The reverse congruency effect elicited by eye-gaze as a function of attention-deficit/hyperactivity disorder symptoms.

Individuals diagnosed with attention deficit/hyperactivity disorder (ADHD) have been found to have impairments in multiple aspects of social cognition, thus including the attentional processing of socially relevant stimuli such as eye-gaze. However, to date, it remains unclear whether only the social-specific but not the domain-general directional components, elicited by eye-gaze are affected by ADHD symptomatology. To address this issue, the present study aimed to investigate the impact of ADHD-like traits on the social-specific attentional processing of eye-gaze. To this purpose, we conducted an online experiment with a sample of 140 healthy undergraduate participants who completed two self-reported questionnaires designed to assess ADHD-like traits, and a social variant of an interference spatial task known to effectively isolate the social-specific component of eye-gaze. To make our research plan transparent, our hypotheses, together with the plans of analyses, were registered before data exploration. Results showed that while the social-specific component of eye-gaze was evident in the sample, no significant correlation was found between this component and the measured ADHD-like traits. These results appear to contradict the intuition that the attentional processing of the social-specific components of eye-gaze may be impaired by ADHD symptomatology. However, further research involving children and clinical populations is needed in order to clarify this matter.

Mutual eye gaze and vocal pitch in relation to social anxiety and depression: A virtual interaction task.

BACKGROUND: Individuals with high social interaction anxiety (SIA) and depression often behave submissively in social settings. Few studies have simultaneously examined the associations between objectively assessed submissive behaviors and SIA or depression, despite their high comorbidity and unknown mechanisms regarding submissiveness. METHODS: A sample of 45 young adults self-reported trait SIA and depression, state positive/negative affect (PA/NA) before and after a virtual social interaction. Participants engaged in a four-minute conversation with a confederate who was trained to behave neutrally. Mutual eye gaze, via eye-tracking, and vocal pitch were assessed throughout the interaction. RESULTS: Depression and SIA were positively correlated with NA, poorer self-rated performance, and vocal pitch. Highly socially anxious women engaged in less mutual eye gaze than highly socially anxious men. Also, vocal pitch was inversely associated with mutual eye gaze and positively related to NA and (nonsignificantly) to self-ratings of poor performance. Finally, our data partially replicated past research on the use of vocal pitch during social stress to detect social anxiety disorder. LIMITATIONS: The current sample is relatively homogenous in educational attainment, age, and race. All research confederates were women. Future research should examine whether these archival data replicate with the latest telecommunication technologies. CONCLUSION: Our findings highlight nuanced relationships among SIA, depression, emotions, self-perceptions, and biobehavioral indicators of submissive behavior-in response to an ambiguously negative/positive social interaction. Sex/gender may interact with these effects, emphasizing considerations for research method designs.

Deliberate and Self-Conscious Adaptation of Eye-Contact by Autistic Adults.

Eye gaze is widely recognised as an important element in managing social interactions, receiving information from others and communicating information about ourselves. Atypical eye gaze is one of the characteristic hallmarks of autism. Experimental research has contributed significantly to our knowledge of eye-gaze in autism, however, there is a lack of research exploring how autistic individuals describe and understand the phenomenological experience of eye-gaze and eye-contact. The current study explores the subjective experience of deliberate and self-conscious adaptation of eye-contact by autistic adults. Nine autistic adults were interviewed individually about their experiences of eye-contact. Audio recordings were transcribed, and analysed using Interpretative Phenomenological Analysis (IPA). Themes included gaining awareness of eye contact differences through feedback from others, the interaction of motivation to make eye-contact with a sense of autistic identity, difficulties listening when making eye contact, the importance of familiarity of conversational partners, and strategies to make eye-contact. This study makes an important and novel contribution to understanding the experience of eye-contact differences from the perspective of autistic adults themselves, highlighting the phenomenology of eye-contact as potentially aversive and the social pressure to engage in it, and exploring factors influencing effective eye-contact, with implications for psychological intervention.

