A Computer Vision-Driven Framework for Interactive Visual Communication in Mobile Environments

In the digital age, visual communication design is shifting from static aesthetics to dynamic interaction. This paper examines how computer vision can enhance interactivity in mobile environments. This study propose a real-time interactive framework that captures user behavior, analyzes intent, and dynamically updates visual feedback. Grounded in human-computer interaction principles, the model bridges technical logic and user experience. The system leverages camera-based input and lightweight vision algorithms for on-device processing. Experimental results show improved response, coherence, and user satisfaction compared to traditional designs. The framework supports adaptive, context-aware interactions on handheld and wearable devices. The results contribute to mobile HCI by advancing responsive visual design for immersive and user-centered applications. Findings offer practical guidance for designing intelligent, perception-driven interfaces in real-world mobile contexts.