Consumer behaviour analysis using EEG signals for Neuromarketing Application

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019.

Bibliographic Details
Main Authors: Amin, Chowdhury Rabith, Hasin, Mirza Farhan, Leon, Tasin Shafi, Aurko, Abrar Bareque
Other Authors: Parvez, Mohammad Zavid
Format: Thesis
Language:en_US
Published: Brac University 2020
Subjects:
Online Access:http://hdl.handle.net/10361/14050
id 10361-14050
record_format dspace
spelling 10361-140502022-01-26T10:15:47Z Consumer behaviour analysis using EEG signals for Neuromarketing Application Amin, Chowdhury Rabith Hasin, Mirza Farhan Leon, Tasin Shafi Aurko, Abrar Bareque Parvez, Mohammad Zavid Department of Computer Science and Engineering, Brac University Neuromarketing EEG Neuropsychology Marketing Strategy Consumer This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019. Cataloged from PDF version of thesis. Includes bibliographical references (pages 42-46). Neuromarketing is applying neuropsychology in marketing research which studies consumer sensory-motor such as cognitive and affective response to marketing stimuli with the help of modern technologies. It is one of the most recent marketing research strategies and might be the future of marketing research. In our study, we demonstrated how marketing may benefit from Neuromarketing through analysing consumer behavior with the help of EEG signal. Consumer’s responses toward marketing strategies and their behavior towards purchasing or selecting products or goods can be studied and analyzed for a better producer and consumer relationship. To do so we took a sample of our population for collecting EEG signals of different ages, groups and gender for a better understanding of consumer behavior towards a marketing policy. Through analyzing the data we tried to uncover how and why they like certain marketing policies and how different part of the human brain reacts while those marketing policies are applied to them.We used some machine learning approaches where Decision Tree achieved highest accuracy of 95%. We also tested whether neuropsychological measures can capture differences in consumer’s actions in different marketing stimuli. And also if studies in this field can bring a change and improve marketing strategies for the betterment of both producer and consumer and result in the mutual benefit of both. We believe that neuropsychological measures soon will be widely acknowledged and used as a complimentary method in classical marketing research. We tried to contribute to this field by doing as much as we could with our work. Chowdhury Rabith Amin Mirza Farhan Hasin Tasin Shafi Leon Abrar Bareque Aurko B. Computer Science 2020-10-07T06:23:47Z 2020-10-07T06:23:47Z 2019 2019-12 Thesis ID: 19341022 ID: 19341027 ID: 19341023 ID: 19341021 http://hdl.handle.net/10361/14050 en_US Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 46 pages application/pdf Brac University
institution Brac University
collection Institutional Repository
language en_US
topic Neuromarketing
EEG
Neuropsychology
Marketing Strategy
Consumer
spellingShingle Neuromarketing
EEG
Neuropsychology
Marketing Strategy
Consumer
Amin, Chowdhury Rabith
Hasin, Mirza Farhan
Leon, Tasin Shafi
Aurko, Abrar Bareque
Consumer behaviour analysis using EEG signals for Neuromarketing Application
description This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019.
author2 Parvez, Mohammad Zavid
author_facet Parvez, Mohammad Zavid
Amin, Chowdhury Rabith
Hasin, Mirza Farhan
Leon, Tasin Shafi
Aurko, Abrar Bareque
format Thesis
author Amin, Chowdhury Rabith
Hasin, Mirza Farhan
Leon, Tasin Shafi
Aurko, Abrar Bareque
author_sort Amin, Chowdhury Rabith
title Consumer behaviour analysis using EEG signals for Neuromarketing Application
title_short Consumer behaviour analysis using EEG signals for Neuromarketing Application
title_full Consumer behaviour analysis using EEG signals for Neuromarketing Application
title_fullStr Consumer behaviour analysis using EEG signals for Neuromarketing Application
title_full_unstemmed Consumer behaviour analysis using EEG signals for Neuromarketing Application
title_sort consumer behaviour analysis using eeg signals for neuromarketing application
publisher Brac University
publishDate 2020
url http://hdl.handle.net/10361/14050
work_keys_str_mv AT aminchowdhuryrabith consumerbehaviouranalysisusingeegsignalsforneuromarketingapplication
AT hasinmirzafarhan consumerbehaviouranalysisusingeegsignalsforneuromarketingapplication
AT leontasinshafi consumerbehaviouranalysisusingeegsignalsforneuromarketingapplication
AT aurkoabrarbareque consumerbehaviouranalysisusingeegsignalsforneuromarketingapplication
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