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Pathways to Consumers’ Minds: Using Machine Learning and Multiple EEG Metrics to Increase Preference Prediction Above and Beyond Traditional Measurements
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Spectral EEG frontal asymmetries correlate with the experienced pleasantness of TV commercial advertisements
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Electronic evaluation for video commercials by impression index
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The neuroscience of consumer choice
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Choice modeling and the brain: A study on the Electroencephalogram (EEG) of preferences
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Consumer neuroscience: Assessing the brain response to marketing stimuli using electroencephalogram (EEG) and eye tracking
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Electrophysiological correlates of anticipating improbable but desired events
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Prefrontal brain electrical asymmetry predicts the evaluation of affective stimuli
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Anterior electrophysiological asymmetries, emotion, and depression: Conceptual and methodological conundrums
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Telling more than we can know: Verbal reports on mental processes.
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Analysis of neurophysiological reactions to advertising stimuli by means of EEG and galvanic skin response measures.
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Predicting purchase decision: The role of hemispheric asymmetry over the frontal cortex.
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Audience preferences are predicted by temporal reliability of neural processing
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Self-affirmation alters the brain’s response to health messages and subsequent behavior change
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What Teachers Should Know About the Bootstrap: Resampling in the Undergraduate Statistics Curriculum
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Social Desirability Bias and the Validity of Indirect Questioning
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A Ticket for Your Thoughts: Method for Predicting Content Recall and Sales Using Neural Similarity of Moviegoers
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DEAP: A Database for Emotion Analysis ;Using Physiological Signals
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Ordinal Regression Methods: Survey and Experimental Study
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The distributed neuronal systems supporting choice‐making in real‐life situations: differences between men and women when choosing groceries detected using magnetoencephalography
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Intersubject Synchronization of Cortical Activity During Natural Vision
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Gender and Age Related Effects While Watching TV Advertisements: An EEG Study
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Marketing Strategy Implications of the Miles and Snow Strategic Typology
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The Threats to Marketing Research
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The Threats to Marketing Research: An Empirical Reappraisal
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From Neural Responses to Population Behavior
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Neural Affective Mechanisms Predict Market-Level Microlending
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Neuroforecasting Aggregate Choice
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Choosing Prediction Over Explanation in Psychology: Lessons From Machine Learning
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Attention and Brain Activity While Watching Television: Components of Viewer Engagement
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Neural Activity Reveals Preferences without Choices
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Assessing the Bias of Preference, Detection, and Identification Measures of Discrimination Ability in Product Design
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Using EEG to Predict Consumers’ Future Choices
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Brain Responses to Movie Trailers Predict Individual Preferences for Movies and Their Population-Wide Commercial Success
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inferredcites →https://doi.org/10.3389/fnhum.2012.00112openalex-snapshot
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Consumer Neuroscience-Based Metrics Predict Recall, Liking and Viewing Rates in Online Advertising
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Permutation Tests for Studying Classifier Performance
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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A gateway to consumers' minds: Achievements, caveats, and prospects of electroencephalography‐based prediction in neuromarketing
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EEG Signals Based Choice Classification for Neuromarketing Applications
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Consumers’ Preference Recognition Based on Brain–Computer Interfaces: Advances, Trends, and Applications
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Neuroforecasting reveals generalizable components of choice
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EEGs as potential predictors of virtual agents’ acceptance
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Frontal Left Alpha Activity as an Indicator of Willingness to Interact with Virtual Agents: A pilot study
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Electroencephalography Studies on Marketing Stimuli: A Literature Review and Future Research Agenda
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The Brain Knows What You Prefer: Using EEG to Decode AR Input Preferences
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A systematic review of the prediction of consumer preference using EEG measures and machine-learning in neuromarketing research
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The synergy of neuromarketing and artificial intelligence: A comprehensive literature review in the last decade
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Do negative emotions in social advertising really work? Confrontation of classic vs. EEG reaction toward advertising that promotes safe driving
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BCI-Based Consumers' Choice Prediction From EEG Signals: An Intelligent Neuromarketing Framework
inferred← citeshttps://doi.org/10.3389/fnhum.2025.1542574openalex-snapshot
Machine learning-based viewers’ preference prediction on social awareness advertisements using EEG
inferred← citeshttps://doi.org/10.3389/fnint.2019.00019openalex-snapshot
Can Brain Waves Really Tell If a Product Will Be Purchased? Inferring Consumer Preferences From Single-Item Brain Potentials
inferred← citeshttps://doi.org/10.3390/app10041525openalex-snapshot
Deep Learning for EEG-Based Preference Classification in Neuromarketing
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