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.
The goal of this special issue of Visual Cognition 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.
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
John M. Henderson is College of Arts and Sciences Distinguished Professor Chair in the Department of Psychology at the University of South Carolina, USA.
