Incremental Sketch Understanding for Intention Extraction in Sketch-based User Interfaces
Abstract: The inherent ambiguity of sketch-based user interfaces makes the intention extraction process quite different from traditional user interfaces. It is a critical problem of how precise computers can efficiently understand and naturally tolerate ambiguous sketch-based interactions. This paper proposes incremental sketch understanding. Based on the cognitive attributes of humans, a software framework is designed for incremental sketch understanding that is demonstrated by a note structuralizing application.