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How can marketers create slogans that consumers like and remember? We answer this question by analyzing how the lexical, semantic, and emotional properties of a slogan's individual words combine to influence slogan liking and slogan memory. Through a large correlational study with over 800 brand slogans, laboratory experiments, a biometric eye-tracking experiment, and a field study, we unearth the word properties that make slogans effective. We predict and find that linguistic properties that make a slogan easier to process (i.e. more fluent) result in slogans that are more likable but less memorable, whereas linguistic properties that reduce processing fluency result in slogans that are less likable but more memorable. Across our multi-method investigation, participants indicated a more favorable attitude toward slogans that are shorter, omit the brand name, and use words that are linguistically frequent, perceptually distinct, and abstract. In contrast, participants were more likely to remember slogans that are longer, include the brand name, and use words that are linguistically infrequent, concrete, and less perceptually distinct. We conclude by offering marketers practical advice into optimal word-choice strategies and delivering actionable guidance for creating slogans that are either likable or memorable. [ABSTRACT FROM AUTHOR]

New brand launches are notoriously risky, with high failure rates. Yet, most research focuses on the out-of-store factors inherent to their success/failure, overlooking strategies that can be employed in-store. The present research addresses this oversight by examining the influence of two in-store factors, distraction and shelf position, and their impact on a new brand's visibility on the shelf. We draw on a unique data set featuring a real-life new brand entrant into the Australian market. Using an experimental design in a shopper laboratory, and mobile eye-tracking, we find that the new brand stands a greater chance of being noticed and visually attended to on the shelf when shoppers are distracted. This is attributed to shoppers dwelling longer in front of the fixture, being more open to new-to-the-consumer brands, and by negatively affecting the top-down processing of existing brands on the shelf. We also find that optimising shelf position, which is a common in-store marketing tactic for existing brands, may not produce the same return on investment for a new brand. The findings offer valuable theoretical and practical implications for improving the success rates of new brand launches, including selection of distribution channels, allocation of marketing resources, and the interplay between in-store and out-of-sore factors driving shopper behaviour. [ABSTRACT FROM AUTHOR]

Anxiety can impair the central executive functioning in working memory (WM). Further, the adverse effect of anxiety on the central executive would be greater when threat-related distractors are present. This study investigated the effect of task-irrelevant emotional faces on WM updating in social anxiety. Forty-one socially anxious (SA) and thirty-nine non-anxious (NA) participants completed an emotional face interference n-back task coupled with eye movement recording. The results showed that, in the 2-back task, SA participants had longer reaction times in the angry-neutral and neutral-neutral interference conditions than in the no-interference condition, whereas NA participants had longer reaction times in the happy-neutral and neutral-neutral interference conditions than in the no-interference condition. In addition, SA participants initially fixated on angry faces more frequently and spent more time looking at them, whereas NA participants initially fixated on happy faces more frequently and spent more time looking at them. This study suggests that attentional bias towards social threats reduces the efficiency rather than effectiveness of WM updating in social anxiety. Moreover, SA individuals are better at resisting interference from task-irrelevant positive stimuli, while NA individuals are better at resisting interference from task-irrelevant threatening stimuli. [ABSTRACT FROM AUTHOR]

Investigating social context effects and emotional modulation of attention in a laboratory setting is challenging. Electroencephalography (EEG) requires a controlled setting to avoid confounds, which goes against the nature of social interaction and emotional processing in real life. To bridge this gap, we developed a new paradigm to investigate the effects of social context and emotional expressions on attention in a laboratory setting. We co-registered eye-tracking and EEG to assess gaze behavior and brain activity while participants performed a discrimination task followed by feedback. Video clips of one second in which a confederate displayed either positive, neutral or negative expressions were presented as feedback to the discrimination task. Participants’ belief was manipulated by telling them that the videos were selected either by the computer (non-social condition) or by the experimenter in the adjacent room that observed them via videochat (social condition). We found that emotional expressions modulated late attention processing in the brain (EPN and LPC), but neither early processing (P1) nor saccade latency. Social context did not influence any of the variables studied. We conclude this new paradigm serves as a stepping stone to the development of new paradigms to study social interaction within EEG experiments. [ABSTRACT FROM AUTHOR]

The outbreak of the COVID-19 pandemic caused dashboards to become widely used by the public and decision-makers. Nevertheless, dashboard interfaces have been related to business intelligence since their origins, and the search for improvements in their design is not new. This article's objective is to conduct a user evaluation of COVID-19 dashboards that contain geospatial information. This is done through a formative study to identify problematic aspects of user/dashboard interaction. This is enhanced by comparing two self-developed dashboards that, according to previous tests, have functionalities with different appearances. User evaluation is performed through mixed research that combines objective (eye-tracking) and subjective (a questionnaire and an interview) methods. The results generate recommendations for better-designed dashboard interfaces that can transfer information appropriately. The vital elements needed to achieve this are interactivity, the option to choose the metrics, and the distribution of the elements in the layout, all playing a role in a more user-friendly interaction between the user and the dashboard. [ABSTRACT FROM AUTHOR]

Eye-tracking data can be used to understand how users interact with web pages. Understanding the eye-movement sequences of multiple users is a challenging task because the sequence followed by each user tends to be different. Scanpath Trend Analysis (STA) brings multiple individual eye-movement sequences together and identifies a representative sequence as a trending path. However, eye-tracking data on a web page is required to determine the trending path. Our aim here is to investigate whether we can train Machine Learning (ML) algorithms to identify trending elements on a web page without collecting eye-tracking data on that web page. This article presents our experiments with different ML classification algorithms towards achieving that goal. To validate the experiments, we used two datasets from previous research, the first one included browsing and searching tasks and the second one included browsing and synthesis tasks. Our experiments show that the k-nearest neighbors algorithm (KNN) model can successfully identify the trending elements in the first dataset for both browsing (F1= ≈ 91%) and searching tasks (F1= ≈ 88%). However, the second dataset's synthesis task results were not as successful as its browsing task results. Our work here shows that a model can be created to predict the trending elements in web pages solely with web page features but the task is a critical factor in the success of prediction. [ABSTRACT FROM AUTHOR]

Introduction: During mental rotation tasks, it is assumed that participants visualize a rotation of objects in their minds (internal visualization), but mental rotation has also been linked to the visible rotation of objects on a screen (external visualization). The angular disparity in mental rotation also influences postural sway, the movements of the body center. Postural sway is thus suspected as one type of indirect measurement of the rotation process. We compare the external visualization of rotation with the suspected internal visualization during mental rotation tasks. We suspect both are similar and thus produce a comparable effect on postural sway. Methods: One hundred and fifty participants completed three rotation tasks with cube figures, two of which were aided by external visualization. Their center of pressure was measured throughout. The effects of external visualization, angular disparity, and their interaction on postural sway were compared using Bayesian statistics and a decision boundary of 3 or 1/3. Results and discussion: The results indicate no differences between conditions for all postural sway parameters. We observe differences between conditions in cognitive load and reaction time. However, as these partially also differ between the two external visualization conditions and do not transfer to differences between the postural sway parameters, the underlying processes in the three conditions are likely similar. Our results support the notion that the visualization of rotation is central to postural sway during mental rotation. This further supports that the rotation process of the external visualization and mental rotation are similar and thus that stimuli are indeed rotated mentally during mental rotation tasks. Our results further support that the common process between mental and manual rotation lies in the visualization instead of mental rotation being an imagined motor action. Because visual control and feedback play an essential role in many motor tasks, the results could also be of further interest for a more general link between motor and cognitive tasks and bidirectional benefits through the construction of visual similarities. [ABSTRACT FROM AUTHOR]

