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.
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1 Introduction: "Computational Approaches to Reading and Scene Perception" |
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1 | (3) |
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2 Eye movements in reading versus nonreading tasks: Using E-Z Reader to understand the role of word/stimulus familiarity |
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4 | (31) |
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3 The zoom lens of attention: Simulating shuffled versus normal text reading using the SWIFT model |
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35 | (31) |
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4 The utility of modelling word identification from visual input within models of eye movements in reading |
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66 | (35) |
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5 Using CRISP to model global characteristics of fixation durations in scene viewing and reading with a common mechanism |
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101 | (38) |
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6 Eye movement prediction and variability on natural video data sets |
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139 | (20) |
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7 TAM: Explaining off-object fixations and central fixation tendencies as effects of population averaging during search |
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159 | (31) |
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8 Modelling the influence of central and peripheral information on saccade biases in gaze-contingent scene viewing |
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190 | (34) |
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9 Influence of the amount of context learned for improving object classification when simultaneously learning object and contextual cues |
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224 | (23) |
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| Index |
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247 | |
John M. Henderson is College of Arts and Sciences Distinguished Professor Chair in the Department of Psychology at the University of South Carolina, USA.
