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Eye movements while reading with screen magnification (which requires manual scrolling to center the magnified portion of the screen within the viewport) pose interpretation challenges. Standard representations in terms of alternating fixations and saccades don't apply to this case. This is because, during scrolling, eyes often track a moving text element, generating a movement akin to smooth pursuit. We propose a new representation that uses information from the mouse (which the reader uses to move the center of magnification) to undo the effect of magnification and scrolling. After this "compensation" operation, gaze tracks can again be described as alternating fixations and saccades. We present an analysis of gaze tracks obtained by applying this transformation on an existing dataset, recorded from low vision readers using two modalities of screen magnification. This analysis highlights similarities and differences in terms of dynamic properties of compensated gaze tracks vis-à-vis gaze during regular reading.

Postmortem human eyes were subjected to optic nerve (ON) traction in adduction and elevated intraocular pressure (IOP) to investigate scleral surface deformations. We incrementally adducted 11 eyes (age 74.1 ± 9.3 years, standard deviation) from 26° to 32° under normal IOP, during imaging of the posterior globe, for analysis by three-dimensional digital image correlation (3D-DIC). In the same eyes, we performed uniaxial tensile testing in multiple regions of the sclera, ON, and ON sheath. Based on individual measurements, we analyzed eye-specific finite element models (FEMs) simulating adduction and IOP loading. Analysis of 3D-DIC showed that the nasal sclera up to 1 mm from the sheath border was significantly compressed during adduction. IOP elevation from 15 to 30 mmHg induced strains less than did adduction. Tensile testing demonstrated ON sheath stiffening above 3.4% strain, which was incorporated in FEMs of adduction tethering that was quantitatively consistent with changes in scleral deformation from 3D-DIC. Simulated IOP elevation to 30 mmHg did not induce scleral surface strains outside the ON sheath. ON tethering in incremental adduction from 26° to 32° compressed the nasal and stretched the temporal sclera adjacent to the ON sheath, more so than IOP elevation. The effect of ON tethering is influenced by strain stiffening of the ON sheath.

Details of the anatomy and behavior of the structures responsible for human eye movements have been extensively elaborated since the first modern biomechanical models were introduced. Based on these findings, a finite element model of human ocular adduction is developed based on connective anatomy and measured optic nerve (ON) properties, as well as active contractility of bilaminar extraocular muscles (EOMs), but incorporating the novel feature that globe translation is not otherwise constrained so that realistic kinematics can be simulated. Anatomy of the hemisymmetric model is defined by magnetic resonance imaging. The globe is modeled as suspended by anatomically realistic connective tissues, orbital fat, and contiguous ON. The model incorporates a material subroutine that implements active EOM contraction based on fiber twitch characteristics. Starting from the initial condition of 26° adduction, the medial rectus (MR) muscle was commanded to contract as the lateral rectus (LR) relaxed. We alternatively modeled absence or presence of orbital fat. During pursuit-like adduction from 26 to 32°, the globe translated 0.52 mm posteriorly and 0.1 mm medially with orbital fat present, but 1.2 mm posteriorly and 0.1 mm medially without fat. Maximum principal strains in the optic disk and peripapillary reached 0.05-0.06, and von-Mises stress 96 kPa. Tension in the MR orbital layer was ~ 24 g-force after 6° adduction, but only ~ 3 gm-f in the whole LR. This physiologically plausible simulation of EOM activation in an anatomically realistic globe suspensory system demonstrates that orbital connective tissues and fat are integral to the biomechanics of adduction, including loading by the ON.

Vertical gaze palsy, a neurological impairment affecting the upward and downward movement of the eyes, can be caused by various disorders. Understanding this phenomenon is essential for accurate diagnosis and effective management. This review aims to present a practical overview of vertical gaze palsy, its manifestation in various movement disorders, and the clinical relevance of such impairments. We did a thorough non-systematic search of the literature in PubMed with various keywords such as 'gaze palsy', 'vertical gaze palsy', 'gaze abnormality', and 'eye movement disorder'. Vertical gaze palsy can manifest in various disorders such as Parkinson's disease, atypical Parkinsonian syndromes, Niemann-Pick disease type C, Wilson's disease, Whipple's disease, prion disease, and several others. This comprehensive review elucidates the spectrum of movement disorders linked to vertical gaze palsy, exploring the specific ways it manifests and the complexities in diagnosing the condition. The list of movement disorders causing vertical gaze palsy is extremely wide, encompassing neurodegenerative, metabolic, infectious, autoimmune disorders, and intoxication with certain substances and specific medications. The differential diagnosis consists of various etiologies with heterogeneous presentations that may overlap and mimic each other. We hope that this paper will assist practitioners in managing the complex process of diagnosing a patient with vertical gaze palsy. [ABSTRACT FROM AUTHOR]

