scholarly journals Eye movement patterns during scene viewing predict individual differences

2016 ◽  
Vol 16 (12) ◽  
pp. 329
Author(s):  
Taylor Hayes ◽  
John Henderson
Keyword(s):  
Individual Differences ◽  
Eye Movement ◽  
Movement Patterns ◽  
Scene Viewing

Curious eyes: Individual differences in personality predict eye movement behavior in scene-viewing

Cognition ◽  
2012 ◽  
Vol 122 (1) ◽  
pp. 86-90 ◽  
Author(s):  
Evan F. Risko ◽  
Nicola C. Anderson ◽  
Sophie Lanthier ◽  
Alan Kingstone
Keyword(s):  
Individual Differences ◽  
Eye Movement ◽  
Movement Behavior ◽  
Scene Viewing

scholarly journals Eye movement patterns and visual attention during scene viewing in 3- to 12-month-olds

2016 ◽  
Vol 33 ◽  
Author(s):  
ANDREA HELO ◽  
PIA RÄMÄ ◽  
SEBASTIAN PANNASCH ◽  
DAVID MEARY
Keyword(s):  
Eye Movement ◽  
Movement Patterns ◽  
First Year ◽  
Attentional Processing ◽  
Fixation Durations ◽  
Feature Processing ◽  
Scene Viewing ◽  
Image Inspection ◽  
Object Feature ◽  
First Year Of Life

AbstractRecently, two attentional modes have been associated with specific eye movement patterns during scene processing. Ambient mode, characterized by short fixations and long saccades during early scene inspection, is associated with localization of objects. Focal mode, characterized by longer fixations, is associated with more detailed object feature processing during later inspection phase. The aim of the present study was to investigate the development of these attentional modes. More specifically, we examined whether indications of ambient and focal attention modes are similar in infants and adults. Therefore, we measured eye movements in 3- to 12-months-old infants while exploring visual scenes. Our results show that both adults and 12-month-olds had shorter fixation durations within the first 1.5 s of scene viewing compared with later time phases (>2.5 s); indicating that there was a transition from ambient to focal processing during image inspection. In younger infants, fixation durations between two viewing phases did not differ. Our results suggest that at the end of the first year of life, infants have developed an adult-like scene viewing behavior. The evidence for the existence of distinct attentional processing mechanisms during early infancy furthermore underlines the importance of the concept of the two modes.

scholarly journals Eye movement analysis with hidden Markov models (EMHMM) with co-clustering

2021 ◽  
Author(s):  
Janet H. Hsiao ◽  
Hui Lan ◽  
Yueyuan Zheng ◽  
Antoni B. Chan
Keyword(s):  
Individual Differences ◽  
Eye Tracking ◽  
Hidden Markov Models ◽  
Eye Movement ◽  
Markov Models ◽  
Hidden Markov ◽  
Movement Patterns ◽  
Movement Analysis ◽  
Background Information ◽  
Eye Movement Analysis

AbstractThe eye movement analysis with hidden Markov models (EMHMM) method provides quantitative measures of individual differences in eye-movement pattern. However, it is limited to tasks where stimuli have the same feature layout (e.g., faces). Here we proposed to combine EMHMM with the data mining technique co-clustering to discover participant groups with consistent eye-movement patterns across stimuli for tasks involving stimuli with different feature layouts. Through applying this method to eye movements in scene perception, we discovered explorative (switching between the foreground and background information or different regions of interest) and focused (mainly looking at the foreground with less switching) eye-movement patterns among Asian participants. Higher similarity to the explorative pattern predicted better foreground object recognition performance, whereas higher similarity to the focused pattern was associated with better feature integration in the flanker task. These results have important implications for using eye tracking as a window into individual differences in cognitive abilities and styles. Thus, EMHMM with co-clustering provides quantitative assessments on eye-movement patterns across stimuli and tasks. It can be applied to many other real-life visual tasks, making a significant impact on the use of eye tracking to study cognitive behavior across disciplines.

