scholarly journals Uncovering the structure of 3-D shape representations in human vision through analyses of eye movement patterns in object recognition

2010 ◽  
Vol 7 (9) ◽  
pp. 934-934
Author(s):  
C. Leek
Keyword(s):  
Object Recognition ◽  
Eye Movement ◽  
Movement Patterns ◽  
Human Vision ◽  
Shape Representations

scholarly journals The contrasting shape representations that support object recognition in humans and CNNs

2021 ◽  
Author(s):  
Gaurav Malhotra ◽  
Marin Dujmovic ◽  
John Hummel ◽  
Jeffrey S Bowers
Keyword(s):  
Neural Networks ◽  
Object Recognition ◽  
Fundamental Difference ◽  
Human Vision ◽  
Shape Representations ◽  
Enhanced Sensitivity ◽  
Human Object ◽  
Proximal Stimulus ◽  
Human Participants ◽  
Object Features

The success of Convolutional Neural Networks (CNNs) in classifying objects has led to a surge of interest in using these systems to understand human vision. Recent studies have argued that when CNNs are trained in the correct learning environment, they can emulate a key property of human vision -- learning to classify objects based on their shape. While showing a shape-bias is indeed a desirable property for any model of human object recognition, it is unclear whether the resulting shape representations learned by these networks are human-like. We explored this question in the context of a well-known observation from psychology showing that humans encode the shape of objects in terms of relations between object features. To check whether this is also true for the representations of CNNs, we ran a series of simulations where we trained CNNs on datasets of novel shapes and tested them on a set of controlled deformations of these shapes. We found that CNNs do not show any enhanced sensitivity to deformations which alter relations between features, even when explicitly trained on such deformations. This behaviour contrasted with human participants in previous studies as well as in a new experiment. We argue that these results are a consequence of a fundamental difference between how humans and CNNs learn to recognise objects: while CNNs select features that allow them to optimally classify the proximal stimulus, humans select features that they infer to be properties of the distal stimulus. This makes human representations more generalisable to novel contexts and tasks.

Eye Movement Patterns Can Distinguish Schizophrenia from the Major Affective Disorders and Healthy Control Subjects

2021 ◽  
Author(s):  
David St Clair ◽  
Graeme MacLennan ◽  
Sara A. Beedie ◽  
Eva Nouzová ◽  
Helen Lemmon ◽  
...  
Keyword(s):  
Eye Movement ◽  
Affective Disorders ◽  
Movement Patterns ◽  
Control Subjects ◽  
Healthy Control

scholarly journals Cultural variations in global and local attention and eye-movement patterns during the perception of complex visual scenes: Comparison of Czech and Taiwanese university students

PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0242501
Author(s):  
Jiří Čeněk ◽  
Jie-Li Tsai ◽  
Čeněk Šašinka
Keyword(s):  
University Students ◽  
Cultural Differences ◽  
Eye Movement ◽  
Scene Perception ◽  
Cognitive Styles ◽  
Reaction Times ◽  
Movement Patterns ◽  
Cross Cultural ◽  
Cross Cultural Differences ◽  
Global And Local

Previous research on cross-cultural differences in visual attention has been inconclusive. Some studies have suggested the existence of systematic differences in global and local attention and context sensitivity, while others have produced negative or mixed results. The objective in this study was to examine the similarities and differences in holistic and analytic cognitive styles in a sample of Czech and Taiwanese university students. Two cognitive tasks were conducted: a Compound Figures Test and a free-viewing scene perception task which manipulated several focal objects and measured eye-movement patterns. An analysis of the reaction times in the Compound Figures Test showed no clear differences between either sample. An analysis of eye-movement metrics showed certain differences between the samples. While Czechs tended to focus relatively more on the focal objects measured by the number of fixations, the Taiwanese subjects spent more time fixating on the background. The results were consistent for scenes with one or two focal objects. The results of a correlation analysis of both tasks showed that they were unrelated. These results showed certain differences between the samples in visual perception but were not as systematic as the theory of holistic and analytic cognitive styles would suggest. An alternative model of cross-cultural differences in cognition and perception is discussed.

The effects of crowding on eye movement patterns in reading

2015 ◽  
Vol 160 ◽  
pp. 23-34 ◽  
Author(s):  
Emanuela Bricolo ◽  
Carola Salvi ◽  
Marialuisa Martelli ◽  
Lisa S. Arduino ◽  
Roberta Daini
Keyword(s):  
Eye Movement ◽  
Movement Patterns
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