Cognitive load in tele-robotic surgery: a comparison of eye tracker designs.

PURPOSE: Eye gaze tracking and pupillometry are evolving areas within the field of tele-robotic surgery, particularly in the context of estimating cognitive load (CL). However, this is a recent field, and current solutions for gaze and pupil tracking in robotic surgery require assessment. Considering the necessity of stable pupillometry signals for reliable cognitive load estimation, we compare the accuracy of three eye trackers, including head and console-mounted designs. METHODS: We conducted a user study with the da Vinci Research Kit (dVRK), to compare the three designs. We collected eye tracking and dVRK video data while participants observed nine markers distributed over the dVRK screen. We compute and analyze pupil detection stability and gaze prediction accuracy for the three designs. RESULTS: Head-worn devices present better stability and accuracy of gaze prediction and pupil detection compared to console-mounted systems. Tracking stability along the field of view varies between trackers, with gaze predictions detected at invalid zones of the image with high confidence. CONCLUSION: While head-worn solutions show benefits in confidence and stability, our results demonstrate the need to improve eye tacker performance regarding pupil detection, stability, and gaze accuracy in tele-robotic scenarios.

Identifying Autism Gaze Patterns in Five-Second Data Records.

One of the most challenging problems when diagnosing autism spectrum disorder (ASD) is the need for long sets of data. Collecting data during such long periods is challenging, particularly when dealing with children. This challenge motivates the investigation of possible classifiers of ASD that do not need such long data sets. In this paper, we use eye-tracking data sets covering only 5 s and introduce one metric able to distinguish between ASD and typically developed (TD) gaze patterns based on such short time-series and compare it with two benchmarks, one using the traditional eye-tracking metrics and one state-of-the-art AI classifier. Although the data can only track possible disorders in visual attention and our approach is not a substitute to medical diagnosis, we find that our newly introduced metric can achieve an accuracy of 93% in classifying eye gaze trajectories from children with ASD surpassing both benchmarks while needing fewer data. The classification accuracy of our method, using a 5 s data series, performs better than the standard metrics in eye-tracking and is at the level of the best AI benchmarks, even when these are trained with longer time series. We also discuss the advantages and limitations of our method in comparison with the state of the art: besides needing a low amount of data, this method is a simple, understandable, and straightforward criterion to apply, which often contrasts with "black box" AI methods.

Use of eye-gaze technology feedback by assistive technology professionals: findings from a thematic analysis.

Purpose: Eye-gaze technology offers professionals a range of feedback tools, but it is not well understood how these are used to support decision-making or how professionals understand their purpose and function. This paper explores how professionals use a variety of feedback tools and provides commentary on their current use and ideas for future tool development.Methods and Materials: The study adopted a focus group methodology with two groups of professional participants: those involved in the assessment and provision of eye-gaze technology (n = 6) and those who interact with individuals using eye-gaze technology on an ongoing basis (n = 5). Template analysis was used to provide qualitative insight into the research questions.Results: Professionals highlighted several issues with existing tools and gave suggestions on how these could be made better. It is generally felt that existing tools highlight the existence of problems but offer little in the way of solutions or suggestions. Some differences of opinion related to professional perspective were highlighted. Questions about automating certain processes were raised by both groups.Conclusions: Discussion highlighted the need for different levels of feedback for users and professionals. Professionals agreed that current tools are useful to identify problems but do not offer insight into potential solutions. Some tools are being used to draw inferences about vision and cognition which are not supported by existing literature. New tools may be needed to better meet the needs of professionals and an increased understanding of how existing tools function may support such development.

Professionals sometimes make use of feedback tools to infer the cognitive and/or visual abilities of users, although the tools are not designed or validated for these purposes, and the existing literature does not support this.Some eye-gaze feedback tools are perceived as a "black box", leaving professionals uncertain as to how to usefully interpret and apply the outputs.There is an opportunity to improve tools that provide feedback on how well an eye-gaze system is working or how effectively a user can interact with this technology.Professionals identified that tools could be better at offering potential solutions, rather than simply identifying the existence of problems.

