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    •   BracU IR
    • School of Engineering and Computer Science (SECS)
    • Department of Computer Science and Engineering (CSE)
    • Thesis & Report, BSc (Computer Science and Engineering)
    • View Item
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    Consumer behaviour analysis using EEG signals for Neuromarketing Application

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    19341022, 19341027, 19341023, 19341021_CSE.pdf (1.220Mb)
    Date
    2019-12
    Publisher
    Brac University
    Author
    Amin, Chowdhury Rabith
    Hasin, Mirza Farhan
    Leon, Tasin Shafi
    Aurko, Abrar Bareque
    Metadata
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    URI
    http://hdl.handle.net/10361/14050
    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.
    Keywords
    Neuromarketing; EEG; Neuropsychology; Marketing Strategy; Consumer
     
    Description
    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).
    Department
    Department of Computer Science and Engineering, Brac University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

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