There has been a lot of controversy regarding mirror neuron function in autism spectrum disorder (ASD), in particular during the observation of biological motions (BM). Here, we directly explored the link between visual attention and brain activity in terms of mu suppression, by simultaneously recording eye‐tracking and EEGs during BM tasks. Nineteen autistic children (15 boys, mean age = 11.57 ± 4.28 years) and 19 age‐matched neurotypical (NT) children (15 boys, mean age = 11.68 ± 5.22 years) participated in the study. Each participant's eye movement and EEG were simultaneously recorded while watching four BM stimuli (walking, cartwheeling, free‐throwing and underarm throwing) and a scrambled condition. Mu (8–13 Hz) suppression index (SI) for central regions was calculated. Fixation counts and percent of fixation time were calculated as indices of eye movements. EEG results revealed significant mu suppressions in the central region in both groups for all BM actions. Eye‐tracking results showed that NT children had greater fixation counts and a higher percentage of fixation time than autistic children, indicating greater overall visual attention to BM. Notably, correlational analyses for both groups further revealed that individuals' fixation time and fixation counts were negatively correlated with the mu suppression index for all actions, indicating a strong association between visual attention and mu SI in the central region. Our findings suggest a critical role of visual attention in interpreting mu suppression during action perception in autism. [ABSTRACT FROM AUTHOR]

Background: Detecting invalid cognitive performance is an important clinical challenge in neuropsychological assessment. The aim of this study was to explore behavior and eye-fixations responses during the performance of a computerized version of the Test of Memory Malingering (TOMM-C) under standard vs. feigning conditions. Participants and methods: TOMM-C with eye-tracking recording was performed by 60 healthy individuals (31 with standard instruction – SI; and 29 were instructed to feign memory impairment: 21 Naïve Simulators – NS and 8 Coached Simulators – CS) and 14 patients with Multiple Sclerosis (MS) and memory complaints performed. Number of correct responses, response time, number of fixations, and fixation time in old vs. new stimuli were recorded. Nonparametric tests were applied for group comparison. Results: NS produced fewer correct responses and had longer response times in comparison to SI on all three trials. SI showed more fixations and longer fixation time on previously presented stimuli (i.e., familiarity preference) specially on Trial 1, whereas NS had more fixations and longer fixation time on new stimuli (i.e., novelty preference) specially in the Retention trial. MS patients produced longer response time and had a different fixation pattern than SI subjects. No behavioral or oculomotor difference was observed between NS and CS. Conclusion: Healthy simulators have a distinct behavioral and eye-fixation response pattern, reflecting a novelty preference. Oculomotor measures may be useful to detect exaggeration or fabrication of cognitive dysfunction. Though, its application in clinical populations may be limited. [ABSTRACT FROM AUTHOR]

Objective: Depression is often characterized by a persistent sense of failure. Cognitive theories of depression suggest that depressed individuals may exhibit a maladaptive cognitive style, characterized by increased self-focus following personal failure. The validity of this proposition, however, is yet to be fully examined. This study aimed to identify the relation between symptoms in major depressive disorder and increased self-focus in failure situations. Methods: This clinical study involved a cohort of 30 patients diagnosed with and treated for depression. We used an eye-tracking paradigm to observe and analyze gaze direction – indicative of either self-focus or self-avoidance – after remembering a significant failure event. Results: Contrary to the maladaptive cognitive style hypothesis, a majority of the depressed participants demonstrated an inclination towards self-avoidance following failure. Nevertheless, approximately 30% of the patient group – those with the highest scores of guilt, punishment, and self-blame – displayed a self-focused attentional bias post-failure. Conclusions: The presence of a maladaptive self-focusing style may be confined to severely depressed patients with high levels of guilt, punishment, and self-blame. These findings could have substantial clinical implications, as attention bias modification interventions could be particularly beneficial for this subgroup of patients. [ABSTRACT FROM AUTHOR]

Background: Perceptual and speech production abilities of children with cochlear implants (CIs) are usually tested by word and sentence repetition or naming tests. However, these tests are quite far apart from daily life linguistic contexts. Aim: Here, we describe a way of investigating the link between language comprehension and anticipatory verbal behaviour promoting the use of more complex listening situations. Methods and Procedure: The setup consists in watching the audio‐visual dialogue of two actors. Children's gaze switches from one speaker to the other serve as a proxy of their prediction abilities. Moreover, to better understand the basis and the impact of anticipatory behaviour, we also measured children's ability to understand the dialogue content, their speech perception and memory skills as well as their rhythmic skills, that also require temporal predictions. Importantly, we compared children with CI performances with those of an age‐matched group of children with normal hearing (NH). Outcomes and Results: While children with CI revealed poorer speech perception and verbal working memory abilities than NH children, there was no difference in gaze anticipatory behaviour. Interestingly, in children with CI only, we found a significant correlation between dialogue comprehension, perceptual skills and gaze anticipatory behaviour. Conclusion: Our results extend to a dialogue context of previous findings showing an absence of predictive deficits in children with CI. The current design seems an interesting avenue to provide an accurate and objective estimate of anticipatory language behaviour in a more ecological linguistic context also with young children. WHAT THIS PAPER ADDS: What is already known on the subject: Children with cochlear implants seem to have difficulties extracting structure from and learning sequential input patterns, possibly due to signal degradation and auditory deprivation in the first years of life. They also seem to have a reduced use of contextual information and slow language processing among children with hearing loss. What this paper adds to existing knowledge: Here we show that when adopting a rather complex linguistic context such as watching a dialogue of two individuals, children with cochlear implants are able to use the speech and language structure to anticipate gaze switches to the upcoming speaker. What are the clinical implications of this work?: The present design seems an interesting avenue to provide an accurate and objective estimate of anticipatory behaviour in a more ecological and dynamic linguistic context. Importantly, this measure is implicit and it has been previously used with very young (normal‐hearing) children, showing that they spontaneously make anticipatory gaze switches by age two. Thus, this approach may be of interest to refine the speech comprehension assessment at a rather early age after cochlear implantation where explicit behavioural tests are not always reliable and sensitive. [ABSTRACT FROM AUTHOR]

