EEG-based marketing
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 c...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2012
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| Online Access: | http://hdl.handle.net/10356/50970 |
| _version_ | 1826118748634873856 |
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| author | Mohammad Rizqi Hafiyyandi. |
| author2 | Olga Sourina |
| author_facet | Olga Sourina Mohammad Rizqi Hafiyyandi. |
| author_sort | Mohammad Rizqi Hafiyyandi. |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T04:48:33Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/50970 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:48:33Z |
| publishDate | 2012 |
| record_format | dspace |
| spelling | ntu-10356/509702023-07-07T16:14:47Z EEG-based marketing Mohammad Rizqi Hafiyyandi. Olga Sourina School of Electrical and Electronic Engineering 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 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. Bachelor of Engineering 2012-12-31T01:20:19Z 2012-12-31T01:20:19Z 2012 2012 Final Year Project (FYP) http://hdl.handle.net/10356/50970 en Nanyang Technological University 80 p. application/pdf |
| spellingShingle | 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 Mohammad Rizqi Hafiyyandi. EEG-based marketing |
| title | EEG-based marketing |
| title_full | EEG-based marketing |
| title_fullStr | EEG-based marketing |
| title_full_unstemmed | EEG-based marketing |
| title_short | EEG-based marketing |
| title_sort | eeg based marketing |
| topic | 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 |
| url | http://hdl.handle.net/10356/50970 |
| work_keys_str_mv | AT mohammadrizqihafiyyandi eegbasedmarketing |