AHFE Open AccessEmotion Regulation Strategies and the Innovative Design of AIGC Interactive Healing Images
Abstract
The study explores a new approach to Artificial Intelligence Generated Content (AIGC) in interactive healing image design based on Gross's emotion regulation theory. By deeply analyzing the emotion regulation theory, this study proposes for the first time an innovative design framework that integrates emotion recognition, real-time adjustment and content generation. The framework focuses on the automated recognition and classification of emotions, the adjustment of real-time emotion regulation strategies, and the generation of personalized content, aiming to enhance the user's healing interactive experience.This paper provides new ideas and guidance for the application of AIGC technology in the field of interactive healing images, which has important theoretical and practical implications. Future research can further explore the practical application effects of these design principles and technical strategies.
Keywords: Emotion Regulation Theory, AIGC, Interactive Healing Imaging, Innovative design
DOI: 10.54941/ahfe1005617
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