Abstract
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.
https://ror.org/01an57a31 
