Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/50970
Title: EEG-based marketing
Authors: Mohammad Rizqi Hafiyyandi.
Keywords: DRNTU::Visual arts and music::Animation
DRNTU::Social sciences::Psychology::Affection and emotion
DRNTU::Business::Advertising::Advertising method
DRNTU::Engineering::Electrical and electronic engineering::Electronic systems
Issue Date: 2012
Abstract: Recent improvements in information technologies have encouraged shifts and innovations in media, marketing, and advertising industry. Practitioners and researches are looking for alternative ways to understand and engage consumers, and findings of neuroscience have paved the way to scrutinise both conscious and subconscious human behavior. This final year project report elaborates the theoretical and the practical process of creation of an emotion-adaptive advertisement. Theories on marketing and advertising, visual processing, emotion model and induction, as well as emotion recognition using EEG signal are investigated. Implementation tools and software are reviewed. The proposed emotion-adaptive advertisement uses different visual stimuli to induce valence, arousal, and dominance levels of emotion. It receives emotion labels from processed EEG signal from a neuroheadset. Multiple levels of induction stimuli were created in the case of viewers who are less perceptible to emotion induction stimuli.
URI: http://hdl.handle.net/10356/50970
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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