Novelty preference assessed by eye tracking: A sensitive measure of impaired recognition memory in epilepsy.

OBJECTIVE: Epilepsy patients often report memory deficits despite normal objective testing, suggesting that available measures are insensitive or that non-mnemonic factors are involved. The Visual Paired Comparison Task (VPCT) assesses novelty preference, the tendency to fixate on novel images rather than previously viewed items, requiring recognition memory for the "old" images. As novelty preference is a sensitive measure of hippocampal-dependent memory function, we predicted impaired VPCT performance in epilepsy patients compared to healthy controls. METHODS: We assessed 26 healthy adult controls and 31 epilepsy patients (16 focal-onset, 13 generalized-onset, 2 unknown-onset) with the VPCT using delays of 2 or 30 s between encoding and recognition. Fifteen healthy controls and 17 epilepsy patients (10 focal-onset, 5 generalized-onset, 2 unknown-onset) completed the task at 2-, 5-, and 30-minute delays. Subjects also performed standard memory measures, including the Medical College of Georgia (MCG) Paragraph Test, California Verbal Learning Test-Second Edition (CVLT-II), and Brief Visual Memory Test-Revised (BVMT-R). RESULTS: The epilepsy group was high functioning, with greater estimated IQ (p = 0.041), greater years of education (p = 0.034), and higher BVMT-R scores (p = 0.024) compared to controls. Both the control group and epilepsy cohort, as well as focal- and generalized-onset subgroups, had intact novelty preference at the 2- and 30-second delays (p-values ≤ 0.001) and declined at 30 min (p-values > 0.05). Only the epilepsy patients had early declines at 2- and 5-minute delays (controls with intact novelty preference at p = 0.003 and p ≤ 0.001, respectively; epilepsy groups' p-values > 0.05). CONCLUSIONS: Memory for the "old" items decayed more rapidly in overall, focal-onset, and generalized-onset epilepsy groups. The VPCT detected deficits while standard memory measures were largely intact, suggesting that the VPCT may be a more sensitive measure of temporal lobe memory function than standard neuropsychological batteries.

The psychosocial impact of eye-gaze assistive technology on everyday life of children and adults.

PURPOSE: This study investigates the psychosocial impact of eye-gaze assistive technology (EGAT) in both children and adults with long-term experience using eye-gaze assistive technology in everyday life, as well as the psychosocial impact as related to duration of use. METHODS: In this descriptive comparative study, 34 adult and 27 child EGAT users participated in a structured individual interview using the Psychosocial Impact of Assistive Devices Scale (PIADS). RESULTS: The participants' age ranged from 5-74 years, 50% were female and 52% had been diagnosed with cerebral palsy. The EGAT had a positive psychosocial impact on competence, adaptability, and self-esteem among adult and child users. Competence was the only subscale with a higher value for adults (p = 0.038), compared to children. The items with the highest impact for the psychosocial aspects were quality of life, ability to participate, and self-esteem. The adults had longer duration of use than children, but for high-, medium-, and low-duration users, the device showed a positive psychosocial impact. CONCLUSIONS: Participants considered EGAT to have high positive impacts for participation and quality of life. The study adds new knowledge in that high positive psychosocial impact may be found even among low-duration users of EGAT, which is important to consider for service providers.

Effects of age on behavioural and eye gaze on Theory of Mind using movie for social cognition.