Eye typing interfaces enable a person to enter text into an interface using only their own eyes. But despite the inherent advantages of touchless operation and intuitive design, such eye-typing interfaces often suffer from slow typing speeds, resulting in slow words per minute (WPM) counts. In this study, we add word and letter prediction to the eye-typing interface and investigate users' typing performance as well as their subjective experience while using the interface. In experiment 1, we compared three typing interfaces with letter prediction (LP), letter + word prediction (L + WP), and no prediction (NoP), respectively. We found that the interface with L + WP achieved the highest average text entry speed (5.48 WPM), followed by the interface with LP (3.42 WPM), and the interface with NoP (3.39 WPM). Participants were able to quickly understand the procedural design for word prediction and perceived this function as very helpful. Compared to LP and NoP, participants needed more time to familiarize themselves with L + WP in order to reach a plateau regarding text entry speed. Experiment 2 explored training effects in L + WP interfaces. Two moving speeds were implemented: slow (6.4 ° /s same speed as in experiment 1) and fast (10 ° /s). The study employed a mixed experimental design, incorporating moving speeds as a between-subjects factor, to evaluate its influence on typing performance throughout 10 consecutive training sessions. The results showed that the typing speed reached 6.17 WPM for the slow group and 7.35 WPM for the fast group after practice. Overall, the two experiments show that adding letter and word prediction to eye-typing interfaces increases typing speeds. We also find that more extended training is required to achieve these high typing speeds. [ABSTRACT FROM AUTHOR]

The purpose of this study was to investigate the divergent viewpoints regarding fearful stimuli in young children by analyzing variations in eye movement tracking and detection rates when confronted with the sudden appearance of either snakes or lizards. A total of 137 five to six-year-old Chinese children (43.8% male) participated in the study, which utilized the inattentional blindness paradigm. The results indicated that young children did not display any attentional bias toward snakes when compared with lizards, as evidenced by their detection rates and eye movement tracking. Interestingly, the children fixated on lizards earlier than snakes. These findings suggest that the notion of an evolution bias toward ancestral threats may not be as credible as previously believed. [ABSTRACT FROM AUTHOR]

The visual perception of interior architecture plays a crucial role in real estate marketing, influencing the decisions of buyers, interior architects, and real estate agents. These professionals rely on personal assessments of space, often drawing from their experience of using décor to influence how interiors are perceived. While intuition may validate some approaches, this study explores an under-examined aspect of interior design using a mobile eye-tracking device. It investigates how decorative elements affect spatial perception and offers insights into how individuals visually engage with interior environments. By integrating décor into the analysis of interior architecture, this study broadens the traditional scope of the field, demonstrating how décor composition can modulate spatial perception using eye-tracking technology. Results show that effective styling can redirect attention from key architectural elements, sometimes causing them to be overlooked during the critical first moments of observation commonly known as the "first impression". These findings have important implications for interior design practice and architectural education. [ABSTRACT FROM AUTHOR]

Background: Eye-movement can reflect cognition and provide information on the neurodegeneration, such as Alzheimer's disease (AD). The high cost and limited accessibility of eye-movement recordings have hindered their use in clinics. Aims: We aim to develop an AI-driven eye-tracking tool for assessing AD using mobile devices with embedded cameras. Methods: 166 AD patients and 107 normal controls (NC) were enrolled. The subjects completed eye-movement tasks on a pad. We compared the demographics and clinical features of two groups. The eye-movement features were selected using least absolute shrinkage and selection operator (LASSO). Logistic regression (LR) model was trained to classify AD and NC, and its performance was evaluated. A nomogram was established to predict AD. Results: In training set, the model showed a good area under curve (AUC) of 0.85 for identifying AD from NC, with a sensitivity of 71%, specificity of 84%, positive predictive value of 0.87, and negative predictive value of 0.65. The validation of the model also yielded a favorable discriminatory ability with the AUC of 0.91, sensitivity, specificity, positive predictive value, and negative predictive value of 82%, 91%, 0.93, and 0.77 to identify AD patients from NC. Discussion and Conclusions: This novel AI-driven eye-tracking technology has the potential to reliably identify differences in eye-movement abnormalities in AD. The model shows excellent diagnostic performance in identifying AD based on the current data collected. The use of mobile devices makes it accessible for AD patients to complete tasks in primary clinical settings or follow up at home. [ABSTRACT FROM AUTHOR]

Background: The early identification of Alzheimer's disease (AD) benefits patients, so creating a simple and convenient method is crucial for diagnosing early symptoms. Objective: To offer a potential approach for the early detection of both AD and mild cognitive impairment (MCI). Methods: Eye movement data from 66 patients were divided into three groups, including healthy control group (HC), MCI group, and AD group. We searched for parameters that can detect MCI at an early stage and drew receiver operating characteristic (ROC) curves. The correlation between eye movement parameters and cognitive scores was analyzed. Results: The MCI group differed from the HC group in error correction rate of antisaccade (p = 0.008) and total offset degrees (>4°) (p = 0.011) of lateral fixation. The AD group had different overlap prosaccade accuracy (p = 0.025), latency (p = 0.009) and average completion time (p = 0.015), gap prosaccade latency (p = 0.005) and average completion time (p = 0.005), antisaccade accuracy (p = 0.006), error correction rate (p < 0.001) and average saccade velocity (p = 0.035), and lateral fixation accuracy (p = 0.018), total offset degrees (>4°) (p = 0.041) compared to the HC group. The AD group differed significantly from the MCI group in accuracy (p = 0.001) and error correction rate (p = 0.044) of antisaccades, the latency (p = 0.009) and average completion time (p = 0.025) of overlap prosaccade and the latency (p = 0.038) of gap prosaccade, these parameters can serve as indicators to monitor the progress of the disease. Lateral fixation combined with antisaccade was more conducive to identifying MCI patients with the area under the ROC curve of 0.837. Most eye movement parameters had a light to moderate correlation with cognitive scores. Conclusions: Eye movements can be used for early identification of MCI/AD patients and to monitor disease progression. [ABSTRACT FROM AUTHOR]

