Home

About

Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network
FAQHELPSITE MAPCONTACT US


  Advanced Search  

 
Generalized Selection via Interactive Query Relaxation Jeffrey Heer, Maneesh Agrawala, Wesley Willett
 

Summary: Generalized Selection via Interactive Query Relaxation
Jeffrey Heer, Maneesh Agrawala, Wesley Willett
Computer Science Division and Berkeley Institute of Design
University of California, Berkeley
Berkeley, CA 94720-1776 USA
{jheer, maneesh, willettw}@cs.berkeley.edu
ABSTRACT
Selection is a fundamental task in interactive applications,
typically performed by clicking or lassoing items of
interest. However, users may require more nuanced forms
of selection. Selecting regions or attributes may be more
important than selecting individual items. Selections may
be over dynamic items and selections might be more easily
created by relaxing simpler selections (e.g., select all items
like this one). Creating such selections requires that
interfaces model the declarative structure of the selection,
not just individually selected items. We present direct
manipulation techniques that couple declarative selection
queries with a query relaxation engine that enables users to
interactively generalize their selections. We apply our

  

Source: Agrawala, Maneesh - Department of Electrical Engineering and Computer Sciences, University of California at Berkeley
O'Brien, James F. - Department of Electrical Engineering and Computer Sciences, University of California at Berkeley

 

Collections: Computer Technologies and Information Sciences