To synthesize eye-tracking-based evidence on consumers' visual attention devoted to alcohol warning labels (AWLs) on alcohol packaging. A systematic review was conducted and reported in accordance with the PRISMA guidelines. Two rounds of a literature search were conducted to identify relevant peer-reviewed articles and unpublished grey literature. While the first round (July 3 to August 21, 2023) was based on three electronic databases (PubMed, Web of Science, and PsycINFO), the second round (May 20 to 28, 2024) followed a multiple-step protocol that systematically searched the grey literature. Five criteria were applied to screen eligible articles. Using established quality control tools, the identified articles were assessed for overall quality and then for quality specific to the eye-tracking method. Six published peer-reviewed articles were thus included in the current review along with one unpublished research paper from a doctoral thesis. This review paper summarizes earlier findings in terms of bottom-up (i.e., AWL design-related) factors such as size, color, surrounding border, and pictorial elements, and top-down (i.e., goal-driven) factors such as motivation to change drinking behavior and self-affirmation. The review found that people tend to pay very little attention to AWLs displayed on alcohol packaging, although there is mixed evidence as to the effectiveness of specific factors. Further investigations using eye-tracking are needed to collect additional evidence on attention devoted to AWLs. Meanwhile, we put forward implications for policymakers and future avenues for research based on our review of the existing literature. [ABSTRACT FROM AUTHOR]

Background: Regular moderate–vigorous intensity exercise is recommended for adults as it can improve longevity and reduce health risks associated with a sedentary lifestyle. However, there are barriers to achieving intense exercise that may be addressed using virtual reality (VR) as a tool to promote exercise intensity and adherence, particularly through visual feedback and competition. The purpose of this work is to compare visual feedback and competition within fully immersive VR to enhance exercise intensity and user experience of exercise for young adults; and to describe and compare visual attention during each of the conditions. Methods: Young adults (21–34 years old) bicycled in three 5 min VR conditions (visual feedback, self-competition, and competition against others). Exercise intensity (cycling cadence and % of maximum heart rate) and visual attention (derived from a wearable eye tracking sensor) were measured continuously. User experience was measured by an intrinsic motivation questionnaire, perceived effort, and participant preference. A repeated-measures ANOVA with paired t-test post hoc tests was conducted to detect differences between conditions. Results: Participants exercised at a higher intensity and had higher intrinsic motivation in the two competitive conditions compared to visual feedback. Further, participants preferred the competitive conditions and only reached a vigorous exercise intensity during self-competition. Visual exploration was higher in visual feedback compared to self-competition. Conclusions: For young adults bicycling in VR, competition promoted higher exercise intensity and motivation compared to visual feedback. [ABSTRACT FROM AUTHOR]

Modern mental fatigue detection methods include many parameters for evaluation. For example, many researchers use human subjective evaluation or driving parameters to assess this human condition. Development of a method for detecting the functional state of mental fatigue is an extremely important task. Despite the fact that human operator support systems are becoming more and more widespread, at the moment there is no open-source solution that can monitor this human state based on eye movement monitoring in real time and with high accuracy. Such a method allows the prevention of a large number of potential hazardous situations and accidents in critical industries (nuclear stations, transport systems, and air traffic control). This paper describes the developed method for mental fatigue detection based on human eye movements. We based our research on a developed earlier dataset that included captured eye-tracking data of human operators that implemented different tasks during the day. In the scope of the developed method, we propose a technique for the determination of the most relevant gaze characteristics for mental fatigue state detection. The developed method includes the following machine learning techniques for human state classification: random forest, decision tree, and multilayered perceptron. The experimental results showed that the most relevant characteristics are as follows: average velocity within the fixation area; average curvature of the gaze trajectory; minimum curvature of the gaze trajectory; minimum saccade length; percentage of fixations shorter than 150 ms; and proportion of time spent in fixations shorter than 150 milliseconds. The processing of eye movement data using the proposed method is performed in real time, with the maximum accuracy (0.85) and F1-score (0.80) reached using the random forest method. [ABSTRACT FROM AUTHOR]

Introduction Military service members (SMs) are exposed to repetitive head impacts (RHIs) in combat and training that are purported to adversely affect brain health, including cognition, behavior, and function. Researchers have reported that RHI from blast-related exposure may affect both vestibular and ocular function, which in turn may be related to symptomology. As such, an examination of the effects of RHI on exposed military SMs should incorporate these domains. To date, researchers have not compared groups of exposed special operations forces (SOF) operators on combined clinical vestibular/ocular and eye-tracker-based outcomes. Therefore, the primary purpose of this study was to compare participant-reported symptoms and performance on the Vestibular/Ocular Motor Screening (VOMS) tool with performance on the computerized RightEye tracking system between SOF operators exposed to blast-related RHI and healthy controls without blast-related exposure. In addition, the study aimed to compare subgroups of snipers and breachers exposed to RHI to controls on the preceding metrics, as well as identify a subset of individual (demographic) factors, participant-reported symptoms, and performance metrics on VOMS and RightEye that best identify SOF operators exposed to RHI from unexposed controls. Materials and Methods The study involved a cross-sectional design including 25 Canadian SOF SMs comprised of breachers (n  = 9), snipers (n  = 9), and healthy, unexposed controls (n  = 7). The former 2 groups were combined into an RHI group (n  = 18) and compared to controls (n  = 7). Participants provided demographics and completed a self-reported concussion-related symptom report via the Military Acute Concussion Evaluation 2, the VOMS, and RightEye computerized eye-tracking assessments. Independent samples t -tests and ANOVAs were used to compare the groups on the outcomes, with receiver operating characteristic curve and area under the curve (AUC) analyses to identify predictors of blast exposure. This study was approved by the Defence Research Development Canada Human Research Ethics Committee and the Canadian Forces Surgeon General/Special Forces Command. Results The results from t -tests supported group differences for age (P  = .012), participant-reported symptoms (P  = .006), and all VOMS items (P range = <.001-.02), with the RHI group being higher than healthy controls on all variables. ANOVA results supported group differences among snipers, breachers, and controls for age (P  = .01), RightEye saccades (P  = .04), participant-reported total symptom severity (P  = .03), and VOMS total scores (P  = .003). The results of the receiver operating characteristic curve analyses supported age (AUC = 0.81), Military Acute Concussion Evaluation 2 participant-reported total symptom severity (AUC = 0.87), and VOMS total scores (AUC = 0.92) as significant predictors of prior blast exposure. Conclusions Participant-reported concussion symptoms, VOMS scores, and age were useful in identifying SOF operators exposed to RHI from controls. RightEye metrics were not useful in differentiating RHI groups from controls. Differences between snipers and breachers warrant further research. Overall, the findings suggest that VOMS may be a useful tool for screening for the effects of exposure to RHI in SOF operators. Future investigations should be conducted on a larger sample of military SMs, consider additional factors (e.g. RHI exposure levels, medical history, and sex), and include additional assessment domains (e.g. balance, cognitive, and psychological). [ABSTRACT FROM AUTHOR]