This meta-analysis examined how focus guided the allocation of readers' attention in natural reading of Chinese and English. After the literature search and screening, 15 eye movement experimental studies were obtained, and Cohen's d effect values (consisting of 480 subjects and 552 groups of experimental materials) were extracted to explore the focus effect values of various eye movement indicators and to explore whether they are regulated by focus marking and language type. The indices of first fixation time (FFD), gaze time (GD), total fixation time (TFD), and regression path reading time were selected for analysis. The findings were as follows: (1) In the focus condition, the first fixation time, the gaze duration, and the total fixation time of focus in the target region were shorter. They had medium effects. (2) Subgroup analysis revealed no difference in the effect size between Chinese and English media or in the types of focus marking (focus particles vs. syntactic markers). Additionally, the focus effect was not adjusted. This indicates that focus, as a special grammatical marker, has the characteristics of stably attracting attention resources and promoting information processing faster, regardless of language type and marking method. Nonetheless, it is easily influenced by other language rules. [ABSTRACT FROM AUTHOR]

To evaluate the cognitive load of Chinese basic-level categories, eye movement measures of naturalistic reading and proofreading tasks were used. 36 participants completed two reading tasks, each involving 21 groups of sentences containing category terms of varying levels. The results indicate that the difficulty of reading tasks does not influence initial category processing, but only affects late overall processing. The cognitive economy of basic-level categories appears as the difficulty and complexity of reading tasks increase. Specifically, in the proofreading task, the cognitive load of basic-level categories is lower than that of the subordinate categories. The processing difficulty of basic-level categories in naturalistic reading is equivalent to that of the superordinate category in the overall processing. Furthermore, generalisation plays the same role as gestalt in the judgment of category cognitive economy. It results in smaller differences in processing difficulty and cognitive load between the superordinate and basic-level categories in local processing. [ABSTRACT FROM AUTHOR]

Abstract\nIMPLICATIONS FOR REHABILITATIONDyslexia is defined as a specific learning disorder that impairs a person’s ability to read fluently and accurately. A growing number of assistive technologies have been used to support individuals with dyslexia. Eye-tracking technology is one such technology, and it is gaining increasing attention from the research community due to its potential to be a valuable support tool for identifying underlying neural differences in language processing among this population. While the technology has seen significant advancements in recent years, researchers, particularly in psychology and special education, might face difficulties utilizing eye-tracking technology in their dyslexia research. The present study aims to provide a comprehensive overview of how eye tracking is employed in this field. By analysing 71 papers, we investigated the range of dyslexia-related aspects that were addressed by eye-tracking technology, how the technology was used, and the connections between eye-tracking measurements and reading in studies including individuals with dyslexia. This review article reveals that researchers have long recognized the potential of eye tracking in dyslexia research, as evidenced by the consistent focus on this technology in relevant studies throughout the years. Our paper also indicates the value of eye-tracking technology in exploring a wide range of dyslexia-related aspects. These include reading behaviours and information searching, the impact of materials on reading performance, detection, intervention, and the evaluation of intervention outcomes. Furthermore, by exploring both the achievements and shortcomings, the paper offers a valuable roadmap for future research specifically focused on supporting individuals with dyslexia.Eye tracking remains a valuable tool for dyslexia research, with applications in exploring various aspects of this disability.More robust research is needed on the use of eye-tracking technology in individuals with dyslexia, particularly its applications in diagnosis, classification, intervention, and other areas that support this population.This paper provides a valuable roadmap for future researchers interested in developing methods for diagnosis, classification, and intervention.Eye tracking remains a valuable tool for dyslexia research, with applications in exploring various aspects of this disability.More robust research is needed on the use of eye-tracking technology in individuals with dyslexia, particularly its applications in diagnosis, classification, intervention, and other areas that support this population.This paper provides a valuable roadmap for future researchers interested in developing methods for diagnosis, classification, and intervention. [ABSTRACT FROM AUTHOR]

Objective: Depression is a complex affective disorder characterized by high prevalence and severe impact, commonly presenting with cognitive impairment. The objective diagnosis of depression lacks precise standards. This study investigates eye movement characteristics during emotional face recognition task (EFRT) in depressive patients to provide empirical support for objective diagnosis. Methods: We recruited 43 patients with depression (Depressive patients, DP) from a psychiatric hospital and 44 healthy participants (Healthy Control, HC) online. All participants completed an EFRT comprising 120 trials. Each trial presented a gray screen for 800 ms followed by a stimulus image for judgment. Emotions were categorized as positive, neutral, or negative. Eye movement trajectories were recorded throughout the task. Latency of First Fixation (LFF), Latency of First Fixation for Eye AOI, and Latency of First Fixation for Mouth AOI were used as representative indicators of early attention, Proportion of Eye AOI, and Proportion of Mouth AOI as measures of intermediate attention, Accuracy (ACC) and Reaction Time (RT) as behavioral indicators of late-stage attention. In this study, these metrics were employed to explore the differences between patients with depression and healthy individuals. Results: Compared to healthy participants, individuals with depression exhibit longer first fixation latencies on the eyes and mouth during the early attention stage of emotional face recognition, indicating an avoidance tendency toward key facial recognition cues. In the mid-to-late attention stages, depressive individuals show an increased fixation ratio on the eyes and a decreased fixation ratio on the mouth, along with lower accuracy and longer response times. These findings suggest that, relative to healthy individuals, individuals with depression have deficits in facial recognition. Conclusion: This study identified distinct attention patterns and cognitive deficits in emotional face recognition among individuals with depression compared to healthy individuals, providing an attention-based approach for exploring potential clinical diagnostic markers for depression. [ABSTRACT FROM AUTHOR]