Evidence has shown that older adults have lower accuracy in Theory of Mind (ToM) tasks compared with young adults, but we are still unclear whether the difficulty in decoding mental states in older adults stems from not looking at the critical areas, and more so from the ageing Asian population. Most ToM studies use static images or short vignettes to measure ToM but these stimuli are dissimilar to everyday social interactions. We investigated this question using a dynamic task that measured both accuracy and error types, and examined the links between accuracy and error types to eye gaze fixation at critical areas (e.g., eyes, mouth, body). A total of 82 participants (38 older, 44 young adults) completed the Movie for the Assessment of Social Cognition (MASC) task on the eye tracker. Results showed that older adults had a lower overall accuracy with more errors in the ipo-ToM (under-mentalising) and no-ToM (lack of mentalisation) conditions compared with young adults. We analysed the eye gaze data using principal components analysis and found that increasing age and looking less at the face were related to lower MASC accuracy in our participants. Our findings suggest that ageing deficits in ToM are linked to a visual attention deficit specific to the perception of socially relevant nonverbal cues.

Seeing through a robot's eyes: A cross-sectional exploratory study in developing a robotic screening technology for autism.

The present exploratory cross-sectional case-control study sought to develop a reliable and scalable screening tool for autism using a social robot. The robot HUMANE, installed with computer vision and linked with recognition technology, detected the direction of eye gaze of children. Children aged 3-8 (M = 5.52; N = 199) participated, 87 of whom had been confirmed with autism, 55 of whom were suspected to have autism, and 57 of whom were not considered to cause any concern for having autism. Before a session, a human experimenter instructed HUMANE to narrate a story to a child. HUMANE prompted the child to return his/her eye gaze to the robot if the child looked away, and praised the child when it re-established its eye gaze quickly after a prompt. The reliability of eye gaze detection was checked across all pairs of human raters and HUMANE and reached 0.90, indicating excellent interrater agreement. Using the pre-specified reference standard (Autism Spectrum Quotient), the sensitivity and specificity of the index tests (i.e., the number of robot prompts and duration of inattentiveness) reached 0.88 or above and the Diagnostic Odds Ratios were beyond 190. These results show that social robots may detect atypical eye patterns, suggesting a potential future for screening autism using social robots.

What are wereallydecoding? Unveiling biases in EEG-based decoding of the spatial focus of auditory attention.

Objective.Spatial auditory attention decoding (Sp-AAD) refers to the task of identifying the direction of the speaker to which a person is attending in a multi-talker setting, based on the listener's neural recordings, e.g. electroencephalography (EEG). The goal of this study is to thoroughly investigate potential biases when training such Sp-AAD decoders on EEG data, particularly eye-gaze biases and latent trial-dependent confounds, which may result in Sp-AAD models that decode eye-gaze or trial-specific fingerprints rather than spatial auditory attention.Approach.We designed a two-speaker audiovisual Sp-AAD protocol in which the spatial auditory and visual attention were enforced to be either congruent or incongruent, and we recorded EEG data from sixteen participants undergoing several trials recorded at distinct timepoints. We trained a simple linear model for Sp-AAD based on common spatial patterns filters in combination with either linear discriminant analysis (LDA) or k-means clustering, and evaluated them both across- and within-trial.Main results.We found that even a simple linear Sp-AAD model is susceptible to overfitting to confounding signal patterns such as eye-gaze and trial fingerprints (e.g. due to feature shifts across trials), resulting in artificially high decoding accuracies. Furthermore, we found that changes in the EEG signal statistics across trials deteriorate the trial generalization of the classifier, even when the latter is retrained on the test trial with an unsupervised algorithm.Significance.Collectively, our findings confirm that there exist subtle biases and confounds that can strongly interfere with the decoding of spatial auditory attention from EEG. It is expected that more complicated non-linear models based on deep neural networks, which are often used for Sp-AAD, are even more vulnerable to such biases. Future work should perform experiments and model evaluations that avoid and/or control for such biases in Sp-AAD tasks.

Neural circuit disruptions of eye gaze processing in autism spectrum disorder and schizophrenia: An activation likelihood estimation meta-analysis.

