Computational Modeling of Consumer Psychology in Digital Media Art Toys: A Structural Equation Analysis of Baby Three Products

This study employs computational structural equation modeling to explore the psychological dynamics driving consumer engagement with digital media art toys, using the Baby Three series as a case study. The computational model incorporates five latent variables: Aesthetic Pleasure, Emotional Resonance, Creative Involvement, Psychological Attachment, and Emotional Relief. Through algorithmic analysis in AMOS software on 284 valid digital questionnaires, the results validate the model's fit with empirical data, leveraging iterative optimization techniques for latent variable estimation. Consumer experiences initiate from Aesthetic Pleasure, which computationally drives positive influences on Emotional Resonance and Creative Involvement within digital art contexts. The model reveals Emotional Resonance as the strongest predictor of Psychological Attachment, facilitated by digital narrative elements. Findings demonstrate that Psychological Attachment serves as the primary mediator for Emotional Relief, with no direct effects from Emotional Resonance or Creative Involvement, underscoring the need for deep emotional bonds in digital media art toys to achieve therapeutic outcomes. These insights provide evidence-based strategies for art toy brands, emphasizing computational design innovations, digital narrative marketing, and online community operations in the realm of digital media arts.