Eye Movements Indicate the Temporal Organisation of Information Processing in Graph Comprehension

2014 ◽  
Vol 28 (3) ◽  
pp. 360-373 ◽  
Author(s):  
Christof Körner ◽  
Margit Höfler ◽  
Barbara Tröbinger ◽  
Iain D. Gilchrist
2016 ◽  
Vol 8 (2) ◽  
pp. 74
Author(s):  
Gufran Ahmad

<p>Research studies on eye movements in area of information processing task, such as scene perception have recently advanced towards understandings of underlying visual perception mechanism and human cognitive dynamics. Besides, business applications of eye tracking are endlessly revealing groundbreaking trends based on practical scenarios. In this study, we conducted a number of eye tracking experiments to establish our hypothesis that the eye gazes based on the associative relevance found within the contexts of scenes during scene perception significantly supported the processes of decision making. The collected eye movement data from participants who viewed artistic scenes discovered that the tracks of eye gazes traversed along the existing associative relevance among the elements of scenes for decision making processes. These experimental evidences confirmed our hypothesis that the eye gazes based on associative relevance assisted in decision making processes during scene perception.</p>


2020 ◽  
Vol 127 (3) ◽  
pp. 571-586
Author(s):  
Ikumi Tochikura ◽  
Daisuke Sato ◽  
Daiki Imoto ◽  
Atsuo Nuruki ◽  
Koya Yamashiro ◽  
...  

Previous studies have reported that baseball players have higher than average visual information processing abilities and outstanding motor control. The speed and position of the baseball and the batter are constantly changing, leading skilled players to acquire highly accurate visual information processing and decision-making. This study sought to clarify how movement of the eyes is associated with baseball players’ higher coincident-timing task performance. We recruited 15 right-handed baseball players and 15 age-matched track and field athletes. On a computer-based coincident-timing task, we instructed participants to stop a computer image of a moving target by pressing a button at a designated point. We presented bidirectional moving targets with various velocities, presented in a random order. The targets’ moving angular velocity varied between 100, 83, 71, 63, 56, 50, and 46 deg/s. We conducted 168 repetitions (42 reps × 4 sets) of this coincident-timing task and measured participants’ eye movements during the task using Pupil Centre Corneal Reflection. Mixed-design analysis of variance results revealed participant group effects in favor of baseball players for timing absolute error and low absolute error, as predicted from prior visual processing and decision-making research with baseball players. However, in contrast to prior research, we found significantly shorter smooth-pursuit onset latency in elite baseball players, and there were no significant group differences for saccade onset and offset latencies. This may be explained by the difference in our research paradigm with mobile targets randomly presented at various velocities from the left and right. Our data showed baseball players’ higher than normal simultaneous timing execution for making decisions and movements based on visual information, even under laboratory conditions with randomly moving mobile targets.


2011 ◽  
Vol 70 (4) ◽  
pp. 223-231 ◽  
Author(s):  
Petra C. Schmid ◽  
Marianne Schmid Mast ◽  
Dario Bombari ◽  
Fred W. Mast ◽  
Janek S. Lobmaier

Existing research shows that a sad mood hinders emotion recognition. More generally, it has been shown that mood affects information processing. A happy mood facilitates global processing and a sad mood boosts local processing. Global processing has been described as the Gestalt-like integration of details; local processing is understood as the detailed processing of the parts. The present study investigated how mood affects the use of information processing styles in an emotion recognition task. Thirty-three participants were primed with happy or sad moods in a within-subjects design. They performed an emotion recognition task during which eye movements were registered. Eye movements served to provide information about participants’ global or local information processing style. Our results suggest that when participants were in a happy mood, they processed information more globally compared to when they were in a sad mood. However, global processing was only positively and local processing only negatively related to emotion recognition when participants were in a sad mood. When they were in a happy mood, processing style was not related to emotion recognition performance. Our findings clarify the mechanism that underlies accurate emotion recognition, which is important when one is aiming to improve this ability (i.e., via training).


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