Background & Aims: Eye-tracking technology provides a mechanism to explore regressive fixation behaviors to words constituting specific categories (i.e., content and function words) when people with aphasia (PWA) and neurotypical adults (NA) read multi-sentence narratives. Examining regressive eye movements to words comprising different categories allows for further discernment of intact and altered fixation behaviors that may contribute to the future development of interventions and supports. Methods: Eight PWA and eight NAs read paragraph-length narratives while having eye movements tracked. Analyzed variables were the average log-transformed regression rate per content and function word; average duration of regressions to content and function words; and, among content words, average log-transformed regression rate per noun, verb, and modifier. Results: Both participant groups exhibited significantly higher average regression rates per content than function word. PWA exhibited longer average fixation durations to content than function words, while NA exhibited no word type difference. PWA exhibited individual differences in regression rates to nouns, verbs, and modifiers, even though no significant differences occurred per content word type. Among NAs, only the mean regression rate between nouns and modifiers differed significantly. Conclusions: Both PWA and NAs exhibit more frequent relative regressions to content than function words. This suggests that PWA retain awareness of the value of content words for conveying meaning. Distinct regression rates per type of content word suggest that some PWA may experience greater difficulty comprehending specific content word subtypes. Further individualized assessment using eye-tracking technology will advance understanding about reading comprehension strengths and challenges among PWA. [ABSTRACT FROM AUTHOR]

• Emotional stimuli affected neural responses during natural shifts of attention. • Neural processing of emotions started earlier during natural shifts of attention. • Saccade latency differed between natural shifts of attention and instructed shifts. • Saccade latency was not modulated by emotional content. In daily life, individuals pay attention to emotional facial expressions and dynamically choose how to shift their attention, i.e. either overtly (with eye-movements) or covertly (without eye-movements). However, research on attention to emotional faces has mostly been conducted in controlled laboratory settings, in which people were instructed where to look. The current preregistered study co-registered EEG and eye-tracking to investigate differences in emotion-driven attention between instructed and uninstructed natural attention shifts in 48 adults. While a central stimulus was presented to the participant, a face appeared in the periphery, showing either a happy, neutral or an angry expression. In three counterbalanced blocks participants were instructed to either move their eyes overtly to the peripheral face, keep fixating the center and therefore covertly shift their attention, or freely look wherever they would like to look. We found that emotional content had stronger effects on the amplitude of the Early Posterior Negativity when participants shifted attention naturally, and that natural shifts of attention differed from instructed shifts in both saccade behavior and neural mechanisms. In summary, our results emphasize the importance of investigating modulation of attention using paradigms that allow participants to allocate their attention naturally. [ABSTRACT FROM AUTHOR]

Tunnel construction is crucial to the advancement of global transportation networks. Despite their importance, there have been few investigations on the safety and comfort of workers. Tunnel workers operate under various adverse conditions that lead to multiple forms of fatigue. Researchers have suggested that there is a specific type of fatigue stemming from insufficient natural or improper artificial lighting that has largely been overlooked in previous studies. To validate the existence of illumination-induced fatigue and explore control measures, this study conducted virtual reality experiments in a simulated tunnel construction setting and collected and analyzed data from scales, electroencephalogram, and eye-tracking. The results indicated significant variations in fatigue levels with changes in illumination, whereas the environment remained constant, confirming the presence of illumination fatigue. Moreover, the analysis of the scale results aligned with the EEG findings, ranking the comfort levels of the mucking illumination as 100>75>150>50>200>30>15>10>0 lx. The modeling of illumination fatigue identified three comfort levels of illumination, I: [75, 100], II: [15, 75) ∪ (100, 200], III: [0, 15], thereby establishing that illumination fatigue can be controlled through improved lighting. Subsequently, to address the issue of uneven illumination distribution at construction sites, key areas for mucking task lighting were identified using eye-tracking technology as the upper and lower edges of the bucket, debris being moved, and expected stacking area. Finally, by comparing and summarizing the divergent conclusions of previous studies, this study proposed various targeted lighting guidelines. This comprehensive study not only enriches the current understanding and experimental design reference for tunnel construction fatigue but also provides practitioners with specific and effective lighting guidance to significantly reduce workers' fatigue and improve their working conditions. Practical Applications: The results of laboratory studies indicate that inadequate or excessive artificial lighting during tunnel construction significantly increases worker fatigue. This research identified an illuminance range of 75–100 lx as the most comfortable range for mucking activities. Occasionally, the construction environment is complex, making it challenging to control the illuminance distribution uniformly. Therefore, this study further examines the attention distribution during the mucking processes, identifying key lighting points as the upper and lower edges of the bucket, debris being moved, and expected stacking area. Furthermore, the results of this study address the discrepancies in previous guidelines on illumination levels and propose different illumination ranges tailored to specific construction areas. Worldwide construction teams can determine the appropriate level of illumination within these ranges by considering the composition of the workforce, environmental factors, and policy requirements. These findings can help enhance worker comfort and improve construction safety, ultimately ensuring productivity and efficiency. [ABSTRACT FROM AUTHOR]

Given the close connection between eye movement and frontal lobe functions and some evidence supporting the effect of eye‐tracking training on enhancing cognitive performance mediated by the frontal lobe, this study aimed to explore if after‐school eye‐tracking training can improve the visuospatial working memory (VSWM) and cognitive flexibility performance in children with attention‐deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD). This study is a non‐randomized cluster trial. Forty children from eight primary schools were selected, half receiving eye‐tracking training for 20 sessions over 9 months, while the other half served as a waitlist control. They were matched on demographic characteristics and baseline cognitive performance. Their VSWM and cognitive flexibility were assessed at the beginning and end of the study. Results showed that children who received eye‐tracking training, but not those on a waitlist, exhibited significant improvements in the total score and working memory span of the VSWM tests, and the correct responses in cognitive flexibility tests. Specifically, VSWM performance at higher span levels (5 or above) yielded a greater improvement. The findings suggest that eye‐tracking training can be a feasible and effective after‐school program for improving working memory and cognitive flexibility performance in children with ADHD and ASD. This study was prospectively registered at ClinicalTrials.gov (https://clinicaltrials.gov/, trial number: NCT05428657). Lay Summary: Research studies have shown that using eye‐tracking technology to train the brain can improve cognitive performance of different brain disorders. In this study, we discovered that children with attention‐deficit/hyperactivity disorder (ADHD) and autism improved their ability to remember visual information and became better at thinking flexibly after participating in 20 sessions of eye‐tracking training. This suggests that eye‐tracking training has the potential to help children with ADHD and autism improve their memory and thinking skills. [ABSTRACT FROM AUTHOR]

