As digital humans increasingly emerge as prominent virtual entities in contemporary media, particularly across rapidly evolving platforms such as short-form video, livestreaming, and AI-generated animation, characters characterized by high realism and distinct personas have garnered substantial scholarly and commercial interest. Despite their growing prevalence, audience perceptions of digital humans remain complex and insufficiently understood. To address this gap, the present study examines the influence of Perceptibility and User Experience on audience Satisfaction, with the aim of identifying key determinants that enhance user engagement with digital human characters. Grounded in a comprehensive review of relevant literature, this study proposes a theoretical model and formulates research hypotheses that incorporate key constructs, including Perceptibility, Perceptual quality, Perceived Ease of Use, Multi-sensory Experience, User Experience, Flow, Sense of Belonging, Affinity, and Satisfaction. Liu Yexi, a widely recognized digital human character, was selected as the focal subject for empirical analysis. Data were collected via an online survey, yielding 300 valid responses, and were analyzed using Structural Equation Modeling (SEM) with SPSS and AMOS. The direct effect of User Experience on Satisfaction was not statistically significant(95% bootstrap CI included zero). Additionally, Flow and Affinity exerted significant indirect effects on Satisfaction via User Experience, whereas the indirect effect of Sense of Belonging was weak. These results provide valuable insights into the experiential dynamics of digital human engagement and offer important implications for the design, implementation, and enhancement of virtual characters in media environments.

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