EEG and Eye Tracker Solution Design To Determine The Attractive COVID-19 e-Flyer Maria Seraphina Astriani (a*), Lee Huey Yi (b), Andreas Kurniawan (a)
a) Computer Science Department, Faculty of Computing and Media
Bina Nusantara University
Jakarta, Indonesia 11480
*seraphina[at]binus.ac.id
b) Neuroscience Business School
Barcelona, Spain 08001
Abstract
Coronavirus disease (COVID-19) pandemic is a global outbreak and causing the global economy hiccup. Researchers still need to contribute and continue doing the research with limited fund to deal with the COVID-19 problem. The government continues to remind people to follow the health protocols and encourage them to get the COVID-19 vaccine. E-flyer is one of the methods used to provide information to the public, however the challenges is how to find out which kind of e-flyer can attract people^s attention. fMRI is a good device for capturing human brain activity but expensive, so it will be difficult to be used in this challenging situation. We propose a less expensive solution design by using EEG and eye tracker based on customer neuroscience approach. The combination of EEG and eye tracker can help determine brain activity very well to find out what kind of COVID-19 e-flyer can attract people^s attention.
