Abstract
Recently, with the rapid advancement of high-speed internet and interactive streaming technology, numerous video conferencing platforms such as Zoom, ZED, and Google Meet have been developed.. Furthermore, the COVID-19 pandemic, in particular, served as a catalyst for the global spread of online meetings and online education. This led to a significant reduction in people's resistance to online education and meetings. Nowadays, it has become common for people to use video conferencing platforms like Zoom not only for meetings but also for online education, seminars, and classes. Along with this trend, more specialized online platforms have been released, and research has been conducted on platforms that people can use more comfortably and for longer periods. This study specifically analyzes the current online video conferencing platforms from the perspective of Cognitive Overload and proposes a method to reduce Cognitive Overload. Additionally, a system was developed to address this issue. In other words, this research aims to analyze the limitations of previous online video conferencing and education platforms regarding Cognitive Overload and identity recognition, and to propose an online video conferencing and education platform that can overcome these challenges.