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Reliability of EEG Metrics for Assessing Video Advertisements

Bibliographic Data

ID21422902
AuthorsRosanne M van Diepen (0000-0002-9635-1109, Erasmus University Rotterdam), Maarten A S Boksem (0000-0002-9370-6007, Erasmus University Rotterdam), Ale Smidts (0000-0002-6699-1172, Erasmus University Rotterdam, corresponding author)
Year2025
Volume54
Issue4
Pages506-526
Publication date2025-08-08
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Advertising (JOURNAL)
Journal identifiersISSN: 0091-3367 • E-ISSN: 1557-7805
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/00913367.2024.2418109
OpenAlexW4405222748
LanguageEN
Citations received1
References cited39

Electroencephalography (EEG) is well suited to examine the effectiveness of television (TV) commercials because of its high temporal resolution. EEG metrics have been linked to market-level success of advertisements (ads) and to distinctive psychological processes relevant to ad testing research. However, evidence for reliability of these metrics is scarce. We assessed the reliability of six EEG metrics (alpha, beta, gamma, theta, alpha-asymmetry, intersubject correlation [ISC]) commonly used in advertising research in relation to sample size and repetitive ad viewing. We analyzed EEG data from 116 participants viewing 13 TV commercials that promoted various brands. For each metric, reliability was examined by computing the extent to which commercials scored similarly across independent samples of participants. We also assessed the reliability of the temporal pattern of peaks and troughs of each metric within a commercial. Results indicated that the reliability of EEG metrics differed markedly and ranged from poor (alpha-asymmetry) to good (alpha, beta) to excellent (ISC), while repeated viewings of ads improved reliability. Sample sizes between 30 and 40 were required for most metrics to reliably assess overall performance of an ad, whereas more participants were needed to reliably track the temporal pattern. Guidelines have been provided for the neuromarketing industry

Advertising · Business · Electroencephalography · Reliability (semiconductor) · Applied Psychology · Computer Science · EEG and Brain-Computer Interfaces · Neural and Behavioral Psychology Studies · Neural dynamics and brain function · Psychology

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Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo

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