci 2012, 23:439-445.
44. Boksem M.A.S., Smidts A. Brain responses to movie-trailers predict individual preferences for movies and their population-wide commercial success. J Mark Res 2015, 52:482-492.
45. Milosavljevic M., Navalpakkam V., Koch C., Rangel A. Relative visual saliency differences induce sizable bias in consumer choice. J Consum Psychol 2012, 22:67-74.
46. Krajbich I., Armel C., Rangel A. Visual fixations and the computation and comparison of value in simple choice. Nat Neurosci 2010, 13:1292-1298.
47. Towal R.B., Mormann M., Koch C. Simultaneous modeling of visual saliency and value computation improves predictions of economic choice. Proc Natl Acad Sci U S A 2013, 110:E3858-E3867.
48. Milosavljevic M., Cerf M. First attention then intention: insights from computational neuroscience of vision. Int J Advert 2008, 27:381-398.
49. Ungerleider N. Eyetracking and the Neuroscience of Good Web Design 2013, Fast Company, http://www.fastcompany.com/3019886/buyology/eyetracking-and-the-neuroscience-of-good-web-design.
50. Dmochowski J.P., Bezdek M.A., Abelson B.P., Johnson J.S., Schumacher E.H., Parra L.C. Audience preferences are predicted by temporal reliability of neural processing. Nat Commun 2014, 5.
51. Poldrack R.A. Can cognitive processes be inferred from neuroimaging data?. Trends Cogn Sci 2006, 10:59-63.