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Impairments in social cognition, in particular empathy, have been associated with childhood psychopathology, though previous investigations have yielded inconsistent results. Measures of social attention can reveal processes involved in responses to emotional stimuli and highlight deficits in empathy, or emotional biases in those with anxiety. The current study examined symptoms of anxiety, cognitive and affective empathy scores, and eye-gaze patterns in a pediatric sample of children (n = 178; 51-98 months-old) referred by their teachers for emerging psychopathology symptoms at school. We used eye-tracking metrics to capture gaze patterns during a dynamic video task designed to elicit empathic responses. Anxiety symptomology was reported by parents using the Screen for Child Anxiety Related Disorders scale (SCARED). Associations between eye-tracking variables, cognitive and affective empathy, and anxiety scores were analysed dimensionally in accordance with the Research and Domain Criteria (RDoC) framework. Higher levels of anxiety were associated with lower cognitive empathy and shorter first and total fixation durations to the eyes, across emotions (happiness, sadness, fear). No such associations were found between affective empathy and anxiety. Hierarchical multiple regression analyses revealed that across emotion conditions, first fixation duration negatively predicted anxiety scores. Our results indicate that children high in anxiety display cognitive empathy impairments and shorter attention to the eyes. These findings could inform early intervention programs for individuals at risk of developing anxiety disorders, as educating those high in anxiety on ways to identify emotions in others through changes in social attention could help to reduce anxiety.

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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.

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The present study examined gender differences in attentional bias of body images. Using an experimental design, 58 young adults aged 18-29 years (Mage = 20.53) completed self-report measures of body satisfaction, eating pathology and trait appearance comparison before viewing whole body images of thin/muscular and large men/women through an eye tracker. After viewing the images, participants completed self-report measures of body satisfaction and state appearance comparison, BMI was also recorded. Results revealed that higher BMI was associated with reduced body satisfaction. Problematic eating attitudes were associated with greater engagement in appearance comparison, which was linked to lower levels of body satisfaction. Exposure to idealised body images negatively impacted individuals with lower body satisfaction leading to lower levels of body satisfaction post-experiment. Findings provide support for the positive association between body dissatisfaction and attentional bias to idealised bodies in both women and men in a Chinese context.

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This study introduces a groundbreaking method to enhance the accuracy and reliability of emotion recognition systems by combining electrocardiogram (ECG) with electroencephalogram (EEG) data, using an eye-tracking gated strategy. Initially, we propose a technique to filter out irrelevant portions of emotional data by employing pupil diameter metrics from eye-tracking data. Subsequently, we introduce an innovative approach for estimating effective connectivity to capture the dynamic interaction between the brain and the heart during emotional states of happiness and sadness. Granger causality (GC) is estimated and utilized to optimize input for a highly effective pre-trained convolutional neural network (CNN), specifically ResNet-18. To assess this methodology, we employed EEG and ECG data from the publicly available MAHNOB-HCI database, using a 5-fold cross-validation approach. Our method achieved an impressive average accuracy and area under the curve (AUC) of 91.00 % and 0.97, respectively, for GC-EEG-ECG images processed with ResNet-18. Comparative analysis with state-of-the-art studies clearly shows that augmenting ECG with EEG and refining data with an eye-tracking strategy significantly enhances emotion recognition performance across various emotions.

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According to the Relational Developmental Systems perspective, the development of individual differences in spatial thinking (e.g., mental rotation, spatial reorientation, and spatial language) are attributed to various psychological (e.g., children's cognitive strategies), biological (e.g., structure and function of hippocampus), and cultural systems (e.g., caregiver spatial language input). Yet, measuring the development of individual differences in spatial thinking in young children, as well as the psychological, biological, and cultural systems that influence the development of these abilities, presents unique challenges. The current paper outlines ways to harness available technology including eye-tracking, eye-blink conditioning, MRI, Zoom, and LENA technology, to study the development of individual differences in young children's spatial thinking. The technologies discussed offer ways to examine children's spatial thinking development from different levels of analyses (i.e., psychological, biological, cultural), thereby allowing us to advance the study of developmental theory. We conclude with a discussion of the use of artificial intelligence.

