Incremental Sketch Understanding for Intention Extraction in Sketch-based User Interfaces
Yang Li
EECS Department
University of California, Berkeley
Technical Report No. UCB/CSD-03-1284
October 2003
http://www.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://www.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://www.eecs.berkeley.edu/Pubs/TechRpts/2003/5775.html %F Li:CSD-03-1284