Featured Application: The Trail Making Test in Virtual Reality (TMT-VR) provides a highly adaptable and immersive tool for cognitive and neuropsychological assessments. Its application extends beyond traditional clinical settings, offering potential use in remote assessments, telemedicine, and longitudinal studies that require repeated measures. The fully automated, randomized, and naturalistic environment of the TMT-VR ensures precise and consistent evaluation across diverse populations, making it particularly useful for assessing cognitive functions in older adults, individuals with neurological conditions, and populations with limited technological exposure. Additionally, the TMT-VR could serve as a valuable tool in cognitive rehabilitation programs, where immersive and engaging tasks are crucial for patient motivation and adherence. However, validation studies are required for scrutinizing its utility in older adults, clinical populations, and settings. Virtual Reality (VR) is increasingly used in neuropsychological assessments due to its ability to simulate real-world environments. This study aimed to develop and evaluate the Trail Making Test in VR (TMT-VR) and investigate the effects of different interaction modes and gaming skills on cognitive performance. A total of 71 young female and male adults (aged 18–35) with high and low gaming skills participated in this study. Participants completed the TMT-VR using three interaction modes as follows: eye-tracking, head movement, and controller. Performance metrics included task completion time and accuracy. User experience, usability, and acceptability of TMT-VR were also examined. Results showed that both eye tracking and head movement modes significantly outperformed the controller in terms of task completion time and accuracy. No significant differences were found between eye tracking and head movement modes. Gaming skills did not significantly influence task performance using any interaction mode. The TMT-VR demonstrates high usability, acceptability, and user experience among participants. The findings suggest that VR-based assessments can effectively measure cognitive performance without being influenced by prior gaming skills, indicating potential applicability for diverse populations. [ABSTRACT FROM AUTHOR]

Many companies are using smart packaging to provide consumers with more information about their products. The goal of our case study is to access the Near Field Communication (NFC) tag knowledge, as well as getting insights into tag positioning in food package design for better visibility in order to develop some guidelines for future tag implementations. A preliminary survey of professionals provided an overview of NFC tag usage, followed by an online survey that assessed knowledge and visibility of tag placements. These findings were further discussed in focus groups and measured using eye-tracking technology. For placement visibility assessments, well-known and fictitious packaging designs of milk were used. The results show that, due to the NFC tag's low market penetration, consumer recognition is low, with only generations Y and Z being familiar with the NFC tag. Knowledge of the NFC tag does not significantly vary based on education level. When considering the use of NFC tags, it is crucial to define and understand the target market. If the target is younger generations, the potential to increase engagement with the product can be achieved. Additionally, to boost consumer interaction, NFC tags or other smart elements should include an activation prompt, positioned on the central right section of the packaging and distinguished by a distinct color. The influence of the design on tag visibility is essential to ensure its effectiveness. [ABSTRACT FROM AUTHOR]

This paper presents a novel approach to predicting shot accuracy in badminton by analyzing Quiet Eye (QE) metrics such as QE duration, fixation points, and gaze dynamics. We develop a neural network model that combines visual data from eye-tracking devices with biomechanical data such as body posture and shuttlecock trajectory. Our model is designed to predict shot accuracy, providing insights into the role of QE in performance. The study involved 30 badminton players of varying skill levels from the Chinese Swimming Club in Singapore. Using a combination of eye-tracking technology and motion capture systems, we collected data on QE metrics and biomechanical factors during a series of badminton shots for a total of 750. Key results include: (1) The neural network model achieved 85% accuracy in predicting shot outcomes, demonstrating the potential of integrating QE metrics with biomechanical data. (2) QE duration and onset were identified as the most significant predictors of shot accuracy, followed by racket speed and wrist angle at impact. (3) Elite players exhibited significantly longer QE durations (M = 289.5 ms) compared to intermediate (M = 213.7 ms) and novice players (M = 168.3 ms). (4) A strong positive correlation (r = 0.72) was found between QE duration and shot accuracy across all skill levels. These findings have important implications for badminton training and performance evaluation. The study suggests that QE-based training programs could significantly enhance players' shot accuracy. Furthermore, the predictive model developed in this study offers a framework for real-time performance analysis and personalized training regimens in badminton. By bridging cognitive neuroscience and sports performance through advanced data analytics, this research paves the way for more sophisticated, individualized training approaches in badminton and potentially other fast-paced sports. Future research directions include exploring the temporal dynamics of QE during matches and developing real-time feedback systems based on QE metrics. [ABSTRACT FROM AUTHOR]

Augmented Reality Head-Up Displays (AR-HUDs) enhance driver perception and safety, yet optimal hazard warning design remains unclear. This study examines three AR-HUD crash warning icon types (BD, BR, BW) across various turning scenarios. Using a 360-degree video-based driving simulation with 36 participants, eye-tracking metrics were collected. Results show BW icons, dynamically linked to hazards, significantly improve drivers' pedestrian risk awareness and visual attention allocation compared to BD and BR systems. BW consistently demonstrated longer gaze duration, higher fixation counts, and shorter time to first fixation across all turns. BD and BR icons were more susceptible to lane changes, potentially diverting attention from hazards. Findings suggest prioritizing dynamic tracking warning icons over fixed-position alternatives to minimize visual competition and distraction, providing crucial insights for AR-HUD optimization in automated vehicles. [ABSTRACT FROM AUTHOR]

Understanding the complex and dynamic nature of experiences requires the use of proper measurement tools. As interest grows in the objective measurement of experiences within tourism and hospitality, there is an urgent need to consolidate and synthesize these studies. Thus, this study investigated prevalent objective measurement techniques via a systematic review. We analyzed physiological measures such as electroencephalography (EEG), heart rate variability (HRV), skin conductance (SC), and facial electromyography (fEMG) along with behavioral measures, including eye tracking and location tracking. This review identified 100 empirical studies that employed objective measurement to examine tourism and hospitality experiences over the last decade, highlighting trends, research contexts and designs, and the synergies between different methods. Our discussion on methodological issues and best practices will help researchers and practitioners identify the best tools to capture people's experiences and promote more standardized practices and comparable findings on studying experiences in tourism and hospitality settings. [ABSTRACT FROM AUTHOR]

This study explored the facial impressions of attractiveness, dominance and sexual dimorphism using experimental and computational methods. In Study 1, we generated face images with manipulated morphological features using geometric morphometrics. In Study 2, we conducted eye tracking and impression evaluation experiments using these images to examine how facial features influence impression evaluations and explored differences based on the sex of the face images and participants. In Study 3, we employed deep learning methods, specifically using gradient‐weighted class activation mapping (Grad‐CAM), an explainable artificial intelligence (AI) technique, to extract important features for each impression using the face images and impression evaluation results from Studies 1 and 2. The findings revealed that eye‐tracking and deep learning use different features as cues. In the eye‐tracking experiments, attention was focused on features such as the eyes, nose and mouth, whereas the deep learning analysis highlighted broader features, including eyebrows and superciliary arches. The computational approach using explainable AI suggests that the determinants of facial impressions can be extracted independently of visual attention. [ABSTRACT FROM AUTHOR]