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Here we propose a not pupil-dependent microsaccades tracking technique and a novel detection method. We present a proof of concept for detecting microsaccades using a non-contact laser-based photonic system recording and processing the temporal changes of speckle patterns scattered from an eye sclera. The data, simultaneously recorded by the speckle-based tracker (SBT) and the video-based eye tracker (Eyelink), was analyzed by the frequently used detection method of Engbert and Kliegl (E&K) and by advanced machine learning detection (MLD) techniques. We detected 93% of microsaccades in the SBT data out of microsaccades detected in the Eyelink data with the E&K method. By utilizing MLD, a precision of 86% was achieved. The findings of our study demonstrate a potential improvement in measuring tiny eye movements, such as microsaccades, using speckle-based eye tracking and, thus, an alternative to video-based eye tracking for detecting microsaccades.

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Online apparel retail imagery is a prominent threat to women's body image, particularly segments such as activewear which emphasize the value of women's bodies. In a within-subjects experiment, we exposed women (N = 128) to imagery randomly selected from activewear, casualwear and homewares websites and measured their gaze behavior, physiological arousal, as well as subjective emotional states and body image ratings. Exposure to activewear retail imagery elicited significantly lower body image ratings, a higher negative emotional state, and a lower positive emotional state compared to the other website imagery conditions. Physiological arousal was significantly higher for both apparel imagery conditions compared to the homewares imagery condition. Body biased gaze behavior was significantly higher for the activewear imagery condition compared to the casualwear imagery condition. Notably, body shame moderated the self-reported but not the physiological experimental effects, such that women with higher body shame experienced stronger adverse changes in their body image and emotional state ratings following activewear exposure. Correlations revealed that self-reported experimental responses to activewear imagery were strongly associated with self-objectification, appearance comparison, disordered eating and body image coping attitudes. Thus, exposure to popular apparel may play a role in maintaining maladaptive body image attitudes and behaviors in women.

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Introduction: Personality plays a crucial role in shaping an individual's interactions with the world. The Big Five personality traits are widely used frameworks that help describe people's psychological behaviours. These traits predict how individuals behave within an organizational setting. Methods: In this article, we introduce a virtual reality (VR) strategy for relatively scoring an individual's personality to evaluate the feasibility of predicting personality traits from implicit measures captured from users interacting in VR simulations of different organizational situations. Specifically, eye-tracking and decision-making patterns were used to classify individuals according to their level in each of the Big Five dimensions using statistical machine learning (ML) methods. The virtual environment was designed using an evidence-centered design approach. Results: The dimensions were assessed using NEO-FFI inventory. A random forest ML model provided 83% accuracy in predicting agreeableness. A k-nearest neighbour ML model provided 75%, 75%, and 77% accuracy in predicting openness, neuroticism, and conscientiousness, respectively. A support vector machine model provided 85% accuracy for predicting extraversion. These analyses indicated that the dimensions could be differentiated by eye-gaze patterns and behaviours during immersive VR. Discussion: Eye-tracking measures contributed more significantly to this differentiation than the behavioural metrics. Currently, we have obtained promising results with our group of participants, but to ensure the robustness and generalizability of our findings, it is imperative to replicate the study with a considerably larger sample. This study demonstrates the potential of VR and ML to recognize personality traits.

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Background and objective: Timely and accurate detection of Autism Spectrum Disorder (ASD) is essential for early intervention and improved patient outcomes. This study aims to harness the power of machine learning (ML) techniques to improve ASD detection by incorporating temporal eye-tracking data. We developed a novel ML model to leverage eye scan paths, sequences of distances of eye movement, and a sequence of fixation durations, enhancing the temporal aspect of the analysis for more effective ASD identification. Methods: We utilized a dataset of eye-tracking data without augmentation to train our ML model, which consists of a CNN-GRU-ANN architecture. The model was trained using gaze maps, the sequences of distances between eye fixations, and durations of fixations and saccades. Additionally, we employed a validation dataset to assess the model's performance and compare it with other works. Results: Our ML model demonstrated superior performance in ASD detection compared to the VGG-16 model. By incorporating temporal information from eye-tracking data, our model achieved higher accuracy, precision, and recall. The novel addition of sequence-based features allowed our model to effectively distinguish between ASD and typically developing individuals, achieving an impressive precision value of 93.10% on the validation dataset. Conclusion: This study presents an ML-based approach to ASD detection by utilizing machine learning techniques and incorporating temporal eye-tracking data. Our findings highlight the potential of temporal analysis for improved ASD detection and provide a promising direction for further advancements in the field of eye-tracking-based diagnosis and intervention for neurodevelopmental disorders.

