MoodMonster: Integrating AI and Art for Emotional Journaling

With the continuous evolution of artificial intelligence technology, its role in the field of mental health has become increasingly prominent. This paper focuses on mental sub-healthy people, based on journal-based psychological interventions and emotion-focused therapy, combined with mental health theories to explore the application of artificial intelligence in emotion-regulating journaling tools, whose core functions include: generating healing cartoon illustrations and images from user's journal text, recognizing textual emotions and guiding the user to express their emotions in a more positive language with personalized images, and anonymous sharing. Finally, the user research confirms its effectiveness and feasibility in regulating users' emotions and meeting users' needs for personalized journal records. From a deeper level, this paper is a useful attempt to improve the self-knowledge and emotion management ability of mental sub-healthy people with the help of artificial intelligence technology.