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ITfResch: Customer Neuroscience Data Collection and Analysis IT Strategic Planning for Memorizing COVID-19 Advertisements
5th IEEE International Conference on Information Technology, Information Systems and Electrical Engineering, ICITISEE 2021 ; : 376-380, 2021.
Article in English | Scopus | ID: covidwho-1709053
ABSTRACT
The Coronavirus Disease-2019 (COVID-19) outbreak is a global emergency, and this pandemic has been going on for more than a year. It is crucial to provide health information regarding how to prevent COVID-19 to the public to gain the health awareness. Conventional research in consumer behavior and marketing sees the human organism as a "black box"that cannot be assessed directly or physiologically. Consumer neuroscience has the significant benefit for the research to understand the consumer behavior. On the other hand, conducting the research can be similar like Information Technology (IT) project. It can lead to failure if not been conducted properly and do not have a proper guidance. This urgency encourages us to proposed Information Technology for Research (ITfResch) IT strategic planning for data collecting and analyzing of visual COVID-19 advertisements to minimize the risk of research failure. By using bioinformatics-neuroscience devices such as Electroencephalogram (EEG) and Functional Magnetic Resonance Imaging (fMRI) can help to understand the reaction of human brain while see the advertisement - which COVID-19 advertisement grabs the attention of people and gets them to memorize it. © 2021 IEEE.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 5th IEEE International Conference on Information Technology, Information Systems and Electrical Engineering, ICITISEE 2021 Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 5th IEEE International Conference on Information Technology, Information Systems and Electrical Engineering, ICITISEE 2021 Year: 2021 Document Type: Article