In recent years, the field of psychology has delved deeper into the study of psychological capital and explored various intervention methods to enhance individual psychological capital. Against this backdrop, AI-assisted collaborative painting technology has emerged as a captivating research direction, finding applications in the construction of psychological capital intervention systems. This paper aims to explore the development of an AI-assisted collaborative painting-based psychological capital intervention system and investigate its potential implications and applications within the domain of psychology. Initially, the paper introduces and elaborates on the concept of psychological capital and its significant role in psychology. Subsequently, the focus shifts to the issue of inadequate psychological capital in modern society, analyzing its underlying causes and its impact on individual psychological well-being and adaptability. Following that, the paper provides a detailed account of the principles and technical key points involved in constructing an AI-assisted collaborative painting-based psychological capital intervention system. The system will leverage data collection and analysis, real-time emotion recognition technology, and personalized intervention strategies to offer users individualized emotional recognition and intelligent intervention, aiding them in strengthening self-efficacy, fostering optimism, and igniting hope. Consequently, users will be better equipped to confront the challenges posed by modern society.

Yiqing He, Darong Liu. Construction of AI-Assisted Collaborative Painting-Based Psychological Capital Intervention System. Academic Journal of Computing & Information Science (2023), Vol. 6, Issue 8: 52-59. https://doi.org/10.25236/AJCIS.2023.060806.

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