Background: Eye‐movement protocols are considered empirical, evidence‐based treatments for mental disorders, and there is ample research around their efficacy. However, little research as to why these approaches are effective exists. In this study, an emerging approach, titled Tholáge neuropsychotherapy (called RELEASE at the time of the study), is explained and tested through an exploratory mixed method experiment. Aims: A new theory on the efficacy of eye‐movement treatments is also presented, exploring existing research and contending that specific emotions are associated with specific eye movements. If proven, it may be possible to use eye movements to access specific emotions, for therapeutic outcomes. Methods: In this experiment, there were 14 participants (n = 14) who experienced Tholáge as a treatment for depression. Two one‐way ANOVAs were conducted and found to be statistically significant and have a large effect size. Qualitative responses were shared from participants, and themes were highlighted. Results: The ANOVAs and qualitative responses demonstrated that Tholáge was effective with emotional regulation, and participants showed improvement on measures of affect and depression (the Positive and Negative Affect Schedule and Beck Depression Inventory). Discussion: These results show that there is potential for this new eye‐movement treatment in reducing symptoms of depression. Conclusion: These findings can help practitioners in treatment of depression and potentially other diagnoses as well. There needs to be more research studies conducted on the efficacy of this treatment protocol. [ABSTRACT FROM AUTHOR]

Eye movement patterns have become an essential element in modern approaches for identifying air traffic controller fatigue. By observing eye movements among various individuals and environments, researchers have discovered correlations with multiple physiological metrics and cognitive processing abilities. This study involved human-in-the-loop simulations to collect eye movement and fatigue data from air traffic controllers and students. The eye movements were classified into three main types: fixation, saccade, and blink. Statistical analyses were performed to determine the most important indicators. Using support vector machine and random forest models for training and prediction, it was found that the fixation characteristic is significantly important for monitoring air traffic controller fatigue. The implementation of this model has the potential to identify forthcoming instances of controller fatigue during their shifts, thereby helping to avert the possibility of unsafe situations. [ABSTRACT FROM AUTHOR]

Alzheimer’s Disease is the most prevalent neurodegenerative disease, and is a leading cause of disability among the elderly. Eye movement behaviour demonstrates potential as a non-invasive biomarker for Alzheimer’s Disease, with changes detectable at an early stage after initial onset. This paper introduces a new publicly available dataset: EM-COGLOAD (available at https://osf.io/zjtdq/, DOI: 10.17605/OSF.IO/ZJTDQ). A dual-task paradigm was used to create effects of declined cognitive performance in 75 healthy adults as they carried out visual tracking tasks. Their eye movement was recorded, and time series classification of the extracted eye movement traces was explored using a range of deep learning techniques. The results of this showed that convolutional neural networks were able to achieve an accuracy of 87.5% when distinguishing between eye movement under low and high cognitive load, and 76% when distinguishing between the oldest and youngest age groups.

Akshaya L Thananjeyan, Chandra Bala PersonalEyes, Sydney, NSW, AustraliaCorrespondence: Chandra Bala, Personal-Eyes, 2/33 York St, Sydney, NSW, 2000, Australia, Tel +61 88337111, Email bala@personaleyes.com.auPurpose: To assess ocular higher-order aberrations (HOAs) following ray trace guided laser in situ keratomileusis (LASIK).Methods: Retrospective review at a single-site ophthalmology practice. Two hundred and fifty eyes of 250 patients with myopia and astigmatism undergoing ray trace LASIK were randomly reviewed (Wavelight Plus, Alcon). The InnovEyes Sightmap (Alcon) diagnostic device was used for whole-eye wavefront aberrometry, tomography, and biometry assessment preoperatively and 3 months post-operatively. Ocular HOA, ablation decentration, intraoperative pupil size, and pupil tracking were assessed. Intraoperative eye tracking of x and y coordinates were separately averaged to calculate mean and standard deviation of movement along the x-axis and y-axis to assess eye movement.Results: Total HOA RMS (n = 250 eyes) increased marginally from 0.306 ± 0.102 to 0.371 ± 0.135 (p < 0.001) post-operatively. Spherical aberration decreased (0.092 ± 0.112 to 0.056 ± 0.125, p < 0.001). There was no significant difference in preoperative to postoperative vertical coma under − 3D SEQ and horizontal coma under 2D SEQ. In eyes with 4D or more myopia treatment, post-operative vertical and horizontal coma was moderately correlated with the product of ablation depth and vertical and horizontal decentration (R2 0.51, p < 0.001, R2=0.34, p < 0.001, respectively). Multivariate analysis further showed this was correlated to eye movement.Conclusion: Ray trace LASIK results in a minimal increase in total ocular HOA which is statistically but not clinically significant. Spherical aberration decreases. In larger treatments, there is an increase in coma which correlates with vertical and horizontal decentration of ablation, likely due to eye movement during surgery.Keywords: laser in situ keratomileusis, ray trace, higher-order aberration, eye movement, decentration, coma

