Evaluating the Secondary Emotional Impact of Traditional and AI-Generated Artwork Outcomes Through Emotional Feedback
摘要
Many studies have explored the interactive content and emotional regulation in art therapy; however, these studies have overlooked the impact of different tools on emotions during and after experiments. This study investigates the impact of different tools in traditional painting (paper-pencil and iPad) and AIGC painting (text-to-image and voice-to-video) on participants’ emotions. Subjective emotional measures from SAM and PANAS were analyzed using one-way ANOVA. The results indicate that AIGC voice-to-video achieved the highest emotional satisfaction both during and after painting, while AIGC methods generally outperformed traditional painting in terms of positive emotional satisfaction post-painting. The study found that AIGC painting, particularly voice-to-video, provides greater immersion and positive emotional feedback, whereas traditional methods may trigger frustration due to skill limitations. This study highlights the importance of incorporating interactive elements such as voice and video into art therapy, and emphasizes the influence of painting outcomes on therapeutic effects. Future research should explore multisensory interactions and the gradual development of painting skills to enhance emotional arousal and therapeutic outcomes.