BACKGROUND: Impairment in social cognition, particularly eye gaze processing, is a shared feature common to autism spectrum disorder (ASD) and schizophrenia. However, it is unclear if a convergent neural mechanism also underlies gaze dysfunction in these conditions. The present study examined whether this shared eye gaze phenotype is reflected in a profile of convergent neurobiological dysfunction in ASD and schizophrenia. METHODS: Activation likelihood estimation (ALE) meta-analyses were conducted on peak voxel coordinates across the whole brain to identify spatial convergence. Functional coactivation with regions emerging as significant was assessed using meta-analytic connectivity modeling. Functional decoding was also conducted. RESULTS: Fifty-six experiments (n = 30 with schizophrenia and n = 26 with ASD) from 36 articles met inclusion criteria, which comprised 354 participants with ASD, 275 with schizophrenia and 613 healthy controls (1242 participants in total). In ASD, aberrant activation was found in the left amygdala relative to unaffected controls during gaze processing. In schizophrenia, aberrant activation was found in the right inferior frontal gyrus and supplementary motor area. Across ASD and schizophrenia, aberrant activation was found in the right inferior frontal gyrus and right fusiform gyrus during gaze processing. Functional decoding mapped the left amygdala to domains related to emotion processing and cognition, the right inferior frontal gyrus to cognition and perception, and the right fusiform gyrus to visual perception, spatial cognition, and emotion perception. These regions also showed meta-analytic connectivity to frontoparietal and frontotemporal circuitry. CONCLUSION: Alterations in frontoparietal and frontotemporal circuitry emerged as neural markers of gaze impairments in ASD and schizophrenia. These findings have implications for advancing transdiagnostic biomarkers to inform targeted treatments for ASD and schizophrenia.

Maximizing valid eye-tracking data in human and macaque infants by optimizing calibration and adjusting areas of interest.

Remote eye tracking with automated corneal reflection provides insights into the emergence and development of cognitive, social, and emotional functions in human infants and non-human primates. However, because most eye-tracking systems were designed for use in human adults, the accuracy of eye-tracking data collected in other populations is unclear, as are potential approaches to minimize measurement error. For instance, data quality may differ across species or ages, which are necessary considerations for comparative and developmental studies. Here we examined how the calibration method and adjustments to areas of interest (AOIs) of the Tobii TX300 changed the mapping of fixations to AOIs in a cross-species longitudinal study. We tested humans (N = 119) at 2, 4, 6, 8, and 14 months of age and macaques (Macaca mulatta; N = 21) at 2 weeks, 3 weeks, and 6 months of age. In all groups, we found improvement in the proportion of AOI hits detected as the number of successful calibration points increased, suggesting calibration approaches with more points may be advantageous. Spatially enlarging and temporally prolonging AOIs increased the number of fixation-AOI mappings, suggesting improvements in capturing infants' gaze behaviors; however, these benefits varied across age groups and species, suggesting different parameters may be ideal, depending on the population studied. In sum, to maximize usable sessions and minimize measurement error, eye-tracking data collection and extraction approaches may need adjustments for the age groups and species studied. Doing so may make it easier to standardize and replicate eye-tracking research findings.

Psychopathy and gaze cueing.

BACKGROUND AND OBJECTIVES: Psychopathic traits - and especially callous affective features - have been linked to altered processing of others' emotional expressions, and to reduced attention to the eyes. Despite the importance of gaze cueing (i.e., the tendency to orient attention toward where someone else is looking) for social functioning, few studies have investigated relationships between psychopathic traits and gaze cueing, and whether facial emotional expression influence these relationships, obtaining mixed results. To address this gap, the present study aimed to evaluate associations between psychopathic traits and gaze cueing for emotional and neutral expressions. METHODS: 65 non-clinical male participants (Mage = 27.3 years) completed two self-report measures of psychopathy and performed laboratory tasks to assess gaze-cueing for emotional vs. neutral faces and an arrow-cueing task as a comparison. RESULTS: Linear mixed models showed no significant associations of emotional (versus neutral) expressions, or psychopathy trait dimensions, with either gaze cueing or arrow cueing. LIMITATIONS: Reliance on a convenience sample of non-clinical men, assessed with self-reports measures of psychopathy, and using static emotional stimuli limit the generalizability of our findings. CONCLUSIONS: Findings suggest that psychopathic traits are not associated with individual differences in following others' gaze to direct attention, and that there was no advantage for affective relative to neutral expressions.

