The central fixation bias in scene viewing: Selecting an optimal viewing position independently of motor biases and image feature distributions
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Abstract
Observers show a marked tendency to fixate the center of the screen when viewing scenes on computer monitors. This is often assumed to arise because image features tend to be biased toward the center of natural images and fixations are correlated with image features. A common alternative explanation is that experiments typically use a central pre-trial fixation marker, and observers tend to make small amplitude saccades. In the present study, the central bias was explored by dividing images post hoc according to biases in their image feature distributions. Central biases could not be explained by motor biases for making small saccades and were found irrespective of the distribution of image features. When the…
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Topics
Keywords
- Fixation (population genetics)
- Computer vision
- Artificial intelligence
- Eye movement
- Observer (physics)
- Computer science
- Feature (linguistics)
- Physics
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