dc.contributor.advisor | Parvez, Mohammad Zavid | |
dc.contributor.author | Amin, Chowdhury Rabith | |
dc.contributor.author | Hasin, Mirza Farhan | |
dc.contributor.author | Leon, Tasin Shafi | |
dc.contributor.author | Aurko, Abrar Bareque | |
dc.date.accessioned | 2020-10-07T06:23:47Z | |
dc.date.available | 2020-10-07T06:23:47Z | |
dc.date.copyright | 2019 | |
dc.date.issued | 2019-12 | |
dc.identifier.other | ID: 19341022 | |
dc.identifier.other | ID: 19341027 | |
dc.identifier.other | ID: 19341023 | |
dc.identifier.other | ID: 19341021 | |
dc.identifier.uri | http://hdl.handle.net/10361/14050 | |
dc.description | This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019. | en_US |
dc.description | Cataloged from PDF version of thesis. | |
dc.description | Includes bibliographical references (pages 42-46). | |
dc.description.abstract | 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. | en_US |
dc.description.statementofresponsibility | Chowdhury Rabith Amin | |
dc.description.statementofresponsibility | Mirza Farhan Hasin | |
dc.description.statementofresponsibility | Tasin Shafi Leon | |
dc.description.statementofresponsibility | Abrar Bareque Aurko | |
dc.format.extent | 46 pages | |
dc.language.iso | en_US | en_US |
dc.publisher | Brac University | en_US |
dc.rights | 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. | |
dc.subject | Neuromarketing | en_US |
dc.subject | EEG | en_US |
dc.subject | Neuropsychology | en_US |
dc.subject | Marketing Strategy | en_US |
dc.subject | Consumer | en_US |
dc.title | Consumer behaviour analysis using EEG signals for Neuromarketing Application | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | Department of Computer Science and Engineering, Brac University | |
dc.description.degree | B. Computer Science | |