The ability of typically developing 2-3 year olds to infer the control mechanism for eye-gaze technology and the impact of causal language instruction.

PURPOSE: Little is known about how children learn to control eye-gaze technology, and clinicians lack information to guide decision-making. This paper examines whether typically developing 2-3 year olds can infer for themselves the causal mechanisms by which eye-gaze technology is controlled, whether a teaching intervention based on causal language improves performance and how their performance compares to the same task accessed via a touchscreen.Methods and materials: Typically developing children's (n = 9, Mean Age 28.7 months) performance on a cause and effect game presented on eye-gaze and touchscreen devices was compared. The game was presented first with no specific instruction on how to control the devices. This was followed by a subsequent presentation with explicit instruction about how the access methods worked, using a causal language approach. A final presentation examined whether children had retained any learning. RESULTS: Performance in the eye-gaze condition without instruction (42.5% successful trials) was significantly below performance in the corresponding touchscreen condition (75%). However, when causal language instruction was added, performance with both access methods rose to comparable levels (90.7% eye-gaze and 94.6% touchscreen success). Performance gains were not retained post-intervention. CONCLUSIONS: Although 2-3 years in the study could make use of eye-gaze technology with support, this study found no evidence that these children could infer the causal mechanisms of control independently or intuitively. The lack of spatial contiguity and the comparative lack of feedback from eye-gaze devices are discussed as possible contributory factors.

There are challenges in young children inferring for themselves the causal link between eye movements and control of an eye-gaze device.Explicit instruction may improve children's performance in a specific task, but it is debatable whether this translates to the establishment of causal mechanisms for control of the device.Clinicians should be cautious of making assumptions about what children are learning from activities claiming to teach cause and effect or other foundational eye-gaze control skills.

Gaze-Triggered Communicative Intention Compresses Perceived Temporal Duration.

Eye gaze communicates a person's attentional state and intentions toward objects. Here we demonstrate that this important social signal has the potential to distort time perception of gazed-at objects (N = 70 adults). By using a novel gaze-associated learning paradigm combined with the time-discrimination task, we showed that objects previously associated with others' eye gaze were perceived as significantly shorter in duration than the nonassociated counterparts. The time-compression effect cannot be attributed to general attention allocation because it disappeared when objects were associated with nonsocial attention cues (i.e., arrows). Critically, this effect correlated with observers' autistic traits and vanished when the gazing agent's line of sight was blocked by barriers, reflecting the key role of intention processing triggered by gaze in modulating time perception. Our findings support the existence of a special mechanism tuned to social cues, which can shape our perception of the outer world in time domains.

Ten-month-old infants' neural tracking of naturalistic speech is not facilitated by the speaker's eye gaze.

Eye gaze is a powerful ostensive cue in infant-caregiver interactions, with demonstrable effects on language acquisition. While the link between gaze following and later vocabulary is well-established, the effects of eye gaze on other aspects of language, such as speech processing, are less clear. In this EEG study, we examined the effects of the speaker's eye gaze on ten-month-old infants' neural tracking of naturalistic audiovisual speech, a marker for successful speech processing. Infants watched videos of a speaker telling stories, addressing the infant with direct or averted eye gaze. We assessed infants' speech-brain coherence at stress (1-1.75 Hz) and syllable (2.5-3.5 Hz) rates, tested for differences in attention by comparing looking times and EEG theta power in the two conditions, and investigated whether neural tracking predicts later vocabulary. Our results showed that infants' brains tracked the speech rhythm both at the stress and syllable rates, and that infants' neural tracking at the syllable rate predicted later vocabulary. However, speech-brain coherence did not significantly differ between direct and averted gaze conditions and infants did not show greater attention to direct gaze. Overall, our results suggest significant neural tracking at ten months, related to vocabulary development, but not modulated by speaker's gaze.