This study investigates the classification of eye movements using EEG data recorded from a wearable device, with eye tracking data employed as ground truth for model training. We aim to classify various eye movements, including fixations, saccades, and directional movements, utilizing long short-term memory (LSTM) neural networks. Data were collected from 22 participants using the BrainBit headband, which recorded EEG signals at 250 Hz with four dry electrodes, and the Pupil Labs Invisible eye tracker, which recorded 2D gaze coordinates at 100 Hz during computer-based tasks. The EEG data underwent preprocessing and feature extraction to capture essential characteristics relevant to eye movement classification. Our LSTM model, trained and validated on this dataset, achieved a classification accuracy of 90% for the saccade detection task and 68% and 62% for up versus down and left versus right movement classification accordingly. These results demonstrate the potential of using EEG data alone for reliable eye movement classification, laying the groundwork for future research in neural signal processing and its applications in human-computer interaction and neurotechnological systems.

Abstract Background Concerns persist regarding the potential reduction in driving performance due to taking second-generation antihistamines or performing hands-free calling. Previous studies have indicated a potential risk to driving performance under an emergency event when these two factors are combined, whereas a non-emergency event was operated effectively. Currently, there is a lack of a discriminative index capable of detecting the potential risks of driving performance impairment. This study aims to investigate the relationship between driving performance and eye movements under combined conditions of taking second-generation antihistamines and a calling task, and to assess the usefulness of eye movement measurements as a discriminative index for detecting potential risks of driving performance impairment. Methods Participants engaged in a simulated driving task, which included a calling task, both under taking or not taking second-generation antihistamines. Driving performance and eye movements were monitored during both emergency and non-emergency events, assessing their correlation between driving performance and eye movements. The study further evaluated the usefulness of eye movement as a discriminative index for potential driving impairment risk through receiver operating characteristic (ROC) analysis. Results In the case of a non-emergency event, no correlation was observed between driving performance and eye movement under the combined conditions. Conversely, a correlation was observed during an emergency event. The ROC analysis, conducted to assess the discriminative index capability of eye movements in detecting the potential risk of driving performance impairment, demonstrated a high discriminative power, with an area under the curve of 0.833. Conclusions The findings of this study show the correlation between driving performance and eye movements under the concurrent influence of second-generation antihistamines and a calling task, suggesting the usefulness of eye movement measurement as a discriminant index for detecting potential risks of driving performance impairment.

Jialin Ma, Xiaojing Liu, Yongxin Li Faculty of Education, Henan University, Kaifeng, Henan Province, People’s Republic of ChinaCorrespondence: Yongxin Li, Faculty of Education, Henan University, Kaifeng, Henan Province, 475000, People’s Republic of China, Tel +8613503780519, Email liyongxin@henu.edu.cnBackground: Studies have shown that elderly individuals have significantly worse facial expression recognition scores than young adults. Some have suggested that this difference is due to perceptual degradation, while others suggest it is due to decreased attention of elderly individuals to the most informative regions of the face.Methods: To resolve this controversy, this study recruited 85 participants and used a behavioral task and eye-tracking techniques (EyeLink 1000 Plus eye tracker). It adopted the “study-recognition” paradigm, and a mixed experimental design of 3 (facial expressions: positive, neutral, negative) × 2 (subjects’ age: young, old) × 3 (facial areas of interest: eyes, nose, and mouth) was used to explore whether there was perceptual degradation in older people’s attention to facial expressions and investigate the differences in diagnostic areas between young and older people.Results: The behavioral results revealed that young participants had significantly higher facial expression recognition scores than older participants did; moreover, the eye-tracking results revealed that younger people generally fixated on faces significantly more than elderly people, demonstrating the perceptual degradation in elderly people. Young people primarily look at the eyes, followed by the nose and, finally, the mouth when examining facial expressions. The elderly participants primarily focus on the eyes, followed by the mouth and then the nose.Conclusion: The findings confirmed that young participants have better facial expression recognition performance than elderly participants, which may be related more to perceptual degradation than to decreased attention to informative areas of the face. For elderly people, the duration of gaze toward the facial diagnosis area (such as the eyes) should be increased when recognizing faces to compensate for the disadvantage of decreased facial recognition performance caused by perceptual aging.Keywords: facial expressions, age, areas of interest, eye movement

