Work

Visual consonance: An analytical framework for 3D biomedical animation

Year: 2016
Type: dissertation
Abstract: As an emerging medium of 3D animation, 3D biomedical animation has become a solid and important facet for communicating complex biological knowledge. This PhD research developed visual consonance as an analytical framework for providing conceptual guidance to animators while producing 3D biomedical animation. Specifically, it examines and combines the twelve principles of animation and the twelve principles of multimedia learning to generate this analytical framework. Visual consonance provides theoretical guidelines for 3D biomedical animators during the decision-making process and helps them become goal-orientated when producing 3D biomedical animations that are cognitively engaging to the target audiences. Visual consonance can also be used as an analytical tool to understand and critique the current constructional elements of 3D biomedical animation.
Language: English
Open Access status: green
OpenAlex ID: W2562172089
Cites: 100
Cited by:
Related to: 10