scholarly journals Temporal Dynamics of Visual Attention Allocation

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Jongmin Moon ◽  
Seonggyu Choe ◽  
Seul Lee ◽  
Oh-Sang Kwon
2018 ◽  
Vol 18 (10) ◽  
pp. 1025
Author(s):  
Seonggyu Choe ◽  
Jongmin Moon ◽  
Oh-sang Kwon

2003 ◽  
Vol 10 (4) ◽  
pp. 884-889 ◽  
Author(s):  
M. Kathryn Bleckley ◽  
Francis T. Durso ◽  
Jerry M. Crutchfield ◽  
Randall W. Engle ◽  
Maya M. Khanna

2011 ◽  
pp. 944-962
Author(s):  
Florian Schmidt-Weigand

This chapter introduces eye tracking as a method to observe how the split of visual attention is managed in multimedia learning. The chapter reviews eye tracking literature on multirepresentational material. A special emphasis is devoted to recent studies conducted to explore viewing behavior in learning from dynamic vs. static visualizations and the matter of pacing of presentation. A presented argument is that the learners’ viewing behavior is affected by design characteristics of the learning material. Characteristics like the dynamics of visualization or the pace of presentation only slightly influence the learners’ visual strategy, while user interaction (i.e., learner controlled pace of presentation) leads to a different visual strategy compared to system-paced presentation. Taking viewing behavior as an indicator of how split attention is managed the harms of a split source format in multimedia learning can be overcome by implementing a user interaction that allows the learner to adapt the material to perceptual and individual characteristics.


2012 ◽  
Vol 33 (5) ◽  
pp. 1012.e1-1012.e10 ◽  
Author(s):  
Frédéric Peters ◽  
Anne-Marie Ergis ◽  
Serge Gauthier ◽  
Bénédicte Dieudonné ◽  
Marc Verny ◽  
...  

2021 ◽  
Vol 15 ◽  
Author(s):  
Jacinta A. Walz ◽  
Revathy Mani ◽  
Mohammed M. Alnawmasi ◽  
Sieu K. Khuu

Traumatic Brain Injury (TBI) is defined by changes in brain function resulting from external forces acting on the brain and is typically characterized by a host of physiological and functional changes such as cognitive deficits including attention problems. In the present study, we focused on the effect of TBI on the ability to allocate attention in vision (i.e., the use of endogenous and exogenous visual cues) by systematically reviewing previous literature on the topic. We conducted quantitative synthesis of 16 selected studies of visual attention following TBI, calculating 80 effect size estimates. The combined effect size was large (g = 0.79, p < 0.0001) with medium heterogeneity (I2 = 68.39%). Subgroup analyses revealed an increase in deficit with moderate-to-severe and severe TBI as compared to mild TBI [F(2, 76) = 24.14, p < 0.0001]. Task type was another key source of variability and subgroup analyses indicated that higher order attention processes were severely affected by TBI [F(2, 77) = 5.66, p = 0.0051). Meta-regression analyses revealed significant improvement in visual attention deficit with time [p(mild) = 0.031, p(moderate-to-severe) = 0.002, p(severe) < 0.0001]. Taken together, these results demonstrate that visual attention is affected by TBI and that regular assessment of visual attention, using a systematic attention allocation task, may provide a useful clinical measure of cognitive impairment and change after TBI.


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