EDTECH ONLINE ADVERTAINMENT VIDEOS EVALUATION FOR VIEWERS ATTENTION AND ATTRACTION FROM FEEDBACKS AND FACIAL EXPRESSION THROUGH REGRESSION MODELING

Abstract

Information & communication technology is applied foranalyzing the effect and the cognition of viewers perception after viewing the full content of the advertisement of EdTech online advertisement videos [1].  The Edtech online videos advertainmentare designed attractively using audio visual presentation with graphics and animations to grab viewers’ attention and build trust towards online learning platforms[2].  The EdTech online learning brought a revolutionary change in Indian education.  Edtech video advertisement explainsthe one-to-one live classes with more features such as two-way audio, whiteboarding tools, video with graphics and animations.  These features create perfect online platform and makes learning easy, reduces doubts, offers the best virtual knowledge. The viewers perception is evaluated through facial expression, while watching the Edtech video advertisements. In this paper, Indian EdTech video advertisement such as Byju’s, Vadhatha, Extramarks and Topper is for viewers attraction and attention evaluation in the video. The video viewers react to advertisement by facial expressions and emotions weighted and created a dataset. The facial expression includes smile, eye gaze, head movement, and no movements. The feelings of viewers i collected  through questionaries. The linear regression model predicts preferred learning app with feedback surveys, facial expression ratings and video content for attraction. The model predicts attractionand attention of the Byju’s as highly preferred learning app, due to content in the video content such as graphics and animations.