Yang Li

EECS Department
University of California, Berkeley
Technical Report No. UCB/CSD-03-1284
October 2003

http://www2.eecs.berkeley.edu/Pubs/TechRpts/2003/CSD-03-1284.pdf

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.

BibTeX citation:

@techreport{Li:CSD-03-1284,
    Author = {Li, Yang},
    Title = {Incremental Sketch Understanding for Intention Extraction in Sketch-based User Interfaces},
    Institution = {EECS Department, University of California, Berkeley},
    Year = {2003},
    Month = {Oct},
    URL = {http://www2.eecs.berkeley.edu/Pubs/TechRpts/2003/5775.html},
    Number = {UCB/CSD-03-1284},
    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.}
}

EndNote citation:

%0 Report
%A Li, Yang
%T Incremental Sketch Understanding for Intention Extraction in Sketch-based User Interfaces
%I EECS Department, University of California, Berkeley
%D 2003
%@ UCB/CSD-03-1284
%U http://www2.eecs.berkeley.edu/Pubs/TechRpts/2003/5775.html
%F Li:CSD-03-1284