Visual exploration dynamics are low-dimensional and driven by intrinsic factors

When looking at visual images, the eyes move to the most salient and behaviourally relevant objects. Saliency and semantic information significantly explain where people look. Less is known about the spatiotemporal properties of eye movements (i.e., how people look). We show that three latent variab...

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Published inCommunications biology Vol. 4; no. 1; pp. 1100 - 14
Main Authors Zangrossi, Andrea, Cona, Giorgia, Celli, Miriam, Zorzi, Marco, Corbetta, Maurizio
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 17.09.2021
Nature Publishing Group
Nature Portfolio
Subjects
631/378/2617/1795
631/378/2649/1310
Adult
Attention
Biology
Biomedical and Life Sciences
Eye
Eye Movements
Female
Humans
Italy
Life Sciences
Male
Semantics
Students
Visual Perception
Young Adult
Italy
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Abstract When looking at visual images, the eyes move to the most salient and behaviourally relevant objects. Saliency and semantic information significantly explain where people look. Less is known about the spatiotemporal properties of eye movements (i.e., how people look). We show that three latent variables explain 60% of eye movement dynamics of more than a hundred observers looking at hundreds of different natural images. The first component explaining 30% of variability loads on fixation duration, and it does not relate to image saliency or semantics; it approximates a power-law distribution of gaze steps, an intrinsic dynamic measure, and identifies observers with two viewing styles: static and dynamic. Notably, these viewing styles were also identified when observers look at a blank screen. These results support the importance of endogenous processes such as intrinsic dynamics to explain eye movement spatiotemporal properties. Andrea Zangrossi et al. analyze individual variability in eye movements when healthy participants view images of natural scenes. Their results suggest that eye movement patterns can be summarized by three principle components, and depend more on subjects’ intrinsic characteristics than the visual contents of the scene.
AbstractList When looking at visual images, the eyes move to the most salient and behaviourally relevant objects. Saliency and semantic information significantly explain where people look. Less is known about the spatiotemporal properties of eye movements (i.e., how people look). We show that three latent variables explain 60% of eye movement dynamics of more than a hundred observers looking at hundreds of different natural images. The first component explaining 30% of variability loads on fixation duration, and it does not relate to image saliency or semantics; it approximates a power-law distribution of gaze steps, an intrinsic dynamic measure, and identifies observers with two viewing styles: static and dynamic. Notably, these viewing styles were also identified when observers look at a blank screen. These results support the importance of endogenous processes such as intrinsic dynamics to explain eye movement spatiotemporal properties.Andrea Zangrossi et al. analyze individual variability in eye movements when healthy participants view images of natural scenes. Their results suggest that eye movement patterns can be summarized by three principle components, and depend more on subjects’ intrinsic characteristics than the visual contents of the scene.
When looking at visual images, the eyes move to the most salient and behaviourally relevant objects. Saliency and semantic information significantly explain where people look. Less is known about the spatiotemporal properties of eye movements (i.e., how people look). We show that three latent variables explain 60% of eye movement dynamics of more than a hundred observers looking at hundreds of different natural images. The first component explaining 30% of variability loads on fixation duration, and it does not relate to image saliency or semantics; it approximates a power-law distribution of gaze steps, an intrinsic dynamic measure, and identifies observers with two viewing styles: static and dynamic. Notably, these viewing styles were also identified when observers look at a blank screen. These results support the importance of endogenous processes such as intrinsic dynamics to explain eye movement spatiotemporal properties.When looking at visual images, the eyes move to the most salient and behaviourally relevant objects. Saliency and semantic information significantly explain where people look. Less is known about the spatiotemporal properties of eye movements (i.e., how people look). We show that three latent variables explain 60% of eye movement dynamics of more than a hundred observers looking at hundreds of different natural images. The first component explaining 30% of variability loads on fixation duration, and it does not relate to image saliency or semantics; it approximates a power-law distribution of gaze steps, an intrinsic dynamic measure, and identifies observers with two viewing styles: static and dynamic. Notably, these viewing styles were also identified when observers look at a blank screen. These results support the importance of endogenous processes such as intrinsic dynamics to explain eye movement spatiotemporal properties.
When looking at visual images, the eyes move to the most salient and behaviourally relevant objects. Saliency and semantic information significantly explain where people look. Less is known about the spatiotemporal properties of eye movements (i.e., how people look). We show that three latent variables explain 60% of eye movement dynamics of more than a hundred observers looking at hundreds of different natural images. The first component explaining 30% of variability loads on fixation duration, and it does not relate to image saliency or semantics; it approximates a power-law distribution of gaze steps, an intrinsic dynamic measure, and identifies observers with two viewing styles: static and dynamic. Notably, these viewing styles were also identified when observers look at a blank screen. These results support the importance of endogenous processes such as intrinsic dynamics to explain eye movement spatiotemporal properties. Andrea Zangrossi et al. analyze individual variability in eye movements when healthy participants view images of natural scenes. Their results suggest that eye movement patterns can be summarized by three principle components, and depend more on subjects’ intrinsic characteristics than the visual contents of the scene.
When looking at visual images, the eyes move to the most salient and behaviourally relevant objects. Saliency and semantic information significantly explain where people look. Less is known about the spatiotemporal properties of eye movements (i.e., how people look). We show that three latent variables explain 60% of eye movement dynamics of more than a hundred observers looking at hundreds of different natural images. The first component explaining 30% of variability loads on fixation duration, and it does not relate to image saliency or semantics; it approximates a power-law distribution of gaze steps, an intrinsic dynamic measure, and identifies observers with two viewing styles: static and dynamic. Notably, these viewing styles were also identified when observers look at a blank screen. These results support the importance of endogenous processes such as intrinsic dynamics to explain eye movement spatiotemporal properties.
Andrea Zangrossi et al. analyze individual variability in eye movements when healthy participants view images of natural scenes. Their results suggest that eye movement patterns can be summarized by three principle components, and depend more on subjects’ intrinsic characteristics than the visual contents of the scene.
ArticleNumber 1100
Author Zangrossi, Andrea
Zorzi, Marco
Cona, Giorgia
Celli, Miriam
Corbetta, Maurizio
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  organization: Department of Neuroscience, University of Padova, Padova Neuroscience Center (PNC), University of Padova, Venetian Institute of Molecular Medicine, VIMM
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Snippet When looking at visual images, the eyes move to the most salient and behaviourally relevant objects. Saliency and semantic information significantly explain...
Andrea Zangrossi et al. analyze individual variability in eye movements when healthy participants view images of natural scenes. Their results suggest that eye...
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Adult
Attention
Biology
Biomedical and Life Sciences
Eye
Eye Movements
Female
Humans
Italy
Life Sciences
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Semantics
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Visual Perception
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