Search Results (1,862)

Although widely used across disciplines, the terms emotion and feeling remain conceptually ambiguous, particularly within developmental science. Emotion is defined as an evolutionarily conserved, biologically embedded system of action readiness and intersubjective communication, shaped by attentional, neural, and physiological reactivity to environmental salience. In contrast, feeling is conceptualized as the consciously experienced, representational outcome of emotional activation, emerging through cognitive appraisal and symbolic processing. Building upon this distinction, the review explores how emotion develops within parent–child dyads through coregulated neurocognitive and psychophysiological mechanisms. Drawing on empirical evidence from eye-tracking studies of visual attention to emotional faces, functional near-infrared spectroscopy (fNIRS) research on social-emotional activation in prefrontal brain regions, and cortisol-based assessments of hormonal synchrony, the paper highlights how emotional attunement and transmission are embedded in early caregiving interactions. The review also emphasizes the moderating role of environmental sensitivity—both in children and parents—in shaping these developmental pathways. By positioning emotion as a dynamic, intersubjective process and feeling as its emergent experiential correlate, this review offers a novel developmental framework for understanding affect and proposes directions for future research on resilience, dysregulation, and intervention. Full article

Background/Objectives: This study aims to investigate the development of oculomotor behavior in children born preterm using a DIVE device (Device for an Integral Visual Examination) equipped with eye-tracking technology. Visual and visuo-cognitive measures obtained through eye-tracking technology provide quantitative and sensitive indicators of early neural development, as visual function is one of the earliest cerebral processes to develop postnatally. Design: This is a cross-sectional study. Participants: The study included 428 children aged 0.5 to 14 years. Of these, 214 were born preterm (78 late preterm, born at 32–36 weeks’ gestation, and 136 early preterm, born at less than 32 weeks’ gestation) and 214 were full-term controls, matched by age and gender. Methods: All participants underwent a comprehensive ophthalmological assessment. Oculomotor behavior was analyzed using a DIVE device, focusing on fixation duration, saccadic performance and fixation stability. Fixation stability was quantified by the bivariate contour ellipse area for short tasks (BCEA), which measures (in deg²) the area of the ellipse enclosing a specified percentage of fixation positions—smaller BCEA values indicate greater fixation stability. We performed a cluster analysis on these oculomotor metrics to identify distinct oculomotor control patterns. Results: Preterm children exhibited significantly poorer fixation stability than controls (mean BCEA 0.21 vs. 0.09 logdeg², p = 0.004), alongside shorter fixation durations and longer saccadic reaction times. Early preterm children showed more unstable fixations compared to late-preterm and control groups (0.26 vs. 0.12 and 0.09 logdeg², respectively, p = 0.001). Cluster analysis revealed three distinct OMC (oculomotor control) patterns: “good,” “impulsive,” and “poor.” Children classified in the “good OMC” cluster demonstrated stable fixations and appropriate saccadic reaction times. In contrast, those in the “impulsive OMC” and “poor OMC” clusters exhibited more unstable fixations and abnormal saccadic times, with the “poor” cluster being significantly associated with extreme prematurity, lower birth weights, and a higher incidence of intraventricular hemorrhage (IVH). Conclusions: Preterm birth is associated with measurable oculomotor deficits, most pronounced in early preterm infants, affecting their fixation and saccadic abilities. The findings emphasize the need for targeted interventions to support the development of preterm children, particularly those with “poor” oculomotor control behavior. Full article

Background/Objectives: Eye movements provide important insights into face processing. Hidden Markov models of eye movements (EMHMMs) are a relatively new approach that identifies common patterns across observers, moving beyond region-of-interest analyses. Prior EMHMM studies with static faces have typically revealed two strategies: a central “holistic” style and a feature-based “analytical” style. However, it is unknown whether such patterns extend to dynamic faces, which more closely reflect real-world viewing. This study is the first to apply EMHMMs to dynamic face recognition. Methods: Participants completed a face learning task in which half of the identities were presented as static images and half as dynamic videos. Eye movements were analysed using EMHMMs during both learning and recognition phases. Results: Two consistent patterns emerged across conditions: Central-focused and Eye-focused. A small subgroup displayed a third, central-plus-right-eye pattern when learning static faces. Eye movement patterns were largely stable across static and dynamic conditions, with only 16–27% of participants switching between them. Patterns were generally unrelated to recognition accuracy; however, participants adopting Eye-focused patterns during static learning performed better on static recognition. Conclusions: EMHMM-identified patterns generalise from static to dynamic faces, indicating strong stability in face-viewing behaviour across stimulus types. This finding contrasts with previous region-of-interest analyses suggesting greater differences between static and dynamic faces. By extending EMHMMs to dynamic faces, this study underscores the value of diverse analytical approaches for capturing eye movement behaviour and advancing understanding in face processing. Full article

