Public service antismoke announcements (PSA) are essential tools for promoting messagesworthy of society. In 2015 the Italian Government released an anti-smoking PSA to raise young people’sawareness of the smoking dangers. To demonstrate the effectiveness of that campaign, the present studyinvestigated the mental response of 56 participants while watching the PSA through theElectroencephalogram (EEG). The EEG is frequently employed in neuromarketing to face the limitationsof verbal declarations, allowing to evaluate the advertisings’ efficacy objectively. The present studyanalyzed the PSA, considering the smoking habit of participants by dividing them into smokers and nonsmokers. Some main segments of the PSA were identified and separately analyzed for evidencing themost effective part for the anti-smoking message. Three main EEG indexes have been explored in theanalysis: mental engagement index (ME), spectral asymmetry index (SASI), and the mental effort index.The t-test performed on the index values showed an increase of the ME and the SASI for smokerscompared to non-smokers (p<0.005). While the repeated measures ANOVA pointed out that the indexeswere differently modulated by the parts of the PSA, showing the effectiveness of the smoking symptoms’description and the claim at the brain level.
Brain Response to Antismoking PSA, an EEG Study
Giulia Cartocci
2020-01-01
Abstract
Public service antismoke announcements (PSA) are essential tools for promoting messagesworthy of society. In 2015 the Italian Government released an anti-smoking PSA to raise young people’sawareness of the smoking dangers. To demonstrate the effectiveness of that campaign, the present studyinvestigated the mental response of 56 participants while watching the PSA through theElectroencephalogram (EEG). The EEG is frequently employed in neuromarketing to face the limitationsof verbal declarations, allowing to evaluate the advertisings’ efficacy objectively. The present studyanalyzed the PSA, considering the smoking habit of participants by dividing them into smokers and nonsmokers. Some main segments of the PSA were identified and separately analyzed for evidencing themost effective part for the anti-smoking message. Three main EEG indexes have been explored in theanalysis: mental engagement index (ME), spectral asymmetry index (SASI), and the mental effort index.The t-test performed on the index values showed an increase of the ME and the SASI for smokerscompared to non-smokers (p<0.005). While the repeated measures ANOVA pointed out that the indexeswere differently modulated by the parts of the PSA, showing the effectiveness of the smoking symptoms’description and the claim at the brain level.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

