The application discloses a
graphical content product for presenting behavior demonstration to non-human animals and a generation method and
system thereof, and belongs to the technical field of cross of
artificial intelligence,
computer graphics and
animal behavior. The product contains a dynamic visual
data stream, the rendering perspective of which is bound with the viewpoint of a first AI
virtual image; wherein the visual form of the first AI
virtual image is configured to be associated with a target
animal species. The scheme drives the
virtual image to perform a specific behavior sequence through programmable driving, and generates a visual
stream in a strict first-person perspective, thereby constructing a "digital avatar subjective experience" highly adapted to the egocentric cognitive mode of the watching animal. The generation method includes providing a species-associated virtual image, constructing an environment, driving a behavior sequence, and rendering a first-person perspective dynamic visual
stream. The application solves the cognitive mapping difficulty and low guiding efficiency problems existing in the current third-person animal demonstration video, and can be widely applied in
companion animal training, working animal professional training,
livestock management and
animal behavior research, and provides a standardized, programmable and efficient new paradigm of cross-species
visual guidance.