Search Results (528)

Pupil responses and optokinetic nystagmus (OKN) are known to vary with the brightness and direction of motion of attended stimuli, as well as gaze position. However, whether these processes are controlled by a common mechanism remains unclear. In this study, we investigated how OKN latency relates to pupil response latency under two conditions: gaze shifts (eye movement) and attention shifts (covert attention without eye movement). As a result, while OKN showed consistent temporal changes across both gaze and attention conditions, pupillary responses exhibited distinct patterns. Moreover, the results revealed no significant correlation between pupil latency and OKN latency in either condition. These findings suggest that, although OKN and pupillary responses are influenced by similar attentional processes, their underlying mechanisms may differ. Full article

Color fusion and rivalry are two key information integration mechanisms in binocular vision, representing the visual system’s processing patterns for consistent and conflicting inputs, respectively. This study hypothesizes that there are quantifiable differences in eye movement indicators under states of binocular color fusion and rivalry, which can be verified through multi-paradigm eye movement experiments. The experiment recruited eighteen subjects with normal vision (nine males and nine females), employing the Gaze Stability paradigm, Straight Curve Eye Hopping paradigm, and Smoothed Eye Movement Tracking paradigm for eye movement tracking. Each paradigm included a binocular color rivalry experimental group (R-G) and two binocular color fusion control groups (R-R, G-G). Data analysis indicates significant differences in indicators such as Average Saccade Amplitude, Median Saccade Amplitude, and SD of Saccade Amplitude between binocular color fusion and rivalry states. For instance, through Z-Score normalization and cross-paradigm merged analysis, specific ranges of these indicators were identified to distinguish between the two states. When the Average Saccade Amplitude falls within the range of −0.905–−0.693, it indicates a state of binocular color rivalry; when the range is 0.608–1.294, it reflects a state of binocular color fusion. Subsequently, ROC curve analysis confirmed the effectiveness of the experimental paradigms in analyzing the mechanisms of binocular color fusion and rivalry, with AUC values of 0.990, 0.741, and 0.967, respectively. These results reveal the potential of eye movement behaviors as biomarkers for the dynamic processing of visual conflicts. This finding provides empirical support for understanding the neural computational models of binocular vision and lays a methodological foundation for developing visual impairment assessment tools based on eye movement features. Full article

This study investigates sex differences in numerosity perception and visuospatial abilities in adults using eye-tracking methodology. We report the results of a controlled dual-task experiment that assessed the participants’ visuospatial and numerosity estimation abilities. We did not observe sex differences in reaction times and accuracy. However, we found that females consistently underestimated numerosity. This underestimation correlated with higher perceptual load in females, as evidenced by shorter fixation durations and increased fixation rates. These findings suggest that perceptual load, rather than visual or spatial abilities, significantly influences numerosity estimation. Our study contributes novel insights into sex differences in both numerosity estimation and visuospatial abilities. These results provide a foundation for future research on numerosity perception across various populations and contexts, with implications for educational strategies and cognitive training programs. Full article

Eye-tracking technology provides high-resolution information about a user’s visual behavior and interests. Combined with advances in machine learning, it has become possible to recognize user traits and states using eye-tracking data. Despite increasing research interest, a comprehensive systematic review of eye-based recognition approaches has been lacking. This study aimed to fill this gap by systematically reviewing and synthesizing the existing literature on the machine-learning-based recognition of user traits and states using eye-tracking data following PRISMA 2020 guidelines. The inclusion criteria focused on studies that applied eye-tracking data to recognize user traits and states with machine learning or deep learning approaches. Searches were performed in the ACM Digital Library and IEEE Xplore and the found studies were assessed for the risk of bias using standard methodological criteria. The data synthesis included a conceptual framework that covered the task, context, technology and data processing, and recognition targets. A total of 90 studies were included that encompassed a variety of tasks (e.g., visual, driving, learning) and contexts (e.g., computer screen, simulator, wild). The recognition targets included cognitive and affective states (e.g., emotions, cognitive workload) and user traits (e.g., personality, working memory). A set of various machine learning techniques, such as Support Vector Machines (SVMs), Random Forests, and deep learning models were applied to recognize user states and traits. This review identified state-of-the-art approaches and gaps, which highlighted the need for building up best practices, larger-scale datasets, and diversifying tasks and contexts. Future research should focus on improving the ecological validity, multi-modal approaches for robust user modeling, and developing gaze-adaptive systems. Full article

