  We investigated the potential and limitations of generative artificial
intelligence (AI) in reflecting the authors' cognitive processes through
creative expression. The focus is on the AI-generated artwork's ability to
understand human intent (alignment) and visually represent emotions based on
criteria such as creativity, aesthetic, novelty, amusement, and depth. Results
show a preference for images based on the descriptions of the authors' emotions
over the main events. We also found that images that overrepresent specific
elements or stereotypes negatively impact AI alignment. Our findings suggest
that AI could facilitate creativity and the self-expression of emotions. Our
research framework with generative AIs can help design AI-based interventions
in related fields (e.g., mental health education, therapy, and counseling).
