Bee AR Teacher Collaborative Learning Augmented Reality Framework

Collaborative learning is crucial to be applied in the field of education especially when teaching the students to achieve effective learning. Since the spread of COVID-19, home learning has now been widely implemented and learning methods are generally transformed from conservative ones that required face-to-face meetings to online (using an internet connection as a medium). Teachers have experienced difficulties because the interactions and collaboration that usually can be obtained in offline (face-to-face) sessions do not occur during online sessions. The use of Augmented Reality technology is believed to solve this problem. However, the current framework is quite difficult to be find and also rarely discusses collaborative learning topic. Researchers see a gap and try to bridge it by developing an Augmented Reality framework called Bee AR Teacher for collaborative learning. Bee AR Teacher collaborative learning framework is expected to be able to help developers or researchers to create Augmented Reality solutions that can help teachers create their own applications so it can be used by the students.Copyright © 2022 Wolters Kluwer Medknow Publications. All rights reserved.

Memorize COVID-19 Advertisement: Customer Neuroscience Data Collection Techniques by Using EEG and fMRI

Coronavirus Disease (COVID-19) confirmed cases in the world still occurred more than 1.5 years after the first cases outbreak in Wuhan, China. Education is a main key to deal with this pandemic. The information on how to prevent COVID-19 continues to be informed by direct approach and by using advertisements on television, radio, printed media, and on the internet are being provided to gain the awareness to the people. Consumer neuroscience is necessarily needed and important for understanding consumer behavior. This research paper proposed the techniques to collect the visual data of COVID-19 advertisements by using electroencephalogram (EEG) and Functional Magnetic Resonance Imaging (fMRI) to understand the brain activity. The results of this research can be useful to create a better COVID-19 advertisement that can attract people to memorize the health protocol. © 2021 IEEE.

Eye Tracking and Head Movement-Orientation Solution Design to Perceive People's Mind while Seeing COVID-19 Advertisements

Knowing what's on someone's mind might be challenging because only that person knows what's on their mind. COVID-19 advertisements are public service announcements, which raise public awareness of the issues occurred. A solution is needed to be able to find out what kind of advertisements attract someone to be memorized and to make COVID-19 advertisements even better. It is difficult to get the information in people's mind when they see the COVID-19 advertisement, a method and tools are needed to be able to mine the information which represent the human mind. We proposed the solution design based on Internet of Things (IoT) by using glasses to detect and record eye movements by using heat map. Accelerometer and gyroscope embedded in glasses are also needed to capture the head movement-orientation to perceive the gaze information to find out the pattern which COVID-19 advertisements can attract their attention to be memorized. © 2021 IEEE.

ITfResch: Customer Neuroscience Data Collection and Analysis IT Strategic Planning for Memorizing COVID-19 Advertisements

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.