≫ Fostering Synergy in Smart-Image Content Visual Arts and Technologies Research

• Smart-Image Content Visual-Arts Team: Conducts research in smart-image content production, high-definition video planning, digital special-effects development, and smart gaming technologies

• Smart-Image Content Visual-Technologies Team: Engages in research on video processing and restoration, AR/VR, smart interaction, artificial intelligence (AI), and immersive graphics

• Advanced Imaging Cross-Functional Team (AICFT): Conducts interdisciplinary research at the intersection of art and engineering, focusing on the planning, development, production, and dissemination of advanced, future-oriented, and smart-image content

≫ Affective AI-Based Storytelling and Image Generation for Global Cultural Content

Since 2025, our institute has been selected for the Global Humanities and Social Sciences Convergence Research Support Program (2025–2031), funded by the National Research Foundation of Korea (NRF).

This initiative aims to establish a new paradigm of emotion-centered creation by integrating human emotions and cultural contexts with artificial intelligence, moving beyond conventional data-driven approaches.

Through close international collaboration with the UCLA Art|Sci Center, we investigate cultural and emotional differences between Eastern and Western societies. Our goal is to develop emotional AI-based storytelling and audiovisual content generation technologies that resonate with global audiences.

• Emotional AI Multimodal Generation Technology

We are developing a multimodal emotional AI system by constructing a mapping framework that connects emotional keywords, meanings, and affective states. This system enables cross-modal transformation and generation across text, images, and sound.

• Real-time Emotional Feedback Interaction

We design interactive content generation environments that dynamically reflect users’ emotional feedback in real time, enabling more immersive and adaptive experiences.

• Non-linear and Decentralized Storytelling

We explore differences in memory structures and emotional expression across cultures, and experimentally implement non-linear and decentralized storytelling models based on these insights.

• Global Cultural Receptivity Analysis

We conduct both qualitative and quantitative analyses of audience reception and interpretation of AI-generated audiovisual content, aiming to identify global emotional patterns and cultural variations.