Exploring Correlations of Food-Specific Disgust with Eating Disorder Psychopathology and Food Interaction: A Preliminary Study Using Virtual Reality.

The emotion of disgust is thought to play a critical role in maintaining restrictive eating among individuals with anorexia nervosa. This exploratory cross-sectional study examined correlations between food-specific trait and state disgust, eating disorder psychopathology, illness severity (body mass index: BMI), and interactions with virtual foods in people with anorexia nervosa. Food-specific trait disgust and eating disorder symptoms were measured before exposure to virtual foods in one of three virtual reality (VR) kitchens to which participants were randomly allocated. Food interactions (eye gaze and reaching towards virtual foods) were measured during the VR exposure. Food-specific state disgust ratings were collected after the VR exposure. In the entire sample, eating disorder symptoms correlated positively with food-specific trait disgust (rs (68) = 0.45, p < 0.001). We also found a significant association between food-specific state disgust and eating disorder symptoms in each virtual kitchen scenario: virtual kitchen only (rs (22) = 0.40, p = 0.05), virtual kitchen plus pet (rs (22) = 0.80, p < 0.001), and virtual kitchen plus avatar (rs (20) = 0.78, p < 0.001). No significant correlation was observed for the link between food-specific disgust measures and food-related touch. Correlations between food-specific trait disgust and food-related eye gaze differed across scenarios. The current experimental paradigm needs to be improved to draw firm conclusions. Both food-specific trait and state disgust are associated with eating disorder psychopathology, and therefore, effective strategies are warranted to attenuate food-specific disgust.

Deep learning models for webcam eye tracking in online experiments.

Eye tracking is prevalent in scientific and commercial applications. Recent computer vision and deep learning methods enable eye tracking with off-the-shelf webcams and reduce dependence on expensive, restrictive hardware. However, such deep learning methods have not yet been applied and evaluated for remote, online psychological experiments. In this study, we tackle critical challenges faced in remote eye tracking setups and systematically evaluate appearance-based deep learning methods of gaze tracking and blink detection. From their own homes and laptops, 65 participants performed a battery of eye tracking tasks including (i) fixation, (ii) zone classification, (iii) free viewing, (iv) smooth pursuit, and (v) blink detection. Webcam recordings of the participants performing these tasks were processed offline through appearance-based models of gaze and blink detection. The task battery required different eye movements that characterized gaze and blink prediction accuracy over a comprehensive list of measures. We find the best gaze accuracy to be 2.4° and precision of 0.47°, which outperforms previous online eye tracking studies and reduces the gap between laboratory-based and online eye tracking performance. We release the experiment template, recorded data, and analysis code with the motivation to escalate affordable, accessible, and scalable eye tracking that has the potential to accelerate research in the fields of psychological science, cognitive neuroscience, user experience design, and human-computer interfaces.

Are eyes special? Gaze, but not pointing gestures, elicits a reversed congruency effect in a spatial Stroop task.

Gaze stimuli can shape attention in a peculiar way as compared to non-social stimuli. For instance, in a spatial Stroop task, gaze stimuli elicit a reversed congruency effect (i.e., faster responses on incongruent than on congruent trials) as compared to arrows, for which a standard congruency effect emerges. Here, we tested whether the reversed congruency effect observed for gaze can emerge for other social signals such as pointing gestures. Participants discriminated the direction (left or right) indicated by gaze and pointing finger stimuli that appeared leftwards or rightwards with respect to a central fixation spot. Arrows were also employed as control non-social stimuli. A reversed congruency effect emerged for the gaze, whereas a standard congruency effect emerged for both the pointing finger and the arrows. This suggests that the reversed congruency effect is specific to gaze stimuli and does not embrace all social signals conveying spatial information.