Eye movements across advertisements express a temporal pattern of bursts of respectively relatively short and long saccades, and this pattern is systematically influenced by activated scene perception goals. This was revealed by a continuous-time hidden Markov model applied to eye movements of 220 participants exposed to 17 ads under a free-viewing condition, and a scene-learning goal (ad memorization), a scene-evaluation goal (ad appreciation), a target-learning goal (product learning), or a target-evaluation goal (product evaluation). The model reflects how attention switches between two states--local and global--expressed in saccades of shorter and longer amplitude on a spatial grid with 48 cells overlaid on the ads. During the 5- to 6-s duration of self-controlled exposure to ads in the magazine context, attention predominantly started in the local state and ended in the global state, and rapidly switched about 5 times between states. The duration of the local attention state was much longer than the duration of the global state. Goals affected the frequency of switching between attention states and the duration of the local, but not of the global, state.
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http://dx.doi.org/10.1037/1076-898X.14.2.129 | DOI Listing |
Int Ophthalmol
January 2025
Department of Ophthalmology, The Second Hospital of Jilin University, Changchun, Jilin, China.
Purpose: To evaluate the efficacy and complications of simplified graded inferior oblique anterior transposition (IOAT) in treating at least 10 PD vertical deviation in the primary position and inferior oblique muscle overaction (IOOA).
Methods: This retrospective study reviewed the medical records of 65 patients treated with simplified graded IOAT procedures for both vertical deviation and IOOA. Patients were grouped according to vertical deviation in the primary position.
Exp Brain Res
January 2025
Joseph J. Zilber College of Public Health, University of Wisconsin-Milwaukee, Milwaukee, WI, USA.
Age-related hand motor impairments may critically depend on visual information though few studies have examined eye movements during tasks of hand function in older adults. The purpose of this study was to assess eye movements and their association with performance while tracing on a touchscreen in young and older adults. Eye movements of 21 young (age 20-38 years; 12 females, 9 males) and 20 older (65-85 years; 10 females, 10 males) adults were recorded while performing an Archimedes spiral tracing task, a common clinical assessment sensitive to age-associated impairments in hand function.
View Article and Find Full Text PDFJ Vis
January 2025
Smith Kettlewell Eye Research Institute, San Francisco, CA, USA.
Macular degeneration (MD), which affects the central visual field including the fovea, has a profound impact on acuity and oculomotor control. We used a motion extrapolation task to investigate the contribution of various factors that potentially impact motion estimation, including the transient disappearance of the target into the scotoma, increased position uncertainty associated with eccentric target positions, and increased oculomotor noise due to the use of a non-foveal locus for fixation and for eye movements. Observers performed a perceptual baseball task where they judged whether the target would intersect or miss a rectangular region (the plate).
View Article and Find Full Text PDFAlcohol Clin Exp Res (Hoboken)
January 2025
Department of Psychiatry & Behavioral Neuroscience, University of Chicago, Chicago, Illinois, USA.
Background: While alcohol has been shown to impair eye movements in young adults, little is known about alcohol-induced oculomotor impairment in older adults with longer histories of alcohol use. Here, we examined whether older adults with chronic alcohol use disorder (AUD) exhibit more acute tolerance than age-matched light drinkers (LD), evidenced by less alcohol-induced oculomotor impairment and perceived impairment.
Method: Two random-order, double-blinded laboratory sessions with administration of alcohol (0.
Comput Methods Biomech Biomed Engin
January 2025
School of Computer Science and Artificial Intelligence, Aliyun School of Big Data, Changzhou University, Changzhou, P.R. China.
Slow eye movements (SEMs) are a reliable physiological marker of drivers' sleep onset, often accompanied by EEG alpha wave attenuation. A parallel multimodal 1D convolutional neural network (PM-1D-CNN) model is proposed to classify SEMs. The model uses two parallel 1D-CNN blocks to extract features from EOG and EEG signals, which are then fused and fed into fully connected layers for classification.
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