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).

翻译：我们研究了生成式人工智能（AI）在通过创意表达反映作者认知过程方面的潜力与局限性。重点聚焦于AI生成艺术作品理解人类意图（对齐性）以及基于创造力、美学、新颖性、趣味性和深度等标准视觉化呈现情感的能力。结果表明，基于作者情感描述的图像比基于主要事件的图像更受青睐。同时发现，过度强调特定元素或刻板印象的图像会对AI对齐产生负面影响。我们的研究表明，AI能够促进创造力与情感的自我表达。基于生成式AI的研究框架可为心理健康教育、治疗与咨询等相关领域的AI干预方案设计提供支持。