Background: College students face significant stress from academic demands and high pressures, which can contribute to long-term physical and mental health issues. Existing stress-relief strategies are not always immediately available to this population, highlighting the need for accessible, low-cost solutions. Methods: This randomised controlled trial examined the effects of nature exposure on stress and well-being in a sample of 29 healthy college students compared to a healthy control group (n = 28). The intervention group engaged in 30 min walks in a natural environment four times per week over a four-week period. Stress levels and general well-being were assessed using validated self-report questionnaires administered before and after the intervention period, allowing for a comparison of changes in mental health outcomes between an intervention and control group. Eye-tracking analysis during a battery of cognitive tests assessed cognitive functioning. Findings: The intervention was associated with a greater reduction in psychological distress over time (β = −2.98, p = 0.007) and showed a trend toward reduced burnout symptoms (β = −0.12, p = 0.08) compared to the control group. These associations are independent of sex, age, BMI, smoking status, COVID-19 history, and previous diagnosis of mental illness. An increase in the number of saccades during the visual working memory task was observed in the intervention group compared to controls (β = 5.01, p = 0.046), while saccadic activity in other tasks remained unchanged. No significant effects were found for the neurocognitive performance measures. Conclusions: These findings suggest that short-term nature exposure may support psychological well-being and mental engagement in young adults. Our research highlights the use of walking in nature as a realistic and accessible strategy to promote mental health and neurocognitive functioning among students. Full article

This study focuses on the use of eye-tracking technology to analyse the rider’s visual attention during racing on a Ducati Panigale V2 motorcycle. Using the TOBII Pro Glasses 2 system, the rider’s gaze dynamics were recorded, including fixations, eye movements (saccades) and gaze distribution on key sections of the track. The results revealed a link between gaze stability and cornering efficiency, particularly in optimising braking points and selecting the ideal trajectory. Identifying unstable visual behavior—such as frequent gaze deviations or constant switching between reference points—provides valuable insights for improving driving technique. This approach confirms the importance of eye-tracking as a tool for objective evaluation and optimization of rider performance in motorsport. Full article

This article investigates the use of visual cues, such as colour coding, to enhance educational materials and optimise students’ learning. The aim of the study was to examine how colour coding (CC) of selected components of a task influenced students’ cognitive engagement (CE) when solving algorithmic problems. We present experimental results from studies using eye-tracking techniques, which provide fine-grained behavioural indicators serving as proxy insights into learners’ cognitive processes. The findings reveal that the distribution of visual attention—measured through fixation time percentage, fixation count in areas of interest (AOIs), and the sequence in which task components were viewed—differed significantly between colour-coded and black-and-white task formats. Furthermore, analysis of two key eye-tracking indicators—fixation duration total (FDT) and average fixation duration (FDA)—suggests an increased level of cognitive engagement in students who had difficulty understanding the presented concepts while solving the colour-coded tasks. These results indicate that colour coding may help sustain students’ attention and engagement, especially when they face challenges in interpreting educational materials or engaging in complex problem-solving tasks. Full article

Public-health campaigns have to capture and hold visual attention, but little is known about the influence of message framing and visual appeal on attention to bowel-cancer screening ad campaigns. In a within-subjects test, 42 UK adults aged 40 to 65 viewed 54 static adverts that varied by (i) slogan frame—anticipated regret (AR) vs. positive (P); (ii) image type—hand-drawn, older stock, AI-generated; and (iii) identity congruence—viewer ethnicity matched vs. unmatched to the depicted models. Remote eye-tracking measured time to first fixation (TTFF), dwell, fixations, and revisits on a priori pre-defined regions of interest (ROIs); analyses employed linear mixed-effects models (LMMs), generalized estimating equations (GEEs), and median quantile regressions with cluster at the participant level. Across models, the AR slogans produced faster orienting (smaller TTFF) and more intense maintained attention (longer dwell, more fixations and revisits) than the P slogans. Image type set baseline attention (hand-drawn > old stock > AI) but did not significantly decrease the AR benefit, which was equivalent for all visual styles. Identity congruence enhanced early capture (lower TTFF), with small effects for dwell-based measures, suggesting that tailoring benefits only the “first glance.” Anticipated-regret framing is a reliable, design-level alternative to improving both initial capture and sustained processing of screening messages. In practice, the results indicate that advertisers should pair regret-based slogans with warm, human-centred imagery; place slogans in high-salience, low-competition spaces, and, when incorporating AI-generated imagery, reduce composition complexity and exclude uncanny details. These findings ground regret framing as a visual-attention mechanism for public-health campaigns in empirical fact and provide practical recommendations for testing and production. Full article

