2016
DOI: 10.2501/jar-2016-016
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Decoding Neural Responses to Emotion in Television Commercials: An Integrative Study of Self-Reporting and fMRI Measures

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Cited by 44 publications
(33 citation statements)
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“…Although they do not employ this term, practically all interviewees coincide in highlighting the difficulty for using neuromarketing as the sole technique in market research, putting forward the need to combine it with other traditional techniques, developing what some call “mixed designs” or “hybrid models” whose greatest usefulness would be to eliminate the subjectivity which they consider a characteristic of affirmative techniques. This conclusion is in line with the proposals of authors such as Baraybar-Fernández et al (2017) who have defended this type of combined designs or Shen and Morris (2016) suggesting that, in order to improve efficacy in advertising research, neuromarketing techniques and conventional ones should be integrated into the same design.…”
Section: Discussionsupporting
confidence: 86%
See 1 more Smart Citation
“…Although they do not employ this term, practically all interviewees coincide in highlighting the difficulty for using neuromarketing as the sole technique in market research, putting forward the need to combine it with other traditional techniques, developing what some call “mixed designs” or “hybrid models” whose greatest usefulness would be to eliminate the subjectivity which they consider a characteristic of affirmative techniques. This conclusion is in line with the proposals of authors such as Baraybar-Fernández et al (2017) who have defended this type of combined designs or Shen and Morris (2016) suggesting that, in order to improve efficacy in advertising research, neuromarketing techniques and conventional ones should be integrated into the same design.…”
Section: Discussionsupporting
confidence: 86%
“…Faced with the advantages and restrictions which any social research technique brings up – both the more traditional ones which have been in use for decades and the newer ones – Shen and Morris (2016) suggest that to improve the efficiency of advertising research, as long as they are sufficiently proven, both should be integrated into the same design. Marketing researchers should see neuromarketing, not as a way of replacing the traditional methods and models but as something complementary which helps improve our grasp and interpretation of human behavior ( Cherubino et al, 2019 ).…”
Section: Introductionmentioning
confidence: 99%
“…In fact, fMRI scanners are easily available compared to other neuroimaging tools. Several fMRI studies investigate many cognitive phenomena, such as sensory perception, attention, arousal, emotion, engagement, memory, reward and valence (McClure et al, 2004 ; Deppe et al, 2005 ; Esmaeili et al, 2011 ; Santos et al, 2012 ; Ruanguttamanun, 2014 ; Sebastian, 2014 ; Koestner et al, 2016 ; Shen and Morris, 2016 ). fMRI is a suitable tool to study consumer preferences for visual stimuli (e.g., videos, images).…”
Section: Characteristics Of Consumer Neuroscience Toolsmentioning
confidence: 99%
“…fMRI is used to test advertisement effectiveness for product images. In particular, fMRI can be used to investigate the hemodynamics response (brain activations) in brain regions responsible of these phenomena (Morris et al, 2009 ; Kühn et al, 2016 ; Shen and Morris, 2016 ; Jung et al, 2018 ; Casado-Aranda et al, 2019 ). As it has a low temporal resolution, fMRI might not always be suitable for measuring brain activity during the view of audio-visual stimuli, due to the quick changes in the scenes (Zurawicki, 2010 ).…”
Section: Main Applications In Marketingmentioning
confidence: 99%
“…Although previous studies have demonstrated that consumer neuroscience studies with small sample sizes can produce predictive results and significant insights (Berns and Moore, 2012;Smidts et al, 2014;Shen and Morris, 2016;Christoforou et al, 2017), the use of larger samples could broaden the generalizability of the findings.…”
Section: Limitations and Further Researchmentioning
confidence: 99%