Computational Approaches to Reading and Scene Perception
1st Edition
Published on 19. November 2012
Book
Hardback
264 pages
978-1-84872-770-0 (ISBN)
Description
What we see and understand about the visual world is tightly tied to where we direct our eyes. High-resolution visual information is acquired from only a very limited region of the scene surrounding the fixation point, with the quality of visual input falling off precipitously from central vision into a low-resolution visual surround. This special issue of Visual Cognition brings together cutting-edge research from eight research groups around the world whose work is focused on these important topics. The goal of this special issue is to facilitate a constructive convergence of behavioral data and computational modeling to explore the fundamental nature of attention control, and particularly eye movement control, in viewing complex visual input.
More details
Series
Language
English
Place of publication
Hove
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Academic and Professional
Dimensions
Height: 234 mm
Width: 156 mm
Weight
572 gr
ISBN-13
978-1-84872-770-0 (9781848727700)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
John Henderson
Computational Approaches to Reading and Scene Perception
Book
10/2024
1st Edition
Taylor & Francis
€69.51
Shipment within 10-20 days
Person
John M. Henderson is College of Arts and Sciences Distinguished Professor Chair in the Department of Psychology at the University of South Carolina, USA.
Content
1. Introduction: Computational Approaches to Reading and Scene Perception John M. Henderson 2. Eye movements in reading versus non-reading tasks: Using E-Z Reader to understand the role of word/stimulus familiarity Erik D. Reichle, Keith Rayner and Alexander Pollatsek 3. The zoom lens of attention: Simulating shuffled versus normal text reading using the SWIFT model Daniel J. Schad and Ralf Engbert 4. The utility of modelling word identification from visual input within models of eye movements in reading Klinton Bicknell and Roger Levy 5. Using CRISP to model global characteristics of fixation durations in scene viewing and reading with a common mechanism Antje Nuthmann and John M. Henderson 6. Eye movement prediction and variability on natural video data sets Michael Dorr, Eleonora Vig and Erhardt Barth 7. TAM: Explaining off-object fixations and central fixation tendencies as effects of population averaging during search Gregory J. Zelinsky 8. Modelling the influence of central and peripheral information on saccade biases in gaze-contingent scene viewing Tom Foulsham and Alan Kingstone 9. Influence of the amount of context learned for improving object classification when simultaneously learning object and contextual cues Sophie Marat and Laurent Itti