EEG analysis of the brain activity during the observation of commercial, political, or public service announcements

Giovanni Vecchiato, Laura Astolfi, Alessandro Tabarrini, Serenella Salinari, Donatella Mattia, Febo Cincotti, Luigi Bianchi, Domenica Sorrentino, Fabio Aloise, Ramon Soranzo, Fabio Babiloni

Research output: Contribution to journalArticlepeer-review

Abstract

The use of modern brain imaging techniques could be useful to understand what brain areas are involved in the observation of video clips related to commercial advertising, as well as for the support of political campaigns, and also the areas of Public Service Announcements (PSAs). In this paper we describe the capability of tracking brain activity during the observation of commercials, political spots, and PSAs with advanced high-resolution EEG statistical techniques in time and frequency domains in a group of normal subjects. We analyzed the statistically significant cortical spectral power activity in different frequency bands during the observation of a commercial video clip related to the use of a beer in a group of 13 normal subjects. In addition, a TV speech of the Prime Minister of Italy was analyzed in two groups of swing and supporter voters. Results suggested that the cortical activity during the observation of commercial spots could vary consistently across the spot. This fact suggest the possibility to remove the parts of the spot that are not particularly attractive by using those cerebral indexes. The cortical activity during the observation of the political speech indicated a major cortical activity in the supporters group when compared to the swing voters. In this case, it is possible to conclude that the communication proposed has failed to raise attention or interest on swing voters. In conclusions, high-resolution EEG statistical techniques have been proved to able to generate useful insights about the particular fruition of TV messages, related to both commercial as well as political fields.

Original languageEnglish
Article number985867
JournalComputational Intelligence and Neuroscience
Volume2010
DOIs
Publication statusPublished - 2010

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)
  • Neuroscience(all)

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