Attention in social interactions is directed by social cues such as the face or eye region of an interaction partner. Several factors that influence these attentional biases have been identified in the past. However, most findings are based on paradigms with static stimuli and no interaction potential. Therefore, the current study investigated the influence of one of these factors, namely facial affect in natural social interactions using an evaluated eye-tracking setup. In a sample of 35 female participants, we examined how individuals' gaze behavior responds to changes in the facial affect of an interaction partner trained in affectmodulation. Our goal was to analyze the effects on attention to facial features and to investigate their temporal dynamics in a natural social interaction. The study results, obtained fromboth aggregated and dynamic analyses, indicate that facial affect has only subtle influences on gaze behavior during social interactions. In a sample with high measurement precision, these findings highlight the difficulties of capturing the subtleties of social attention in more naturalistic settings. The methodology used in this study serves as a foundation for future research on social attention differences in more ecologically valid scenarios. [ABSTRACT FROM AUTHOR]

This study utilized eye-tracking techniques to investigate decision-making behavior in intertemporal loss scenarios under both time pressure and no time pressure conditions. Results revealed shorter decision-making times and decreased large later (LL) option selection frequency under time pressure. Participants under time pressure exhibited reduced Mean Fixation Duration (MFD) and Search Measure (SM) values, indicating altered information processing. Mediation analyses confirmed that task choice outcomes were influenced by SM and MFD, suggesting a shift towards heuristic decision-making under time pressure. [ABSTRACT FROM AUTHOR]

Empathy, a cornerstone of social interaction, involves shared representation, eliciting vicarious emotions. However, its influence on shared perceptual representations, particularly in foundational domains such as distance perception, remains unexplored. In this study, we introduce a novel adaptation of the empathy for pain task to investigate empathy's influence on distance perception. We also examine how two personality traits, trait empathy and alexithymia, modulate this relationship. Utilizing eye-tracking technology, we examine how attention allocation to different facial and bodily features affects empathy's impact on distance perception. Our findings indicate that empathy biases individuals to perceive targets as closer, with trait empathy reinforcing this effect and alexithymia attenuating it. Furthermore, we demonstrate that heightened attention to eyes and face correlates with perceiving targets as closer, while attention to hand shows the opposite trend. These results underscore the broader influence of empathy beyond shared emotions, revealing its capacity to alter perceptual processes. By elucidating the interplay between personality traits and visual inputs in shaping these alterations, our study offers valuable insights for future research exploring the role of shared representation in empathy across various perceptual domains. [ABSTRACT FROM AUTHOR]

Mini-map as a world map in miniature format is often used as the most important cartographic element to facilitate the navigation and orientation of users in virtual geographical space. It provides detailed information about the position, orientation, nearby objects or terrain around the user in a compact and comprehensive way. The authors of this article wanted to find out whether the mini-map helps users with different levels of knowledge about the game to understand and interpret spatial situations that occur when playing in the virtual geographical space. The study was conducted in the form of an offline survey that required respondents to watch five short videos depicting different spatial situations during the League of Legends game. The 60 respondents were divided into 3 different groups whose responses were analyzed using statistical tests and mini-map heatmap eye-tracking analysis. The results of the study confirm that there is a correlation between the mini-map and the correctness of the interpretation of spatial situations in the game in all groups investigated. Previous gaming experiences were found to reduce the need to use a mini-map to interpret spatial situations, proving that video games provide players with comprehensive information about various events on the user interface. [ABSTRACT FROM AUTHOR]

AbstractIndividuals with color vision deficiency (CVD) face many difficulties and limitations in their daily lives and professional activities, some of which may prove life-threatening. These negative factors necessitate the development of methods for the identification and classification of CVD. Because CVD is a vision impairment, it is crucial to determine if its presence can be predicted with eye behavior. An experiment was conducted using a driving simulator and eye-tracking glasses. The experiment included 27 people with CVD (12 with deuteranopia, 9 with deuteranomaly, 3 with protanopia, and 3 with protanomaly) and 10 people with normal color vision. Each participant performed multiple driving attempts with color-coded guidelines on the navigator to assess visual search ability. Based on data recorded by an eye tracker, the following three types of cross-validated models were developed: binary classification (presence and absence of CVD), a three-class model to recognize the absence of CVD, protanopia, and deuteranopia, and a five-class model to predict the absence of CVD, deuteranopia, deuteranomaly, protanopia, and protanomaly. These three models yielded respective accuracy levels of over 95%, 66%–78%, and 43%–52%. Overall, it was found that eye-tracking metrics have the potential to classify and predict CVD. [ABSTRACT FROM AUTHOR]

This study tested whether encouraging prediction enhances prediction in second language (L2) speakers. L2 English speakers listened to English sentences like The woman … will read/buy one of the newspapers while viewing the target (a newspaper) and distractor objects (a rose, a bowl, and a mango) on a screen and clicked on the target as quickly as possible. The target was predictable (read) or unpredictable (buy) from the verb meaning. Participants looked at the target longer and were quicker to move the mouse to it when instructed to predict sentence continuation than when they were merely instructed to comprehend sentences. This result held true both when the target was predictable and unpredictable. Furthermore, only when instructed to predict did the participants make more clicking errors when the target was unpredictable than predictable, which suggested that encouraging prediction can interfere with word recognition accuracy in unpredictable contexts due to reduced cognitive resources or failed predictions. [ABSTRACT FROM AUTHOR]

Multimodal data enables us to capture the cognitive and affective states of students to provide a holistic understanding of learning processes in a wide variety of contexts. With the use of sensing technology, we can capture learners' states in near real-time and support learning. Moreover, multimodal data allows us to obtain early predictions of learning performance, and support learning in a timely manner. In this contribution, we utilise the notion of ‘carry forward effect’, an inferential and predictive modelling approach that utilises multimodal data measurements detrimental to learning performance to provide timely feedback suggestions. Carry forward effect can provide a way to prioritise conflicting feedback suggestions in a multimodal data-based scaffolding tool. We showcase the empirical proof of the carry forward effect with the use of three different learning scenarios: game-based learning, individual debugging, and collaborative debugging. [ABSTRACT FROM AUTHOR]

Human-machine co-driving presents a significant hurdle in automated driving system. The takeover process in automated driving system involves complex human factors, failure to takeover the vehicle and control driving behavior during the takeover process may lead to severe traffic safety hazards. An augmented reality head-up display (AR-HUD) takeover assistance information can provide real-time assistance information to the driving environment, enhancing drivers' situation awareness (SA) and takeover decisions in highly automated driving system. This study investigated the impact of different AR-HUD types of takeover assistance information display. Three AR-HUD types, corresponding to the three pre-takeover behavioral processes (perception, understanding, and prediction), were evaluated: PSR (assistance in perceiving the source of risk), AS (assistance in analyzing situations), and MD (assistance in making decisions). The baseline (without assistance information) was used as the control group. In a driving simulation experiment using 360° panoramic video, seventy-nine participants performed SA assessment and visual tracking tasks. Questionnaire and eye-tracking data indicated that the type of AR-HUD displayed positively influenced drivers' SA and takeover decisions, with AS being the most effective in enhancing SA and improving takeover performance. Additionally, this study compared the differences between the three types of AR-HUD and the baseline under two takeover request lead times (TORlt) of 5 seconds and 7 seconds. It was found that drivers' SA was lower when TORlt was shorter (with the corresponding AR-HUD display also being shorter). This study provides insight concerning the impact of various types of AR-HUD takeover assistance information display and TORlt on driving safety. The findings support the further optimization of AR-HUD takeover assistance information design. [ABSTRACT FROM AUTHOR]