Eye movements when dividing Attention between a Tracking Task and Instrument Displays

1986 ◽  
Vol 30 (8) ◽  
pp. 790-794 ◽  
Author(s):  
Shigeru Haga ◽  
Neville Moray
Keyword(s):  
Individual Differences ◽  
Eye Movements ◽  
Eye Movement ◽  
Dynamic Environment ◽  
Movement Patterns ◽  
Tracking Task ◽  
Control Panel ◽  
Marked Individual ◽  
On Demand ◽  
Observing Response

In many tasks such as train driving, the operator must divide his attention between viewing a dynamic environment and viewing instruments on a control panel. Such a situation was simulated and eye movements were recorded in two conditions, (I) when all displays were continuously visible, and (II) when instruments could only be viewed on demand by means of an observing response. Eye movement patterns were far more constrained in the second condition, and there were marked individual differences. In Condition I, attention was more homogeneously distributed. The results are thought to be relevant to the design of CRT-based displays.

scholarly journals Effects of individual differences in verbal skills on eye-movement patterns during sentence reading

2011 ◽  
Vol 65 (1) ◽  
pp. 42-73 ◽  
Author(s):  
Victor Kuperman ◽  
Julie A. Van Dyke
Keyword(s):  
Individual Differences ◽  
Eye Movement ◽  
Movement Patterns ◽  
Verbal Skills ◽  
Sentence Reading

scholarly journals Eye Movements during dynamic scene viewing are affected by visual attention skills and events of the scene: Evidence from first-person shooter gameplay videos

2021 ◽  
Vol 14 (2) ◽  
Author(s):  
Suvi Holm ◽  
Tuomo Häikiö ◽  
Konstantin Olli ◽  
Johanna Kaakinen
Keyword(s):  
Individual Differences ◽  
Eye Movements ◽  
Visual Attention ◽  
Eye Movement ◽  
First Person ◽  
Dynamic Scene ◽  
Attention Tasks ◽  
Scene Viewing ◽  
The Individual ◽  
First Person Shooter

The role of individual differences during dynamic scene viewing was explored. Participants (N=38) watched a gameplay video of a first-person shooter (FPS) videogame while their eye movements were recorded. In addition, the participants’ skills in three visual attention tasks (attentional blink, visual search, and multiple object tracking) were assessed.  The results showed that individual differences in visual attention tasks were associated with eye movement patterns observed during viewing of the gameplay video. The differences were noted in four eye movement measures: number of fixations, fixation durations, saccade amplitudes and fixation distances from the center of the screen. The individual differences showed during specific events of the video as well as during the video as a whole. The results highlight that an unedited, fast-paced and cluttered dynamic scene can bring about individual differences in dynamic scene viewing.

Information Processing vs Visual Attention during Incidental Learning

1976 ◽  
Vol 43 (2) ◽  
pp. 555-561 ◽  
Author(s):  
Richard A. Wyrick ◽  
Vincent J. Tempone ◽  
Jack Capehart
Keyword(s):  
Information Processing ◽  
Individual Differences ◽  
Visual Attention ◽  
Eye Movement ◽  
Discrimination Training ◽  
Incidental Learning ◽  
Intentional Learning ◽  
Order Information ◽  
Level Of Training ◽  
The Relationship

The relationship between attention and incidental learning during discrimination training was studied in 30 children, aged 10 to 11. A polymetric eye-movement recorder measured direct visual attention. Consistent with previous findings, recall of incidental stimuli was greatest during the initial and terminal stages of intentional learning. Contrary to previous explanations, however, visual attention to incidental stimuli was not related to training. While individual differences in attention to incidental stimuli were predictive of recall, attention to incidental stimuli was not related to level of training. Results suggested that changes in higher order information processing rather than direct visual attention were responsible for the curvilinear learning of incidental stimuli during intentional training.

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
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