We present the eyeglass-type switch, an eyeglass-mounted eye/blink switch designed for nurse-call operation by people with severe motor impairments, with a particular focus on amyotrophic lateral sclerosis (ALS). The system targets real-world bedside constraints—low illumination at night, supine posture, and network-independent operation—by combining near-infrared (NIR) LED illumination with an NIR eye camera and executing all processing on a small, GPU-free computer. A two-stage convolutional pipeline estimates eight periocular landmarks and the pupil center; eye-closure is detected either by a binary classifier or by an angle criterion derived from landmarks, which also skips pupil estimation during closure. User intent is determined by crossing a caregiver-tunable “off-area” around neutral gaze, implemented as rectangular or sector shapes. Four output modes—single, continuous, long-press, and hold-to-activate—are supported for both oculomotor and eyelid inputs. Safety is addressed via relay-based electrical isolation from the nurse-call circuit and audio feedback for state indication. The prototype runs at 18 fps on commodity hardware. In feature-point evaluation, mean errors were 2.84 pixels for landmarks and 1.33 pixels for the pupil center. In a bedside task with 12 healthy participants, the system achieved $F=0.965$ in single mode and $F=0.983$ in hold-to-activate mode; blink-only input yielded $F=0.993$. Performance was uniformly high for right/left/up and eye-closure cues, with lower recall for downward gaze due to eyelid occlusion, suggesting camera placement or threshold tuning as remedies. The results indicate that the proposed switch provides reliable, low-burden nurse-call control under nighttime conditions and offers a practical input option for emergency alerts and augmentative and alternative communication (AAC) workflows. Full article

Children with attention deficit hyperactivity disorder (ADHD) often exhibit different oculomotor behavior compared to their typically developing peers. Research shows that eye movement patterns can provide important information about attention mechanisms. While eye movements have been examined in various cognitive contexts, this study investigated their role in a task designed to assess their potential as indicators of attention functioning in children with ADHD. Specifically, we assessed tonic attention, attentional focus, and selective attention. Seventy participants aged 9–12 years with DSM-5 ADHD-I and ADHD-C types participated in our research. We then included the results of 57 participants in our study. We used the d2-R attention test and the Reaction alertness test to determine the specifics we were looking for. We used Eye Tracking Glasses (ETG) 2w to capture eye movements. The results show that quiet eye (QE) duration does not reliably predict visuomotor performance in this population. Our findings further suggest that in children with ADHD, the QE phase is not the primary period for acquiring visual information important for movement planning; rather, relevant information is gathered earlier in the process. Conversely, prolonged onset and duration of QE were associated with poorer attentional efficiency, suggesting that in ADHD, longer QE may reflect slower or less efficient cognitive processing rather than increased control. Full article

This feasibility study explored the integration of physiological monitoring into a virtual reality (VR) intervention for pediatric pain management. The goal of this study is to identify a feasible strategy for collecting physiologic data in the context of a VR intervention currently being developed for youth with chronic pain. We assess the potential of Cognitive Load (CL)—derived from heart rate and pupillometry/eye-tracking data—as a marker of arousal and user engagement in a VR simulation to promote school functioning in youth with chronic pain. The HP Reverb G2 Omnicept headset and Polar H10 heart-rate sensor were utilized. The Child Presence Questionnaire (CPQ) assessed participants’ self-reported immersion and engagement. Data collection focused on feasibility and utility of physiologic data in assessing arousal and correlations with self-reported experience. Nine participants engaged in the simulation, with eight yielding complete data. The simulation and headset were well tolerated. CPQ Transportation subscale showed trend-level correlation with mean CL. Due to small sample and feasibility focus, individual-level results were examined. Combining multiple physiologic markers into a construct like CL is intriguing, but data interpretability was limited. Pupillometry and related metrics show promise as feasible markers of engagement and arousal for VR-based intervention but require appropriate expertise to fully interpret. The study found that integration of physiologic monitoring is feasible, but further work is needed to standardize metrics and identify the most useful and user-friendly markers. Full article

