z-logo
open-access-imgOpen Access
Does disruption of a scene impair change detection?
Author(s) -
Kazuhiko Yokosawa,
Hidemichi Mitsumatsu
Publication year - 2003
Publication title -
journal of vision
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.126
H-Index - 113
ISSN - 1534-7362
DOI - 10.1167/3.1.5
Subject(s) - computer science , scene statistics , change detection , computer vision , artificial intelligence , stimulus (psychology) , representation (politics) , cognitive psychology , psychology , perception , neuroscience , politics , political science , law
When we view a scene, we generally feel that we have a rich representation of that scene. Recent research has shown, however, that we are unable to detect relatively large changes in scenes, which suggests an inability to retain the visual details from one scene view to the next. In the present study, we investigated whether we can retain and make use of global and semantic information from a scene in order to efficiently detect changes from one scene to the next. Results indicated that change detection was practically independent of scene disruption with one exception. Better performance in the meaningful scenes was observed only in the whole-scene presentation condition where the participants knew that the stimulus was extracted from the meaningful scene.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom