Search Results (286)

The internal structure of Chinese three-character words may guide eye movements, but whether character-level eye movements vary with hierarchical roles remains unclear. In an eye-tracking lexical decision task, we manipulated branching direction and whole-word familiarity in non-idiomatic three-character words (H3CWs), controlled final-character predictability in the primary analyses, and measured skipping probability and fixation durations at the initial and final positions. Initial characters were skipped less often in right-branching than left-branching H3CWs, whereas final characters showed the reverse pattern, consistent with first-level characters being skipped less often at both positions. The predicted low-familiarity branching difference was reliable only for initial-character total fixation duration; first-fixation and gaze-duration contrasts were inconclusive, and no branching-related duration difference was detected for the final character. Higher predictability increased final-character skipping in left-branching but not right-branching H3CWs and was associated with shorter final-character total fixation durations. Apparent final-character familiarity effects were nonsignificant after predictability was controlled. The findings are compatible with structure-sensitive saccade-target selection and a familiarity-dependent pattern in later fixation time. However, because hierarchical role is intrinsically linked to branching and position, and the proposed mechanisms were inferred rather than measured directly, the pattern cannot be attributed uniquely to hierarchical role or a specific processing mechanism. Full article

Wearable eye-tracking devices are primarily used for eye movement analysis in real-world environments. Owing to their increasing availability and ability to provide measurements with high ecological validity, it is important to determine whether they can also be applied to gaze fixation analysis involving screen-based stimuli. This study evaluated the performance of the wearable eye tracker Pupil Labs Neon for gaze fixation analysis under controlled laboratory conditions by comparing it with the screen-based Tobii Pro Fusion. A total of 46 participants were enrolled in the study. Eye-tracker accuracy was assessed across different gaze directions, whereas fixation stability was evaluated exclusively during central fixation. Tobii Pro Fusion demonstrated significantly higher overall accuracy compared to Pupil Labs Neon. Notably, the accuracy of both devices was affected by stimulus background. Furthermore, the Tobii Pro Fusion showed significantly better accuracy at central positions than at peripheral gaze positions; in contrast the Pupil Labs Neon exhibited no significant variations in relation to stimulus eccentricity. Finally, no significant differences in fixation stability during central fixation were observed between the two devices. Considering its significantly higher overall accuracy, Tobii Pro Fusion appears better suited for gaze fixation analysis in screen-based tasks, especially within the central positions, whereas Pupil Labs Neon may provide more stable data quality across different gaze positions. Full article

Scalable classroom process evidence can support teacher reflection and expert review, but manual observation is labor-intensive and direct eye tracking is often too intrusive for routine classroom use. This paper presents a single-camera classroom video analytics system that converts ordinary classroom recordings into reviewable process evidence for teacher reflection. The system combines three-class head detection, teacher association and tracking, six-dimensional head-pose estimation for frontal teachers, pose smoothing with a multiplicative extended Kalman filter, gaze-cone projection, student and region hit testing, four-class rule-based behavior segmentation, and evidence export. In the perception experiments, the three-class head detector achieved an mAP@0.50 of 0.96, while frontal-teacher head-pose estimation yielded a mean angular error of 7.55°. In behavior verification, the algorithm achieved 78.8% sample-wise accuracy and a weighted F1-score of 77.1% against adjudicated human labels. The complete pipeline processed a single 1080p video stream at 48.20 FPS under the reported setup. Because the system infers visual attention from head pose, its output should be interpreted as a visual-attention proxy rather than as a direct measure of eye gaze. Its behavior labels describe observable classroom process patterns and are intended to support human review, not to evaluate teaching quality or individual participants. The exported heatmaps, regional timelines, behavior timelines, annotated videos, and structured reports provide traceable evidence that can be checked against the source recording. Full article

Naming the divine exposes a structural tension: language makes the transcendent intelligible only by confining it within humanly constructed measures. Jean-Luc Marion identifies this risk as conceptual idolatry, opposing the conceptual idol to the icon, a sign that directs the gaze beyond itself rather than arresting it. This article adopts Marion’s distinction not as a genealogical claim but as a heuristic framework for examining how different traditions navigate the limits of naming, tracing how the divine name shifts from a restrictive boundary to an open threshold across three registers: philosophical negation, name and letter mysticism, and repetitive invocation. Two dimensions emerge from this typology. Philosophical negation, rooted in Greek thought and Christian apophaticism, dismantles the predicative structure that produces the conceptual idol. Name and letter mysticism and repetitive invocation, drawing on Jewish and Islamic letter mysticism and the invocatory practices of dhikr, mantra, and Hesychasm, converge instead on a different mechanism: semantic exhaustion, the progressive suspension of a word’s referential function through sustained rhythmic repetition. By placing these practices in dialogue, the article identifies structural affinities that are difficult to see from within any single tradition’s own resources, suggesting that this convergence reflects an independent structural response to a shared linguistic aporia rather than doctrinal borrowing. Full article

Urban public spaces matter for young people, yet how youth visually engage with the spatial elements of Indian cities remains largely unstudied. This exploratory study uses screen-based eye tracking to examine how 43 design-discipline students (aged 18–29) allocate visual attention across urban public space scenes in Jaipur, India. Thirty photographic stimuli sampling five Lynch-derived spatial elements—edge, landmark, path, plaza, and transit node—across six public spaces were each analyzed through four semantic areas of interest (built form, human and vehicular activity, natural elements, and circulation), using fixation count, total fixation duration, time to first fixation, and visit count. Attention was allocated unevenly: built form and human activity dominated the youth gaze, while natural elements consistently drew less focal attention—interpreted as restorative background rather than low importance. Landmarks anchored attention most strongly and transit nodes least. Notably, socially active and visually complex elements did not capture the gaze earliest but held it longest, suggesting that what sustains youth attention is dissociable from what initially attracts it. Inferential tests are treated as exploratory given the repeated-measures design. As the first AOI-based account of youth visual attention in Indian heritage public space, this study offers a transferable protocol and preliminary, exploratory directions for youth-responsive design—including visual anchoring at neglected transit nodes and the use of greenery for ambient comfort rather than focal emphasis. Full article

Care settings need short, accessible digital activities that encourage older adults to participate while generating process data during ordinary interaction. We developed a game-based platform with four activities: reflective choice, guided breathing, reminiscence, and artistic expression. Session video, interaction logs, and field notes were organized in a context-preserving multimodal framework. This exploratory seven-module field study included 12 older adults aged 65–90 years in a hospital-affiliated care setting. Ten participants completed all seven scheduled modules, and 81 of 84 planned module sessions were completed; some participants completed multiple modules on the same calendar day. Seventy-two videos were analyzable, representing 88.9% of completed module sessions (72/81). Across 251 activity selections, reminiscence was selected most often; mouse control and navigation were the main operating difficulties. Two raters independently annotated forty 10 s field-video clips. Target-face tracking was stable or basically stable in 90% of clips. Gaze-deviation detection achieved 87.5% accuracy and a macro-F1 of 0.871, while macro-expression classification achieved 67.5% accuracy and a macro-F1 of 0.610. The findings demonstrate a context-preserving field method for structured process records. The algorithms are auxiliary tools, and facial-expression outputs should not be interpreted as direct measures of emotion, cognition, or clinical status. Full article

General gaze following aims to infer the region attended to by a person within a natural scene and offers a computational perspective on visual attention and social scene understanding. Existing direction-guided methods usually reduce gaze direction to a single vector or spatial mask. This deterministic treatment can obscure directional ambiguity, discard coexisting candidate directions, and propagate early estimation errors to gaze target localization when head cues are weak or multiple targets are plausible. To address these limitations, we propose an uncertainty-aware framework based on Circular Direction Distribution Learning (CDDL) and Probabilistic Gaze Geometry Modeling (PGGM). CDDL represents gaze direction as a 72-bin circular probability distribution under von Mises soft supervision, thereby preserving neighboring directional hypotheses before target localization. Rather than predicting a target space distribution directly, PGGM aggregates the direction distribution into 18 groups and projects the retained hypotheses into cone-like spatial probability fields, allowing spatial tolerance to expand with distance while preserving a channel-wise direction-to-region representation. The full probability volume is fused with the RGB scene image at the input level and processed by a ResNet-50-FPN network for gaze heatmap prediction. Controlled experiments on GazeFollow demonstrate competitive localization and support the contribution of direction-distribution learning and channel-wise geometric projection. Zero-shot transfer, dataset-level uncertainty and failure analyses, efficiency measurements, and qualitative results further indicate interpretable behavior together with domain-dependent and computational trade-offs. Full article

Objectives: This study aimed to determine whether eccentric gaze produces a regional, gaze-aligned redistribution of tear-film quality that is more apparent in spatial analysis than in whole-map summary measures. Methods: This was a secondary analysis of a previously acquired Medmont Meridia composite-topography dataset from 38 healthy participants, using only the Medmont data. Tear-film quality maps from the ahead, right, left, up, and down gaze were interpolated onto a common grid, aligned to a shared reference frame, and analysed using descriptive global measures, regional spatial mapping, and a threshold-based directional sector analysis. The threshold analysis used an operational cut-off of 0.35 to classify good-quality pixels, with lower values indicating better tear-film quality. Robustness was assessed by repeating the same analysis across nearby cut-offs from 0.30 to 0.40. As Placido-based topography measures reflection from the tear layer rather than the ocular surface itself, and as ocular rotation changes lid position and exposed ocular surface area, aligned comparisons were interpreted as comparisons of the exposed tear-film pattern rather than exact point-for-point anatomical tracking. Results: Global tear-film summary measures showed only modest variation with gaze direction, whereas spatial mapping revealed systematic regional redistribution of tear-film quality across eccentric gaze conditions. At the 0.35 operational threshold, the gaze-aligned good-pixel index was positive for right gaze (0.297 ± 0.200), left gaze (0.213 ± 0.174), up gaze (0.204 ± 0.219), and down gaze (0.308 ± 0.260). All four indices remained greater than zero after Holm correction (all pHolm < 0.001), and all remained greater than the matched ahead-gaze sector indices (all pHolm < 0.001). Threshold sensitivity analysis across cut-offs from 0.30 to 0.40 showed that the positive directional pattern was preserved for all gaze directions. Conclusions: Tear-film quality varies regionally with gaze direction, a pattern that was clearer in spatial maps and sector indices than in global summaries. Straight-ahead measurements may therefore provide an incomplete account of tear-film behaviour during eccentric gaze. As the analysis involved healthy participants and did not assess symptoms or diagnostic performance, the clinical relevance of this pattern requires validation in symptomatic populations. Full article

Gaze target detection requires understanding where a person is looking by jointly reasoning about the gazer and the surrounding scene. While recent methods have benefited from powerful pretrained visual backbones, they often treat gaze prediction as a generic localization problem and overlook a key property of the task: the target should be interpreted in relation to the person’s head. This limits their ability to model direction, distance, and head-scene dependencies in a unified manner. We propose GazeHRNet, a head-centric reasoning framework for RGB-based gaze target detection. Instead of relying on absolute image coordinates or auxiliary geometric inputs, GazeHRNet represents the scene from the gazer’s perspective through Head-Centric Polar Encoding and organizes visual features by their spatial relevance to the head via Head-Aware Attention Routing. It further combines coarse spatial reasoning with fine-grained anisotropic heatmap prediction, enabling reliable target localization under cluttered scenes and varying head positions. Experiments on GazeFollow and VideoAttentionTarget show that GazeHRNet achieves 0.952 and 0.929 AUC with L2 distances of 0.102 and 0.103, respectively, using only RGB input and 3 M trainable parameters. Cross-dataset evaluation further demonstrates improved robustness and generalization across different scenes and subject distributions. Full article

Around 1.5% of the global population is suffering from speech impairments; the major causes for this are cerebral palsy and ALS, and the only way for these individuals to communicate is through Augmentative and Alternative Communication (AAC). These systems are either electronic or non-electronic. Based on new study developments, electronic methods, such as Brain–Computer Interaction (BCI) and eye-gaze-based communication, are assessed as the best choices, but they have their own limitations, incorporating limited adaptability to changing conditions, such as setup variations and user fatigue, which reduces the system‘s robustness. Our previous study, Netravad, shows potential for addressing these gaps, but it lacks multilingual support and will not yield the same results under changing lighting conditions. This study, Thrivaad, provides multilingual support and text prediction and integrates optimized deep learning to accurately capture eye movements even in varying environmental lighting conditions. Thrivaad uses eye movements as input from a webcam, and the Optuna-optimized YOLOv5 model is used to detect the eye direction accurately. Then communication is established in English, Malayalam, and Hindi. The text-prediction feature of this system improves communication by reducing the number of eye gestures required to form a message. This study included a total of 60 participants across three age groups with 35,263 eye-sign images collected. With this data, the YOLOv5 model is trained and then optimized by Optuna. The proposal system provides accurate eye direction, text prediction, multilingual support, and improved adaptability to changing conditions for eye-based AAC. Full article

Background/Objectives: Children with autism spectrum disorder (ASD) often exhibit differences in attention regulation and visual behavior. However, many ASD eye-tracking datasets lack reliable moment-to-moment behavioral or emotional annotations, limiting the direct application of supervised learning approaches. To address this challenge, this study proposes an interpretable gaze-based unsupervised framework for discovering behavioral pseudo-zones from unlabeled ASD eye-tracking data. Methods: Raw gaze recordings from ASD participants were segmented into fixed temporal windows and represented using interpretable gaze features, including gaze dispersion, fixation duration, tracking quality, motion ratio, pupil size, and gaze velocity measures. Multiple clustering models and alternative temporal window sizes were systematically compared, including K-means, Gaussian Mixture Modeling (GMM), Agglomerative Clustering, and HDBSCAN. Results: Among the evaluated configurations, the combination of 1000 ms windows with K-means clustering (k = 4) was retained as the final exploratory configuration. Although alternative solutions achieved slightly stronger internal validation metrics, the selected configuration provided a more interpretable four-zone structure while maintaining acceptable clustering quality. The final retained solution produced four interpretable behavioral pseudo-zones with statistically significant differences across all extracted gaze features according to the Kruskal–Wallis test (p < 0.05). A PCA projection further supported the exploratory structure of the discovered pseudo-zones, with the first two principal components explaining 72.3% of the total variance. Conclusions: The findings demonstrate that unlabeled ASD gaze data can be organized into interpretable behavioral pseudo-zones using an unsupervised and transparent feature-based framework. This work contributes a data-driven and interpretable framework for future gaze-based behavioral analysis and autism-related AI research. Full article

Eye-movement studies of manual production often average gaze across an entire trial, obscuring how visual information use changes once actions begin. We separated the pre-writing and writing phases in a fixed progressive Chinese calligraphy task. Thirty-seven postgraduate students completed two style-guided transfer (SGT) pages, a worked example, and two evolution-based mapping (EBM) pages; 34 contributed usable gaze data. On SGT pages, reference allocation fell from 0.626 before writing to 0.131 during writing, whereas the share of reference viewing directed to diagnostic tokens rose from 0.473 to 0.601. On EBM pages, allocation to the cue-plus-context display fell from 0.825 to 0.447 after pen onset but remained substantial; cue share and context coverage also declined. Participant-level process blocks did not improve quality models. In exploratory page-level EBM analyses, greater pre-writing context coverage was associated with higher product quality. These findings identify pen onset as a useful boundary for analyzing visual information use in constrained production: external sampling is greatest before writing, and task-specific re-access persists during execution. Because the task order was fixed, page-family differences cannot be separated from practice or scaffolding. Phase-specific area-of-interest measures can therefore add process information to product scores without treating gaze as a direct measure of cognition. Full article

Ocular ductions deform the optic disc and peripapillary blood vessels, and deformations can be interpreted as mechanical strain. We used confocal scanning laser ophthalmoscopy (cSLO) to map strain in disc and peripapillary retinal vessels associated with the cardiac pulse and determine if such strain is influenced by gaze direction. Sets of 13 infrared cSLO images were obtained sequentially for each eye using a Heidelberg Spectralis scanner in cinematic mode over a 3 sec interval in adults. Imaging was repeated in central, and horizontally (30° adduction/abduction) and vertically eccentric gazes (10° supraduction/infraduction). Retinal vessels, optic disc, and fovea were segmented using custom-trained, deep learning-based models. Frame to frame vascular displacements were automatically determined using optical flow analysis, allowing computation of equivalent strain. A total of 25 eyes of 13 subjects of mean age 39 ± 18 (standard deviation, range: 25 to 81) years were included. Average equivalent strain over 3 sec ranging from 0.27% to 0.36% exceeded the 0.16% noise threshold across all gazes and regions, indicating measurable pulse-induced deformation. After adjustment for age and axial length, pulsatile maximum and minimum strain were influenced slightly by gaze direction, maximally for supraduction, whereas mean strain did not vary significantly with gaze. The cardiac pulse induces measurable deformation of retinal vessels that can be quantified as equivalent strain in the image plane using optical flow-derived displacement fields. However, the interaction of pulse strain with gaze direction is unlikely to be a significant confound for investigations of strains associated with eye movements. Full article

Horizontal nystagmus is still commonly interpreted at the bedside through a pragmatic peripheral-versus-central dichotomy. Although this heuristic is often clinically useful, it may be misleading because distributed brainstem–cerebellar disorders can generate peripheral-appearing phenotypes. This paper presents a narrative clinical–conceptual review proposing that a substantial subset of horizontal nystagmus patterns may be understood more coherently as expressions of dysfunction within a coupled vestibulo-ocular integrative network rather than as direct signatures of a single lesion site. Within this framework, two core dynamical domains are separated conceptually: a vestibular nuclei (VN)-centered velocity-storage process and an NPH-centered gaze-holding integrator. These processes are proposed to operate under cerebellar regulatory influence, with the nodulus–uvula (NU) acting as a plausible regulator of storage gain, temporal persistence, adaptation stability, and oscillatory behavior. Clinically, the velocity-storage domain is expressed through low-frequency vestibulo-ocular reflex behavior and optokinetic after-nystagmus-related dynamics, whereas the gaze-holding domain is expressed through eccentric gaze stability, gaze-evoked nystagmus, and post-saccadic drift. This framework carries a clinically relevant implication: horizontal nystagmus phenotypes may be interpreted more effectively by asking which functional process is predominantly abnormal—gaze holding, storage-related vestibular persistence, or cerebellar regulatory stability—rather than by relying solely on a binary peripheral–central label. On this basis, we outline a clinician-facing workflow linking gaze dependence, periodicity, direction reversals, head-shaking behavior, and Alexander-law mismatch to operational bedside criteria and candidate quantitative readouts. The proposed model is intended as a clinical–conceptual framework rather than a deterministic localization tool. Its main value lies in organizing discordant vestibular findings, strengthening the mechanistic interpretation of bedside and instrumented observations, and identifying testable directions for future validation studies in acute dizziness and ocular motor disorders. Full article

This article argues that lotus and dharma wheel motifs in the Dunhuang Mogao Caves function not merely as decorative symbols but as active visual apparatuses that generate embodied religious experience through a mechanism we term “totemic mediation.” Drawing on Lévi-Strauss’s structuralist reading of totemism, Descola’s ontological framework, Gell’s theory of art as agency, Meyer’s “sensational form,” and Varela’s neurophenomenology, we define totemic mediation as a triadic mechanism encompassing material–spatial arrangement, ontological transformation of experiential states, and value structure generation. We analyze motifs from Mogao Caves 285, 329, and 361 using a five-step analytic framework: formal–visual description, reconstructed embodied viewing, doctrinal identification, mediation mechanism analysis, and evaluative assessment. The analysis demonstrates that the lotus mediates ontologically along a spatial axis, building a vertical channel between the worldly and the divine through ceiling configurations and upward gazes, while the dharma wheel mediates teleologically across the temporal axis, neutralizing linear temporality through rotational dynamics. Together, these motifs constitute “visual prajñā”—a nonconceptual, embodied cognitive effect that bypasses discursive reasoning to enable direct apprehension of śūnyatā (emptiness). This article offers a replicable analytic framework for examining how religious images operate simultaneously as visual apparatuses and ontological mediators. Full article