This study investigated how repeating a video‐lecture‐based task affects second language (L2) learners’ processing and incidental acquisition of technical vocabulary as well as the relationship between processing and lexical gains. The participants were 75 Chinese learners of L2 English. Thirty participants performed the task once (control group), whereas another 30 participants did the same task three times (repetition group). The two groups then completed unannounced vocabulary posttests. The remaining participants engaged in stimulated recall after performing the task once, twice, or three times. The repetition group made greater gains in vocabulary knowledge than the control group, and the repetition group's visual attention to the target words declined during repeated viewing. The amount of attention to the target words emerged as a predictor of delayed meaning recall, with task repetition decreasing the strength of this relationship. Stimulated‐recall participants repeating the task reported increased awareness of specific aspects of the target words. [ABSTRACT FROM AUTHOR]

Attachment orientation has been reported to influence visual attention and cognitive decisions regarding facial expressions. However, previous studies have reported mixed results regarding the effects of attachment orientation. This study aims to examine how attachment anxiety and avoidance affect judgment and attention allocation during free viewing of dynamic facial expressions. Although we did not find any association between attachment orientation and the reaction time to judge the timings of changes in facial expressions, the relationship between attachment orientation and attention was found. When viewing the appearance of anger, attachment avoidance had a positive relationship and attachment anxiety had a negative relationship with looking time to the eye area. When the eye‐tracking data were divided into 12 consecutive intervals of 1 s each, the attachment orientation had different relationships with visual attention based on the type of emotion presented. We discuss possible explanations for these results and directions for further research in cross‐cultural contexts. [ABSTRACT FROM AUTHOR]

Background: Aesthetic enhancements to the buttock region have grown in demand due to media influence and evolving beauty standards. Using eye-tracking technology, we sought to uncover subconscious visual preferences regarding the buttock aesthetic. The objective of this investigation was to assess visual gaze patterns in assessing female buttocks among Caucasian and Asians through eye-tracking technology. Materials and Methods: 67 participants viewed photographs of buttocks from various angles, and eye movements were analyzed using the Tobii Pro Nano eye-tracker. Results: Males fixated on the intergluteal cleft for 0.96 ± 1.1 s and the thigh gap for 0.07 ± 0.2 s; while, females fixated for 0.81 ± 0.9 s and 0.06 ± 0.2 s on the same regions, respectively. Significant gender differences were observed in the intergluteal cleft (p = 0.002) and upper lateral buttock (p < 0.001). Conclusion: This study offers new insights into the observation of buttocks. The consistent attention toward the intergluteal cleft across demographics could be of potential significance in the aesthetic perception of buttocks. However, diverse gaze patterns also underscore the multifaceted nature of human attraction. These findings hold implications for plastic surgery, aesthetic medicine, and the sociocultural understanding of beauty. A deeper dive into aesthetic preferences is pivotal for a holistic understanding of human perceptions of attractive buttocks. Level of Evidence III: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to Table of Contents or the online instructions to Authors www.springer.com/00266. [ABSTRACT FROM AUTHOR]

Data augmentation is commonly utilized to increase the size and diversity of training sets for deep learning tasks. In this study, we propose a novel application of an existing image generation approach in the domain of realistic eye images that leverages data collected from 40 subjects. This hybrid method combines the benefits of precise control over the image content provided by 3D rendering, while introducing the previously lacking photorealism and diversity into synthetic images through neural style transfer. We prove its general efficacy as a data augmentation tool for appearance-based gaze estimation when generated data are mixed with a sparse train set of real images. It improved the results for 39 out of 40 subjects, with an 11.22 % mean and a 19.75 % maximum decrease in gaze estimation error, achieving similar metrics for train and held-out subjects. We release our data repository of eye images with gaze labels used in this work for public access. [ABSTRACT FROM AUTHOR]

Abstract\nIMPLICATIONS FOR REHABILITATIONThis study aimed to explore the effects of a four-week intensive eye-tracking intervention on children with dyskinetic cerebral palsy (DCP), focusing on goal attainment, communication competencies, stress levels, subjective workload, and caregivers’ perception of psychosocial impact. A multiple case study design with non-concurrent, staggered multiple baselines was employed, involving three children aged 7, 12, and 13 years. The study included a randomized baseline period of two or three weeks, an intensive eye-tracking intervention, and a six-month follow-up. Two individual eye-tracking goals were identified and assessed using the Goal Attainment Scale, while communication competencies were evaluated with the Augmentative and Alternative Communication Profile: A Continuum of Learning. Stress levels were monitored through Heart Rate Variability measured by the Bittium Faros 360° ECG Holter during eye-tracking tasks. Subjective workload and psychosocial impact were assessed using pictograms and the Psychosocial Impact of Assistive Devices Scale, respectively. Descriptive statistics were applied for analysis. All participants attained and retained their eye-tracking goals, regardless of their initial functional profiles or prior experience with eye-tracking technology. Post-intervention improvements in communication competencies were maintained at the six-month follow-up. Variations in stress levels, subjective workload, and psychosocial impact were observed among participants across different phases of the study, aiding the interpretation of the results. The study concludes that a structured, tailored, four-week intensive eye-tracking intervention can yield successful results in children with DCP, irrespective of their baseline communication abilities or functional profile. Recommendations for future research, including more robust methodologies and reliable computerized tests, are provided.A four-week intensive and structured eye-tracking intervention in children with dyskinetic cerebral palsy appears feasible and may lead to the acquisition and retention of meaningful eye-tracking goals, regardless of functional profile or prior eye-tracking experience.Objective measurement of baseline communication competencies could assist the clinical practice in identifying areas of difficulty, thereby facilitating a tailored goal-setting and goal-attainment approach.Cognition, effort, and motivation may influence intervention outcomes and should be strongly considered in future studies with more robust methodology.Reliable computerized versions of pen-paper assessments with eye-tracking as a response modality are needed to enable a better understanding of skill-acquisition processes in the goal group.A four-week intensive and structured eye-tracking intervention in children with dyskinetic cerebral palsy appears feasible and may lead to the acquisition and retention of meaningful eye-tracking goals, regardless of functional profile or prior eye-tracking experience.Objective measurement of baseline communication competencies could assist the clinical practice in identifying areas of difficulty, thereby facilitating a tailored goal-setting and goal-attainment approach.Cognition, effort, and motivation may influence intervention outcomes and should be strongly considered in future studies with more robust methodology.Reliable computerized versions of pen-paper assessments with eye-tracking as a response modality are needed to enable a better understanding of skill-acquisition processes in the goal group. [ABSTRACT FROM AUTHOR]