Abstract The analysis of eye movements has proven valuable for understanding brain function and the neuropathology of various disorders. This research aims to utilize eye movement data analysis as a screening tool for differentiation between eight different groups of pathologies, including scholar, neurologic, and postural disorders. Leveraging a dataset from 20 clinical centers, all employing AIDEAL and REMOBI eye movement technologies this study extends prior research by considering a multi-annotation setting, incorporating information from recordings from saccade and vergence eye movement tests, and using contextual information (e.g. target signals and latency of the eye movement relative to the target and confidence level of the quality of eye movement recording) to improve accuracy while reducing noise interference. Additionally, we introduce a novel hybrid architecture that combines the weight-sharing feature of convolution layers with the long-range capabilities of the transformer architecture to improve model efficiency and reduce the computation cost by a factor of 3.36, while still being competitive in terms of macro F1 score. Evaluated on two diverse datasets, our method demonstrates promising results, the most powerful discrimination being Attention & Neurologic; with a macro F1 score of up to 78.8%; disorder. The results indicate the effectiveness of our approach in classifying eye movement data from different pathologies and different clinical centers accurately, thus enabling the creation of an assistant tool in the future.

Abstract In a multicenter case–control investigation, we assessed the efficacy of the Electrooculogram Signal Analysis (EOG-SA) method, which integrates attention-related visual evocation, electrooculography, and nonlinear analysis, for distinguishing between intellectual and developmental disabilities (IDD) and typical development (TD) in children. Analyzing 127 participants (63 IDD, 64 TD), we applied nonlinear dynamics for feature extraction. Results indicated EOG-SA’s capability to distinguish IDD, with higher template thresholds and Correlation Dimension values correlating with clinical severity. The template threshold proved a robust indicator, with higher values denoting severe IDD. Discriminative metrics showed areas under the curve of 0.91 (template threshold) and 0.85/0.91 (D2), with sensitivities and specificities of 77.6%/95.9% and 93.5%/71.0%, respectively. EOG-SA emerges as a promising tool, offering interpretable neural biomarkers for early and nuanced diagnosis of IDD.

Abstract Objective This study measured eye movements in children with a history of opsoclonus‐myoclonus ataxia syndrome in order to identify abnormalities in saccade and pupil behavior that map onto specific alterations in brainstem pathways. Methods We used video‐based eye tracking while participants freely viewed 10 min of short (2–4 s) video clips without instructions. Clip transitions represented a large visual perturbation and we quantified multiple characteristics of saccade and pupil responses following these transitions in 13 children recovering from opsoclonus‐myoclonus and 13 healthy, age‐matched control participants. Results The frequency of saccades and distribution of fixation durations differed between the groups. Following the clip transitions, children recovering from opsoclonus‐myoclonus ataxia syndrome exhibited longer time to initiate saccades, leading to a delay in harvesting visual information. Clip transitions to lighter clips produced similar pupil constriction responses in the two groups. However, clip transitions to darker clips produced dilation responses that were initiated earlier and of greater magnitude in opsoclonus‐myoclonus ataxia syndrome, suggesting removal or suppression of a signal that delays dilation. Interpretation Children with a history of opsoclonus‐myoclonus ataxia syndrome demonstrated key abnormalities in saccade and pupil metrics. We propose a novel hypothesis in which dysfunction in the pathway from the superior colliculus to the mesencephalic and pontine reticular formation that houses the saccade and pupil premotor circuits could produce these results.

Perceptual span in reading, the spatial extent for effective information extraction during a single fixation, provides a critical foundation to all studies for sentence reading. However, it is not understood fully how the perceptual span is influenced by direction-specific reading experience. Traditional Chinese sentences can be written horizontally from left to right or vertically downward, offering the best opportunity to explore readers' perceptual span in different text directions, free of possible confounding with language proficiency and cross-participant differences. Using a within-item and within-subject design, eye movements of traditional Chinese readers were recorded during their reading of horizontally and vertically presented sentences. Additionally, regardless of text direction, a gaze-contingent moving-window technique was adopted to restrict visible texts within a virtual window that moved in synchrony with the reader's eye gaze, while characters outside the window were masked. Among several critical results, most importantly, asymptotic reading performance was observed in a smaller window condition for vertical reading than for horizontal reading, suggesting an overall smaller perceptual span in the former case. In addition, the size of the vertical perceptual span increased as a function of the readers' familiarity with vertical text. We conclude that factors beyond orthographic complexity and readers' language proficiency can influence the way in which humans read. Readers' direction-specific perceptual experiences can influence their perceptual span. [ABSTRACT FROM AUTHOR]

There is broad consensus that a reader's background knowledge on a reading topic affects both their reading processes and comprehension in their first language and also in a second language. However, it is unclear whether a reader's background knowledge specifically affects reading comprehension accuracy and reading rate. The extent to which background knowledge facilitates second language reading when compared to a reader's L2 linguistic knowledge is also unclear. Moreover, the mental process accounting for the interaction between general background knowledge, type of linguistic knowledge such as vocabulary or writing system, and L2 reading abilities also need to be identified. Using texts in Mandarin Chinese, this paper investigates these problems with an eye‐movement study administered to 40 L2 Chinese learners with Indo‐European L1s. Results illustrate that an L2 reader's background knowledge about the text can positively impact both their reading comprehension and reading rate; however, the influence on the latter could be topic‐dependent. In more challenging topics, the contribution of background knowledge to reading comprehension could outweigh any single type of linguistic knowledge, even if the target language uses a more cognitively demanding writing system. The connectionist account proposed by the construction–integration theory is suggested to be currently the best theoretical explanation for the mental process behind developing second‐language reading abilities. Pedagogical implications are also considered based on these findings. [ABSTRACT FROM AUTHOR]