Existing studies have revealed that the reading comprehension ability of readers can be adversely affected by their psychosocial stress. Yet, the detailed impact of stress on various stages of text processing is understudied. This study aims to explore how the higher-level text processing ability, including syntactic parsing, sentence integration, and global text processing, of first language (L1) and second language (L2) English readers is affected under stress situations. In addition, the roles of trait anxiety, the central executive function moderating stress effects, in text processing were also examined. Twenty-two L1 readers and twenty-one L2 readers were asked to perform reading comprehension tasks under different stress situations. Eye-tracking technology was adopted to record participants’ visual behaviors while reading, and ten eye-movement measurements were computed to represent the effect of different types of text processing. The results demonstrate that the stress reduced the efficiency of syntactic parsing and sentence integration in both L1 and L2 groups, but only impaired global text processing in L2 readers. Specifically, L2 readers focused more on the topic structure of text to facilitate comprehension under stress situations. Moreover, only L1 readers’ higher-level text processing was affected by trait anxiety, while L2 readers’ processing was mainly related to their reading proficiency level. Future studies and applications were discussed. The findings advance our understanding of stress effects on different stages of higher-level text processing. They also have practical implications for developing interventions to help language learners suffering from stress disorders. Full article

Fixational eye movements are important for holding the central visual field on a target for a specific period of time. In this study, we aimed to quantitatively assess fixational disparities using binocular eye tracking in children with strabismus (before and after surgical alignment) and healthy children. Fixational disparities in 117 children (4–18 years; 57 with strabismus and 60 age-similar healthy controls) were recorded under binocular viewing with corrected refractive errors. Disparities in gaze positions relative to the target location were recorded for both eyes. The main outcome measures included fixational disparities along horizontal and vertical axes in the fixation test. Children with strabismus exhibited significant (p < 0.001) fixational disparities compared to healthy children in both horizontal and vertical directions. Additionally, children with esotropia had poorer fixational function compared to those with exotropia. The occurrence of fixational disparities significantly decreased in the horizontal direction following strabismus surgery. A significant negative correlation was observed between binocular best-corrected visual acuity and fixational disparities in children with strabismus. Children with strabismus had significant fixational disparities that were observably diminished in the horizontal direction after surgical alignment. Binocular assessment of fixational disparities can provide a more comprehensive evaluation of visual function in individuals with strabismus. Full article

This study aims to explore the effects of Shape and Decoration on user experience and visual attention in anthropomorphic robot design. Eighty undergraduate students were divided into four groups, each viewing one of four stimuli: (a) Non-hat and Non-pattern, (b) Hat and Non-pattern, (c) Non-hat and Pattern, and (d) Hat and Pattern. Eye-tracking data and subjective user experience ratings were collected. The results indicate that both Shape and Decoration have significant effects on user experience and visual attention. The Hat significantly outperformed Non-hat in the dimensions of Attractiveness and Stimulation, while the Pattern showed significant advantages in Stimulation and Novelty. Additionally, Shape and Decoration exhibited a significant interaction effect in the dimensions of Novelty and time to first fixation, suggesting that their combination provides complementary benefits in enhancing perceived novelty and initial visual appeal. Hat and Pattern attracted users’ attention earlier and prolonged fixation time, as seen in time to first fixation, first-pass total fixation duration, and second-pass total fixation duration. For time to first fixation, there was an interaction effect between Shape and Decoration. This study offers strong theoretical support for the design of anthropomorphic robots, highlighting the critical role of Shape and Decoration in user experience. Full article

Words in environmental print are exposed to young children before formally learning to read, and attention to these words is linked to their reading ability. Inversion sensitivity, the ability to distinguish between upright and inverted words, is a pivotal milestone in reading development. To further explore the relationship between attention to words in environmental print and early reading development, we examined whether children with varying reading abilities differed in inversion sensitivity to these words. Participants included children with low (18, 8 males, 5.06 years) and high (19, 10 males, 5.00 years) reading levels. Using an eye-tracking technique, we compared children’s attention to upright and inverted words in environmental print and ordinary words during a free-viewing task. In terms of the percentage of fixation duration and fixation count, results showed that children with high reading abilities exhibited inversion sensitivity to words in environmental print, whereas children with low reading abilities did not. Unexpectedly, in terms of first fixation latency, children with low reading abilities showed inversion sensitivity to ordinary words, while children with high reading abilities did not. These findings suggest that inversion sensitivity to words in environmental print is closely linked to early reading ability. Full article

