Paper
9 February 2006 The scanpath theory: its definition and later developments
Author Affiliations +
Proceedings Volume 6057, Human Vision and Electronic Imaging XI; 60570A (2006) https://doi.org/10.1117/12.674146
Event: Electronic Imaging 2006, 2006, San Jose, California, United States
Abstract
The scanpath theory was defined in 1971 by David Noton and Lawrence Stark in two articles that appeared in Science1 and Scientific American2, and since then it has been considered one of the most influential theory of vision and eye movements. The scanpath theory explains the vision process in a topdown fashion by proposing that an internal cognitive representation controls not only the visual perception but also the related mechanism of active looking eye movements. Evidence supporting the scanpath theory comes from experiments showing the repetitive and idiosyncratic nature of eye movements during experiments with ambiguous figures, visual imagery and dynamic scenes. Similarity metrics were defined in our analysis procedures to quantitatively compare and measure the sequence of eye fixations in different experimental conditions. More recent scanpath experiments performed using different motor read-out systems have served to better understand the structure of the visual image representation in the brain and the presence of several levels of binding. A special emphasis must be given to the role of bottom-up conspicuity elaboration in the control of the scanpath sequence and interconnection of conspicuity with such higher level cognitive representations.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Claudio M Privitera "The scanpath theory: its definition and later developments", Proc. SPIE 6057, Human Vision and Electronic Imaging XI, 60570A (9 February 2006); https://doi.org/10.1117/12.674146
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Cited by 11 scholarly publications.
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KEYWORDS
Eye

Visualization

Control systems

Eye models

Image processing

Brain

Cognitive modeling

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