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INTRODUCTION: Non-combusted tobacco products, particularly those authorized as modified risk tobacco products (MRTPs), may appeal to young adults. This cross-sectional study explored young adults' attention to reduced exposure claims in IQOS advertising and its associations with product perceptions and use intentions. METHODS: Fifty-one young adults aged 21-29 (mean age = 24.5 years old, 54.9% who smoked cigarettes, 47.1% male, 66.7% White) viewed an IQOS advertisement containing two reduced exposure claims (one large, one detailed) for 20 seconds during eye-tracking, then completed post-exposure questionnaires (risk beliefs, harm perceptions, attitudes, use intentions). We compared attention and questionnaire measures by smoking status and examined associations between attention to reduced exposure claims and questionnaire measures. RESULTS: Overall, the large (vs. detailed) reduced exposure claim attracted young adults' attention more quickly, but the detailed claim held attention longer than all other advertisement features (p's < .001). There were no differences by smoking status in how quickly either claim attracted or held initial attention, but young adults who smoked (vs. did not smoke) spent more cumulative time looking at the large claim and less time looking at the detailed claim (p's < .05). Among those who smoked, greater dwell time on the detailed reduced exposure claim was associated with more beliefs about reduced harm, lower perceived risk of addiction, and greater intentions to try IQOS (p's <.05). CONCLUSIONS: Detailed information on reduced exposure in IQOS advertising may convey reduced risk and potentially promote uptake of IQOS among young adults who smoke and attend to this content. IMPLICATIONS: Findings from this exploratory, single-exposure study demonstrate differences in young adults' attention to reduced exposure claims in an IQOS advertisement based on their smoking status. Among those who smoke, greater attention to detailed reduced exposure information was associated with reduced perceptions of harm compared to cigarettes, and greater intentions to try IQOS. Findings suggest that among young adults who smoke cigarettes and visually engage with this content, detailed text containing IQOS' authorized reduced exposure claims is interpreted as reduced risk information and may promote uptake of this product.

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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.

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Perceiving emotions in others is at the foundation of higher-order social cognition. The importance of emotions is evidenced by the fact that they receive prioritized attention at early stages of processing the environment in humans and some other primates. Nevertheless, we do not fully understand how emotion modulates attention over longer durations in primates, particularly in great apes. Bonobos, one of our closest relatives, stand out in emotion processing and regulation among great apes. This makes them an interesting comparison species and a valuable model for studying the evolution of emotion perception in hominids. We investigated how bonobos and humans spontaneously attend to emotionally valent scenes in a preferential looking task using eye-tracking. With Bayesian mixed modelling, we found that bonobos and humans generally looked longer at emotional scenes, mainly of conspecifics. Moreover, while bonobos did not have a bias toward emotional human scenes, humans sustained their attention toward bonobos playing, grooming and having sex. Furthermore, when exploring an immediate bias for emotions, humans showed a bias toward affiliative human scenes, and bonobos showed a bias away from bonobos-in-distress scenes. These findings suggest that emotions modulate attention at early and later attentional stages in bonobos, similar to humans.

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Baby schema refers to physical features perceived as cute, known to trigger attention, induce positive emotions, and prompt social interactions. Given the reduced visual attention to social stimuli observed in individuals on the autism spectrum, the current study examines whether the sensitivity to baby schema is also affected. We expected that the looking time towards cute-featured stimuli would vary with symptom severity levels and would be associated with social affect. Ninety-four children (31 typically developing; 63 diagnosed with autism spectrum disorder - ASD) aged 20-83 months (M = 49.63, SD = 13.59) completed an eye-tracking visual exploration task. Autistic participants were separated into two groups based on symptom severity: children with high autism severity symptoms (HS ASD; N = 23) and low-moderate autism symptoms (LMS ASD; N = 40). Animals and neutral objects were simultaneously presented on the screen along with either human babies (condition 1) or adults (condition 2). The results indicated that visual attention oriented to cute-featured stimuli varied with autism symptom severity: only LMS and TD groups spend more time looking at cute-featured stimuli (babies; animals) than neutral objects. Moreover, children with higher severity in the social affect domain spent less time on the stimuli depicting cute than non-cute stimuli. These findings suggest that autism symptom severity and social skills are linked to variations in visual attention to cute stimuli. Implications of baby schema sensitivity are discussed in relation to the development of social competencies and play, responsiveness to robot-based interventions, as well as appraised relevance in autistic children.