Research has shown that first (L1) and second language (L2) speakers actively make predictions about upcoming linguistic information, though L2 speakers are less efficient. While prediction mechanisms are assumed to be qualitatively the same, quantitative prediction-driven processing differences may be modulated by individual differences We tested whether L2 proficiency and quality of lexical representation (QLR) impact the capacity of L2 readers to extract parafoveal information while reading, leading to quantitative differences in prediction. Using the same items as Slattery and Yates, we investigated the impact of predictability and length of a critical word on bottom-up parafoveal processing, measured by skipping rates, and top-down predictability processing, measured by reading times. Comparing our L2 English to their L1 English data, we found that L2 speakers skipped less and had longer gaze duration. However, both groups showed increased skipping rate and decreased gaze duration for predictable relative to unpredictable words and for shorter relative to longer words. We argue that L1 and L2 predictability mechanisms are qualitatively the same and quantitative differences stem from L2 speakers’ Reduced Capacity for Parafoveal Processing, the ReCaPP hypothesis. Full article

In 1980, together with Dieter Heller, I initiated an interdisciplinary network called the “European Group of Scientists active in Eye Movement Research”, including scientists who use eye movement registration as a research tool, developing models based on oculomotor data obtained from a wide spectrum of phenomena, ranging from the neurophysiological to the perceptual and the cognitive levels [...] Full article

This study investigates public perception and acceptance of AI-generated art using an integrated system that merges eye-tracking methodologies with advanced bidirectional encoder representations from transformers (BERT)-based sentiment analysis. Eye-tracking methods systematically document the visual trajectories and fixation spots of consumers viewing AI-generated artworks, elucidating the inherent relationship between visual activity and perception. Thereafter, the BERT-based sentiment analysis algorithm extracts emotional responses and aesthetic assessments from numerous internet reviews, offering a robust instrument for evaluating public approval and aesthetic perception. The findings indicate that consumer perception of AI-generated art is markedly affected by visual attention behavior, whereas sentiment analysis uncovers substantial disparities in aesthetic assessments. This paper introduces enhancements to the BERT model via domain-specific pre-training and hyperparameter optimization utilizing deep Gaussian processes and dynamic Bayesian optimization, resulting in substantial increases in classification accuracy and resilience. This study thoroughly examines the underlying mechanisms of public perception and assessment of AI-generated art, assesses the potential of these techniques for practical application in art creation and evaluation, and offers a novel perspective and scientific foundation for future research and application of AI art. Full article

Leading lines, a fundamental composition technique in photography, are crucial to guiding the viewer’s visual attention. Leading line composition is an effective visual strategy for influencing viewers’ cognitive processes. However, in-depth research on the impact of leading line composition on cognitive psychology is lacking. This study investigated the cognitive effects of leading line composition on perception and behavior. The eye movement behaviors of 34 participants while they viewed photographic works with leading lines were monitored through eye-tracking experiments. Additionally, subjective assessments were conducted to collect the participants’ perceptions of the images in terms of aesthetics, complexity, and directional sense. The results revealed that leading lines significantly influenced the participants’ attention to key elements of the work, particularly when prominent subject elements were present. This led to greater engagement, longer viewing times, and enhanced ratings on aesthetics and directional sense. These findings suggest that skilled photographers can employ leading lines to guide the viewer’s gaze and create visually compelling and aesthetically pleasing works. This research offers specific compositional strategies for photography applications and underscores the importance of leading lines and subject elements in enhancing visual impact and artistic expression. Full article

Purpose: Working on computers for long hours has become a regular task for millions of people around the world. This has led to the increase of eye and vision issues related to prolonged computer use, known as computer vision syndrome (CVS). A main contributor to CVS caused by dry eyes is the reduction of blinking rates. In this pilot study, an intelligent, standalone eye blinking monitoring system to promote healthier blinking behaviors for computer users was developed using components that are affordable and easily available in the market. Methods: The developed eye blinking monitoring system used a camera to track blinking rates and operated audible, visual and tactile alarm modes to induce blinks. The hypothesis in this study is that the developed eye blinking monitoring system would increase eye blinks for a computer user. To test this hypothesis, the developed system was evaluated on 20 subjects. Results: The eye blinking monitoring system detected blinks with high accuracy (95.9%). The observed spontaneous eye blinking rate was 43.1 ± 14.7 blinks/min (mean ± standard deviation). Eye blinking rates significantly decreased when the subjects were watching movie trailers (25.2 ± 11.9 blinks/min; Wilcoxon signed rank test; p < 0.001) and reading articles (24.2 ± 12.1 blinks/min; p < 0.001) on a computer. The blinking monitoring system with the alarm function turned on showed an increase in blinking rates (28.2 ± 12.1 blinks/min) compared to blinking rates without the alarm function (25.2 ± 11.9 blinks/min; p = 0.09; Cohen’s effect size d = 0.25) when the subjects were watching movie trailers. Conclusions: The developed blinking monitoring system was able to detect blinking with high accuracy and induce blinking with a personalized alarm function. Further work is needed to refine the study design and evaluate the clinical impact of the system. This work is an advancement towards the development of a profound technological solution for preventing CVS. Full article