Design of intelligent psychological cloud service application

Abstract

Amid the rapid advancement of information technology, mental health services face both significant opportunities and challenges in digital transformation. This paper proposes a psychological intelligence cloud service application design that integrates digital art creation with AI-powered digital human technology, aiming to provide users with a non-clinical, creative, and continuous emotional support platform. By combining art therapy concepts, human-computer interaction design principles, natural language processing, and generative AI technologies, we have developed a comprehensive service system encompassing user interfaces, digital creation tools, emotion recognition mechanisms, and digital human interaction modules. The research employs methods such as literature review, existing platform analysis, and conceptual design, emphasizing data privacy compliance, cultural adaptability, and personalized experiences. In terms of evaluation, mixed-methods approaches were used to measure user behavior data and emotional improvement effects, validating the platforms potential in enhancing users psychological well-being. Ultimately, this application demonstrates strong scalability and global applicability for future development, particularly suitable for daily psychological support and emotional expression for individuals with mild emotional distress, social impairments, or creative users.