Mental load is a major cause of human-induced accidents. In this study, an explosive impact sensitivity experiment was used to induce mental load. A combination of subjective questionnaires and objective prospective time-distance tests were used to judge whether subjects experienced mental load. Four indicators, namely, β, γ, mean pupil diameter, and fixation time were selected by statistical analysis and PCA for the construction of a mental load assessment model. The study found that the occipital lobe was the most sensitive to mental load, especially β and γ bands. Lastly, it was found that subjects showed different degrees of mental load for the same mental load induction task. The results of the study are applicable to the evaluation and monitoring of the mental characteristics of workers and provide a scientific basis for adjusting the mental load of workers over time to reduce the rate of accidents and enhance production efficiency. Practitioner Summary: Mental load is the main cause of human-induced accidents. This study used an explosive impact sensitivity experiment to induce mental load in subjects. We found that the mean pupil diameter and fixation time, as well as the beta and gamma bands in the occipital lobe were most sensitive to mental load. [ABSTRACT FROM AUTHOR]

Early diagnosis plays a crucial role in controlling Alzheimer's disease (AD) progression and delaying cognitive decline. Traditional diagnostic tools present great challenges to clinical practice due to their invasiveness, high cost, and time-consuming administration. This study was designed to construct a non-invasive and cost-effective classification model based on eye movement parameters to distinguish dementia due to AD (ADD), mild cognitive impairment (MCI), and normal cognition. Eye movement data were collected from 258 subjects, comprising 111 patients with ADD, 81 patients with MCI, and 66 individuals with normal cognition. The fixation, smooth pursuit, prosaccade, and anti-saccade tasks were performed. Machine learning methods were used to screen eye movement parameters and build diagnostic models. Pearson's correlation analysis was used to assess the correlations between the five most important eye movement indicators in the optimal model and neuropsychological scales. The gradient boosting classifier model demonstrated the best classification performance, achieving 68.2% of accuracy and 66.32% of F1-score in multiclass classification of AD. Moreover, the correlation analysis indicated that the eye movement parameters were associated with various cognitive functions, including general cognitive status, attention, visuospatial ability, episodic memory, short-term memory, and language and instrumental activities of daily life. Eye movement parameters in conjunction with machine learning methods achieve satisfactory overall accuracy, making it an effective and less time-consuming method to assist clinical diagnosis of AD. [ABSTRACT FROM AUTHOR]

This study examined the effect of emotional context on the semantic memory of subsequent emotional words during discourse comprehension in two eye-tracking experiments. Four-sentence discourses were used as experimental materials. The first three sentences established an emotional or neutral context, while the fourth contained an emotional target word consistent with the preceding emotional context's valence. The discourses were presented twice using the text change paradigm, where the target words were replaced with strongly - or weakly-related words during the second presentation. Thus, four conditions were included in the present study: Emotional-strongly-related, Emotional-weakly-related, Neutral-strongly-related and Neutral-weakly-related. In Experiment 1, negative contexts and negative target words were used, whereas in Experiment 2, positive contexts and positive target words were used. The results revealed a semantic relatedness effect, whereby the strongly-related words have lower change detection accuracy, longer reading times and more fixations in both Experiments 1 and 2. Furthermore, across both experiments, the magnitude of the semantic relatedness effect was greater in the emotionally congruent contexts than in the neutral contexts. These results suggest that emotional context could increase efforts to change the discrimination of subsequent words and demonstrate an important role of emotional context on semantic memory during discourse processing. [ABSTRACT FROM AUTHOR]

Introduction: In this study, we examined the cognitive processes and physiological responses involved in learning a flute piece by the composer Charles Koechlin among musicians of different expertise levels. Participants performed the piece four times consecutively, with a 2-min practice interval between the first and the second trial. Methods: Using data obtained from an eye tracker, respiratory sensors, and an audio recorder we assessed short-term improvement and the effect of musical structure and practice on key variables identified through a multivariate approach: eye-hand span (EHS), time index of EHS, thoracic and abdominal amplitude (breathing patterns) and pupil dilation. Results: The analysis revealed two main dimensions: one associated with EHS; and the other with embodied responses to music, closely linked to breathing patterns and pupil dilation. We found an effect of musical structure on all the variables studied, while the EHS improved with practice. Expert musicians demonstrated enhanced EHS and adapted their breathing patterns more effectively to the music's structure. Discussion: These insights support the hypothesis of a coupling between anticipation and breathing, emphasizing the role of perceptual and embodied components in music reading and learning. [ABSTRACT FROM AUTHOR]