This study examined how drivers’ eye fixations change before, during, and after recognizing road markings, and how these changes relate to driving speed, visual complexity, cognitive functions, and demographics. 20 licensed drivers viewed on-board movies showing digit or character road markings while their eye movements were tracked. Fixation positions and dispersions were analyzed. Results showed that, regardless of marking type, fixations were horizontally dispersed before and after recognition but became vertically concentrated during recognition, with fixation points shifting higher (p < 0.001) and horizontal dispersion decreasing (p = 0.01). During the recognition period, fixations moved upward and narrowed horizontally toward the final third (p = 0.034), suggesting increased focus. Longer fixations were linked to slower speeds for digits (p = 0.029) and more characters for character markings (p < 0.001). No significant correlations were found with cognitive functions or demographics. These findings suggest that drivers first scan broadly, then concentrate on markings as they approach. For optimal recognition, simple or essential information should be placed centrally or lower, while detailed content should appear higher to align with natural gaze patterns. In high-speed environments, markings should prioritize clarity and brevity in central positions to ensure safe and rapid recognition. Full article

The rapid expansion of metro systems has exacerbated lighting-related issues, including uneven illuminance, glare, and blind spots. These issues compromise passenger visual comfort and perceived safety. Previous research has predominantly focused on individual lighting parameters, paying little attention to the combined effects of multiple factors. Perceived safety is a core objective in metro space design and is particularly susceptible to adverse visual environments. This study uses field measurements, virtual environment simulations, and eye tracking experiments to investigate the influence of lighting conditions and interface design (ceiling height and material) on visual comfort and perceived safety. The findings indicate that light-coloured, low-reflectance materials enhance visual guidance, whereas dark, high-reflectance surfaces induce frequent gaze shifts and diminish perceived safety. The optimal environmental benchmark parameters were illuminance levels of 140–270 lux and a correlated color temperature (CCT) of 4428–6250 K. This study also discusses optimizing interface design parameters in different spatial contexts. It also revealed systematic correlations between lighting parameters and spatial geometry, particularly regarding ceiling height. Elevated spaces require increased illuminance and color temperature to compensate for light attenuation, while areas with low ceilings necessitate reduced lighting intensity and warmer color temperatures to mitigate oppressive sensations. This evidence provides a human-centered theoretical foundation for lighting design in underground transport spaces. Full article

Emergency evacuation signage in metro stations plays a critical role in guiding occupants to evacuate quickly and safely. However, variations in placement height and other display attributes can affect the perceptual efficiency of signage. This study takes a metro station in Changsha, China, as an example and constructs two virtual disaster scenarios—fire and flood. An eye-tracking experiment was designed and conducted, yielding 164 valid experimental samples (89 fire, 75 flood). We compared the visual effectiveness of signage at three heights: low (0–0.8 m), medium (0.8–2 m), and high (>2 m). The results indicate that (1) low-position signage exhibits superior immediacy and should be prioritized for emergency response; (2) medium-position signage strikes a balance between perceived importance and immediacy, serving effectively as central nodes for both routine and emergency purposes; (3) high-position signage presents significant advantages in perceived importance and is suitable for conveying comprehensive, multi-level evacuation information. This research provides empirical evidence for optimizing the spatial layout of emergency evacuation signage in metro stations, offering valuable guidance for enhancing emergency evacuation capabilities in subway environments. Full article

The development of high-performance MEMS-based eye trackers, crucial for next-generation medical diagnostics and human–computer interfaces, is often hampered by the mechanical instability and time-consuming recalibration of physical prototypes. To address this bottleneck, we present the development and rigorous validation of a high-fidelity digital twin (DT) designed to accelerate the design–test–refine cycle. We conducted a comparative study of a physical MEMS scanning system and its corresponding digital twin using a USAF 1951 test target under both static and dynamic conditions. Our analysis reveals that the DT accurately replicates the physical system’s behavior, showing a geometric discrepancy of <30 µm and a matching feature shift (1 µm error) caused by tracking dynamics. Crucially, the DT effectively removes mechanical vibration artifacts, enabling the precise analysis of system parameters in a controlled virtual environment. The validated model was then used to develop a pupil detection algorithm that achieved an accuracy of 1.80 arc minutes, a result that surpasses the performance of a widely used commercial system in our comparative tests. This work establishes a validated methodology for using digital twins in the rapid prototyping and optimization of complex optical systems, paving the way for faster development of critical healthcare technologies. Full article