With the wider adoption of VR and rapid advances in generative AI, film and animation are shifting
from flat viewing to highly immersive experiences. AI-driven capabilities—such as character motion
and facial-expression synthesis, affect simulation, scene generation, and interactive response—
enhance realism and interactivity in VR film and animation. This paper reviews these applications
in terms of immersive experience design, emotional pacing, workflow optimization, and personalized
audience responsiveness, and then uses a questionnaire survey and data analysis to test their effects
on audience experience and emotional transmission. Results show higher ratings for VR than
traditional viewing in visual immersion, presence, and narrative engagement; immersion,
entertainment, aesthetic experience, and interaction comfort are positively associated with emotional
responses, which further relate to intentions to rewatch and recommend. The discussion also proposes
practical guidance for production and compliance governance, emphasizing ethical and privacy
safeguards in collecting emotion-related data.
With the wider adoption of VR and rapid advances in generative AI, film and animation are shifting
from flat viewing to highly immersive experiences. AI-driven capabilities—such as character motion
and facial-expression synthesis, affect simulation, scene generation, and interactive response—
enhance realism and interactivity in VR film and animation. This paper reviews these applications
in terms of immersive experience design, emotional pacing, workflow optimization, and personalized
audience responsiveness, and then uses a questionnaire survey and data analysis to test their effects
on audience experience and emotional transmission. Results show higher ratings for VR than
traditional viewing in visual immersion, presence, and narrative engagement; immersion,
entertainment, aesthetic experience, and interaction comfort are positively associated with emotional
responses, which further relate to intentions to rewatch and recommend. The discussion also proposes
practical guidance for production and compliance governance, emphasizing ethical and privacy
safeguards in collecting emotion-related data.