Children with high Callous-Unemotional (CU) traits show deficits in recognizing and processing facial expressions. Alterations in emotion recognition have been linked to a higher synaptic concentration of monoaminergic neurotransmitters. The current study investigated the relationship between the MAOA-Low-activity alleles and the ability to recognize and process facial expressions in 97 male children (8–12 years old) diagnosed with disruptive behavior disorder. Participants completed a computerized emotion-recognition task while an eye-tracking system recorded the number (Fixation Count, FC) and length (Fixation Duration, FD) of fixations to the eye region of the emotional stimuli. Children with high CU traits exhibited lower scores in recognition of sadness and anger, and lower FC and FD for sadness and fear than children with low CU traits. Children carrying the MAOA-Low-activity alleles displayed lower FD for sadness, and FD and FC for fear than those carrying the MAOA-High-activity alleles. These genetic effects appeared even stronger in children with CU traits. Moderation analysis revealed that CU traits were associated with lower FC and FD for fear, and lower FD for sadness, probably due to the MAOA-Low-activity alleles. Our findings, although to be replicated, suggest MAOA-Low-activity alleles as potential genetic biomarkers to identify CU children in need of training focused on emotion processing. [ABSTRACT FROM AUTHOR]

Coaches often use pointing gestures alongside their speech to reinforce their message and emphasize important concepts during instructional communications, but the impact of simultaneous pointing gestures and speech on learners' recall remains unclear. We used eye-tracking and recalled performance to investigate the impact of a coach's variously timed pointing gestures and speech on two groups of learners' (novices and experts) visual attention and recall of tactical instructions. Participants were 96 basketball players (48 novice and 48 expert) who attempted to recall instructions about the evolution of a basketball game system under two teaching conditions: speech accompanied by gestures and speech followed by gestures. Overall, the results showed that novice players benefited more from instructional speech accompanied by gestures than from speech followed by gestures alone. This was evidenced by their greater visual attention to the diagrams, demonstrated through a higher fixation count and decreased saccadic shifts between the coach and the diagrams. Additionally, they exhibited improved recall and experienced reduced mental effort, despite having the same fixation time on the diagrams and equivalent recall time. Conversely, experts benefited more from instructional speech followed by gestures, indicating an expertise reversal effect. These results suggest that coaches and educators may improve their tactical instructions by timing the pairing of their hand gestures and speech in relation to the learner's level of expertise. [ABSTRACT FROM AUTHOR]

Research on second language (L2) pronoun use in null-argument languages has traditionally focused on whether or not a speaker's first language (L1) also allows null pronouns. However, recent studies have pointed out that it is equally important to consider the specific linguistic properties of overt pronouns in the L1 and L2, which may differ even across two null-argument languages. This study investigates the interpretation and processing of overt pronouns in Japanese by speakers whose L1 (English) and L2 (Japanese) differ not only in whether they allow null arguments, but also in the relative involvement of structural and pragmatic constraints on overt pronoun interpretation. This combination of languages is particularly interesting because English and Japanese overt third-person subject pronouns can be considered at extreme ends of a spectrum: in English they are largely structurally constrained and show a consistent preference for a local subject antecedent, while in Japanese they are loosely constrained by pragmatic factors and show no consistent interpretation preference. Both interpretation and eye-tracking data is recorded, with results suggesting that the unique nature of overt pronouns in Japanese, including their rarity in the input, leads to partial knowledge of them on the lexical level rather than implicating the larger syntactic system or syntax–pragmatics interface. [ABSTRACT FROM AUTHOR]

During spoken word processing, native (L1) listeners use allophonic variation to predictively rule out word competitors and speed up word recognition. There is some evidence that second language (L2) learners develop an awareness of allophonic distributions in their L2, but whether they use their knowledge to facilitate word recognition online, like native listeners do, is largely unknown. In an offline gating experiment and an online eye-tracking experiment in the visual world paradigm, we compare advanced French learners of English and a control group of L1 English listeners on their processing of English vowel nasalization during spoken word recognition. In the gating task, the French listeners' performance did not differ from that of the English ones. The eye-tracking results show that French listeners used the allophonic distribution in the same way as English listeners, although they were not as fast. Together, these results reveal that L2 learners can develop novel processing strategies using sounds in allophonic distribution to facilitate spoken word recognition. [ABSTRACT FROM AUTHOR]

Objective: To determine, the impact of long COVID-19 on oculomotor behaviour. Design: A case–control study. Setting: Spanish Association of Persistent COVID. Participant: Participants were 75 cases (64 women, 11 men, mean age 46.4 years ±8.9) and 42 controls (22 women, 20 men, mean age 53.5 years ±13.13). Intervention: An eye-tracking test based on visual search paradigm and the Adult Developmental Eye Movement Test were used to evaluate the participants. Main measures: The primary outcomes in the Adult Developmental Eye Movement Test were horizontal reading time, vertical reading time, and their ratio. And for the eye-tracking test the time to find the target, the duration, and the number of eye fixations. Results: In cases and controls, eye movement test results were horizontal(Hadj) reading time 74.2 ± 22.7 s vs 52.0 ± 6.1 s (p <.0001); vertical(Vadj) reading time 67.6 ± 17.8 s vs 50.4 ± 6.9 s (p <.0001); Hadj/Vadj ratio 0.9 ± 0.1 vs 1.0 ± 0 (p =.0032), respectively; and eye-tracking test results were fixation number 11.3 ± 3.07 vs 3.51 ± 2.57 (p <.0001); fixation duration 2.01 ± 0.79 s vs 1.5 ± 0.4 s (p =.0013), and time to find target 24.5 ± 8.0 vs 18 ± 9.4 (p =.0034), respectively. Conclusions: Data showed a lower performance in oculomotor behaviour in people with long COVID-19, compared to healthy individuals. It cannot be affirmed an ocular musculature dysfunction; the differentiated behaviour could be associated to cognitive alterations affected in these people. Both tests used could be an useful tool for the clinical assessment of these participants. Further studies are needed to explore the utility of these procedures. [ABSTRACT FROM AUTHOR]

During the COVID‐19, robots were increasingly utilized in the food service industry. This study compared perceptions of robot and human baristas by tracking participants' eye‐gaze behavior. Seventy participants viewed videos and images of both baristas, and their eye movements were tracked. Metrics such as entry time, dwell time, total fixation, hit ratio, revisits, revisitors, average fixation, first fixation, and fixation count in defined areas of interest (AOIs) were measured. Participants focused mostly on robot's body during coffee preparation and human barista's face. Attention stayed on the coffee with human baristas, while robot stimuli drew focus to the robot's hand and kettle. Participants fixated more on the robot itself, potentially due to its novelty in coffee preparation. This study can provide directions for the development of robots, including their appearance, so that they could be accepted familiarly by consumers and introduced seamlessly in the food industries. [ABSTRACT FROM AUTHOR]