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Wordless picture books enhance comprehension and vocabulary growth and motivate children with intellectual disabilities (ID) to participate in literary activities. However, the reception of picture books can be challenging because deliberate selective attention processes and recognition of the image's meaning are often delayed. Examining eye movements may help explore these cognitive processes. Therefore, we examined eye movements in 29 children with mild and moderate ID as they explored a wordless picture book, presented on a screen and compared them to 14 typically developing children using a Tobii Pro X3-120 eye tracker. The findings showed that children with moderate ID had shorter fixation duration, fixated less often, and revisited regions of interest less frequently. Our results suggest that children with moderate ID have greater difficulties in selectively directing their attention toward regions of visual input with a high level of informativeness and expend less cognitive effort to understand their meaning.

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BACKGROUND: Self-construal influences the way people ascribe blame to victims, but it is not clear whether the same applies to harm doers, especially those in a position of authority. PARTICIPANTS AND PROCEDURE: We examined (N = 122, men n = 60) participants' ascriptions of both blame and intentionality to harm doers (authority figure versus peer) while priming self-construal (relational versus individual self). Using eye-tracking, we explored whether priming relational self, compared to individual self, affects the allocation of attention to faces versus objects. RESULTS: Although no effects of priming were found, the type of harm doer influenced the way people interpreted harmful social encounters. Participants attributed both greater intentionality and blame to peer than authority perpetrators. Also, in the case of peer perpetrators, blame ascription was higher than judgements of intentionality, which was the opposite pattern for authority perpetrators, where judgements of intentionality were greater than ascribed blame. In regard to encoding, participants independently of the type of harm doer looked significantly longer at faces than at objects in violent scenes. CONCLUSIONS: Our results suggest the status of perpetrator influences judgements of harm independently of intrapersonal factors, such as primed self-construal. Moreover, people perceived as authority figures are not blamed for the hurtful action, despite attributed intentionality.

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Abnormal emotional responses in high-trait-anxious (HTA) individuals may be related to the use of emotion regulation strategies. Directed attention is a substrategy of attention deployment, which has been proven to be effective in regulating individual negative emotions. The present study investigated whether HTA women can effectively utilize directed attention to decrease negative emotions. Two studies were conducted using the same directed attention paradigm, with one focusing on event-related potentials (ERPs) and the other utilizing eye-tracking techniques. Participants viewed negative and neutral pictures and rated their negative emotions experienced during viewing. During directed attention, attention was directed towards highly arousing aspects, less arousing aspects of negative pictures, or less arousing aspects of neutral pictures. In study 1, late positive potentials (LPP) were recorded in 26 HTA and 24 low-trait-anxious (LTA) women. In study 2, the latency of first fixation, the proportion of gaze duration and fixations in the specific area were recorded in 27 HTA and 23 LTA women. Both the HTA and LTA groups revealed a decrease in negative emotional ratings and LPP amplitudes when their attention was directed towards the less arousing aspects of negative pictures. Furthermore, in this condition, the HTA group had a shorter latency of first fixation on highly arousing aspects and a higher proportion of gaze duration on less arousing aspects of negative pictures compared to the LTA group. These results indicate that when confronted with negative pictures, HTA women are able to regulate their emotional responses through directed attention, which may be accompanied by attentional vigilance and avoidance tendencies.

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BACKGROUND: Despite their apparent dissimilarity, Anorexia Nervosa (AN) and Autism Spectrum Disorder (ASD) share many features, especially in terms of social and emotional difficulties. In recent years, empathic abilities in AN have been frequently assessed using self-report measures. Otherwise, the director task (DT) has been used to investigate the ability to take the visual perspective of another individual in a communicative context, using eye-tracking technology. The aim of the current study was to test the presence of autism-relevant features in AN, through: (i) comparing self-reported autistic traits and empathic abilities in a group of young inpatients with AN and age/gender matched healthy controls (HC); (ii) comparing performance on the director paradigm. METHODS: The participants were females in the age-range between 11 and 18 years: 24 with AN and 23 HC. Autistic traits, empathic abilities, and severity of the eating disorder were respectively measured using: the Autism Quotient (AQ), the Interpersonal Reactivity Index (IRI), and the Eating Disorder Inventory-3 (EDI-3). Both groups performed a computerized task in which a director instructed them to move objects placed on a set of shelves using a mouse, while their eye gaze was tracked. A total of 36 shelf configurations, divided into three categories (with dimensional distractor - with spatial distractor - control), were created. RESULTS: Subjects with AN showed higher autistic traits than HC. Eye-tracking data revealed that subjects with AN took longer to decide which object to select and where to move it, both in distractor-trials and in control-trials. In the AN group, we found a significant negative correlation between the total score of the AQ and the number of fixations to the irrelevant object in the dimensional control condition -in which the subjects were asked to focus on dimensional aspects of the object (large-small)-. CONCLUSIONS: Autistic traits were over-represented in a group of young inpatients with AN. Through the use of eye-tracking technology, this exploratory study documented some differences between AN inpatients and HC in their online processes during the perspective taking tasks, which could be considered a target of tailored intervention. A larger sample of patients is needed to confirm these preliminary findings.

