Emot Act AR: Tailoring Content Through User Emotion and Activity Analysis
Somaiieh Rokhsaritalemi, Abolghasem Sadeghi‐Niaraki, Soo-Mi Choi · 2024
In an era characterized by immersive content delivery experiences, the convergence of augmented reality (AR) and user behavior data stands out as a transformative synergy. This paper introduces “Emot Act AR,” an innovative system intricately designed to dynamically tailor virtual content by user data. This framework incorporates user emotions and activities as intrinsic components. Through the utilization of sensing devices like camera and advanced AI models, the system dynamically customizes virtual elements, such as virtual flowers, in both static and dynamic settings. Additionally, the system utilizes user activity data to activate messaging avatars that encourage exercise.