Literature DB >> 25571599

An electroencephalographic Peak Density Function to detect memorization during the observation of TV commercials.

G Vecchiato, G Di Flumeri, A G Maglione, P Cherubino, W Kong, A Trettel, F Babiloni.   

Abstract

Nowadays, there is a growing interest in measuring the impact of advertisements through the estimation of cerebral reactions. Several techniques and methods are used and discussed in the consumer neuroscience. In such a context, the present paper provides a novel method to estimate the level of memorization occurred in subjects during the observation of TV commercials. In particular, the present work introduce the Peak Density Function (PDF) as an electroencephalographic (EEG) time-varying variable which is correlated with the cerebral events of memorization of TV commercials. The analysis has been performed on the EEG activity recorded on twenty healthy subjects during the exposition to several advertisements. After the EEG recordings, an interview has been performed to obtain the information about the memorized scenes for all the video clips watched by the subjects. Such information has been put in correlation with the occurrence of transient peaks of EEG synchronization in the theta band, by computing the PDF. The present results show that the increase of PDF is positively correlated, scene by scene, (R=0.46, p<;0.01) with the spontaneous recall of subjects. This technology could be of help for marketers to overcome the drawbacks of the standard marketing tools (e.g., interviews, focus groups) when analyzing the impact of advertisements.

Mesh:

Year:  2014        PMID: 25571599     DOI: 10.1109/EMBC.2014.6945231

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  2 in total

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Journal:  Front Comput Neurosci       Date:  2016-07-15       Impact factor: 2.380

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Authors:  Gianluca Borghini; Pietro Aricò; Gianluca Di Flumeri; Giulia Cartocci; Alfredo Colosimo; Stefano Bonelli; Alessia Golfetti; Jean Paul Imbert; Géraud Granger; Railane Benhacene; Simone Pozzi; Fabio Babiloni
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  2 in total

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