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Southgate et al.'s (Southgate 2007 Psychol. Sci. 18, 587-92 (doi:10.1111/j.1467-9280.2007.01944.x)) anticipatory-looking paradigm has presented exciting yet inconclusive evidence surrounding spontaneous mentalizing in autism. The present study aimed to develop this paradigm to address alternative explanations for the lack of predictive eye movements on false-belief tasks by autistic adults. This was achieved through implementing a multi-trial design with matched true-belief conditions, and both high and low inhibitory demand false-belief conditions. We also sought to inspect if any group differences were related to group-specific patterns of attention on key events. Autistic adults were compared with non-autistic adults on this adapted implicit mentalizing task and an established explicit task. The two groups performed equally well in the explicit task; however, autistic adults did not show anticipatory-looking behaviour in the false-belief trials of the implicit task. Critically, both groups showed the same attentional distribution in the implicit task prior to action prediction, indicating that autistic adults process information from social cues in the same way as non-autistic adults, but this information is not then used to update mental representations. Our findings further document that many autistic people struggle to spontaneously mentalize others' beliefs, and this non-verbal paradigm holds promise for use with a wide range of ages and abilities.

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Background and aims: Previous evidence has indicated that problematic social media use (PSMU) is characterized by an attentional bias to social media icons (such as Facebook icons), but not to social webpages (such as Facebook webpages). They suggest that there may be other factors influencing attentional bias like fear of missing out (FoMO). But it remains unclear how FoMO moderates attentional bias in PSMU. This study aims to investigate whether PSMU show attentional bias for stimuli associated with social media, and how FoMO moderates on attentional bias among PSMU through experimental methods. Methods: Based on the Interaction of Person-Affect-Cognition-Execution (I-PACE) model, this study explored mechanisms of attentional bias to social media icons (such as WeChat) related to PSMU and further examined the role of FoMO in this relationship. Specifically, attentional bias patterns to social media icons of 62 participants (31 PSMU and 31 control group) were explored during a dot-probe paradigm combined with eye-tracking in Experiment 1, and attentional bias patterns to social media icons of another 61 individuals with PSMU with different FoMO levels was explored during a dot-probe paradigm combined with eye-tracking in Experiment 2. Results: Results revealed that individuals with PSMU had an attentional bias toward social media icons, demonstrated by attentional maintenance, and such bias such bias was moderated by FoMO negatively, demonstrated by attentional vigilance and maintenance in PSMU/high FoMO. Conclusion: These results suggest that attentional bias is a common mechanism associated with PSMU, and FoMO is a key factor on the development of PSMU.

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BACKGROUND: The experimental evaluation of young children's socio-emotional abilities is limited by the lack of existing specific measures to assess this population and by the relative difficulty for researchers to adapt measures designed for the general population. METHODS: This study examined six early social-emotional abilities in 86 typically developing children aged 1 to 3 years using an eye-tracking-based experimental paradigm that combined visual preference tasks adapted from pre-existing infant studies. OBJECTIVES: The aim of this study is to obtain developmental norms in six early social-emotional abilities in typical children aged 1 to 3 years that would be promising for an understanding of disorders of mental development. These developmental standards are essential to enable comparative assessments with children with atypical development, such as children with Profound Intellectual and Multiple Disabilities (PIMD). RESULTS: The participants had greater spontaneous visual preferences for biological (vs. non-biological) motion, socially salient (vs. non-social) stimuli, the eye (vs. mouth) area of emotional expressions, angry (vs. happy) faces, and objects of joint attention (vs. non-looked-at ones). Interestingly, although the prosocial (vs. antisocial) scene of the socio-moral task was preferred, both the helper and hinderer characters were equally gazed at. Finally, correlational analyses revealed that performance was neither related to participants' age nor to each other (dismissing the hypothesis of a common underpinning process). CONCLUSION: Our revised experimental paradigm is possible in infants aged 1 to 3 years and thus provides additional scientific proof on the direct assessment of these six socio-emotional abilities in this population.