Background: Concerns persist regarding the potential reduction in driving performance due to taking second-generation antihistamines or performing hands-free calling. Previous studies have indicated a potential risk to driving performance under an emergency event when these two factors are combined, whereas a non-emergency event was operated effectively. Currently, there is a lack of a discriminative index capable of detecting the potential risks of driving performance impairment. This study aims to investigate the relationship between driving performance and eye movements under combined conditions of taking second-generation antihistamines and a calling task, and to assess the usefulness of eye movement measurements as a discriminative index for detecting potential risks of driving performance impairment. Methods: Participants engaged in a simulated driving task, which included a calling task, both under taking or not taking second-generation antihistamines. Driving performance and eye movements were monitored during both emergency and non-emergency events, assessing their correlation between driving performance and eye movements. The study further evaluated the usefulness of eye movement as a discriminative index for potential driving impairment risk through receiver operating characteristic (ROC) analysis. Results: In the case of a non-emergency event, no correlation was observed between driving performance and eye movement under the combined conditions. Conversely, a correlation was observed during an emergency event. The ROC analysis, conducted to assess the discriminative index capability of eye movements in detecting the potential risk of driving performance impairment, demonstrated a high discriminative power, with an area under the curve of 0.833. Conclusions: The findings of this study show the correlation between driving performance and eye movements under the concurrent influence of second-generation antihistamines and a calling task, suggesting the usefulness of eye movement measurement as a discriminant index for detecting potential risks of driving performance impairment. [ABSTRACT FROM AUTHOR]

Studies have shown that facial recognition among racial groups exhibits not only an other‐race effect but also an other‐ethnicity effect within the same racial group. To explore differences in facial recognition and visual scanning patterns due to the other‐ethnicity effect, behavioural and eye‐movement data were used to investigate the other‐ethnicity effect in the facial perception of Tibetan and Han Chinese individuals and whether the visual scanning patterns varied between them. Behavioural data revealed an other‐ethnicity effect on facial recognition of Tibetan and Han individuals. Eye‐movement data indicated that Tibetan and Han individuals fixated more on the eye and mouth regions when recognising Han faces and on the eye and nose regions when recognising Tibetan faces. The other‐ethnicity effect appeared to influence facial recognition in Tibetan and Han individuals, who adopted similar visual scanning patterns when scanning the faces of individuals of their own ethnicity and those of other ethnicities. [ABSTRACT FROM AUTHOR]

Background/Objectives: In languages with within-word segmentation cues, the removal or replacement of these cues in a text hinders reading and lexical recognition, and adversely affects saccade target selection during reading. However, the outcome of artificially introducing visual word segmentation cues into a language that lacks them is unknown. Tibetan exemplifies a language that does not provide visual cues for word segmentation, relying solely on visual cues for morpheme segmentation. Moreover, previous studies have not examined word segmentation in the Tibetan language. Therefore, this study investigated the effects of artificially incorporated visual word segmentation cues and basic units of information processing in Tibetan reading. Methods: We used eye-tracking technology and conducted two experiments with Tibetan sentences that artificially incorporated interword spaces and color alternation markings as visual segmentation cues. Conclusions: The results indicated that interword spaces facilitate reading and lexical recognition and aid in saccade target selection during reading. Color alternation markings facilitate reading and vocabulary recognition but do not affect saccade selection. Words are more likely to be the basic units of information processing and exhibit greater psychological reality than morphemes. These findings shed light on the nature and rules of Tibetan reading and provide fundamental data to improve eye movement control models for reading alphabetic writing systems. Furthermore, our results may offer practical guidance and a scientific basis for improving the efficiency of reading, information processing, and word segmentation in Tibetan reading. [ABSTRACT FROM AUTHOR]

A visual workload model was constructed to determine and evaluate drivers' visual workload characteristics in high-density interchange-merging areas. Five interchanges were selected, and a real-vehicle driving test was conducted with 47 participants. To address the differences in drivers' visual characteristics in the interchange cluster merging areas, the Criteria Importance Through Intercriteria Correlation (CRITIC) objective weighting method was employed. Six visual parameters were selected to establish a comprehensive evaluation model for the visual workload in high-density interchange-merging areas. The results show that the average scanning frequency and average pupil area change rate are most strongly correlated with the visual workload, whereas the average duration of a single gaze has the lowest weight in the visual workload assessment system. Different driver visual workloads were observed depending on the environment of the interchange-merging areas, and based on these, recommendations are proposed to decrease drivers' workload, thereby increasing road safety. [ABSTRACT FROM AUTHOR]

The visual approach is the most accident-prone phase of a flight, especially in low-visibility conditions. This preliminary study aimed to examine the effects of flight experience on pilots' decision-making and visual scanning pattern in low-visibility approaches. Twenty pilots were separated into two groups based on their flight experience and completed the high- and low-visibility approaches in balanced order using a high-fidelity flight simulator. Pilots' mental workload and visual scanning patterns were recorded via an eye tracker. The results showed that, compared to less flight-experienced pilots (20%, 3/15), experienced pilots (80%, 4/5) were more likely to make go-around decisions in the low-visibility approaches. Furthermore, they exhibited a more flexible and adaptable visual scanning pattern by quickly shifting their attention, as evidenced by decreased fixations and increased saccades. These findings suggest that the integration of visual scanning strategy and training solution with a marginally meteorological approach may enhance decision-making safety for novice pilots. PRACTITIONER SUMMARY: This study investigates the 'expertise effects' in visual scanning pattern, mental workload and decision-making among pilots with different levels of flight experience in a modern flight simulator. For safer decision-making, less flight-experienced pilots should enlarge their visual scanning span in a more unburdened manner, especially in low-visibility approaches. [ABSTRACT FROM AUTHOR]