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  • Machine learning for distinguishing saudi children with and without autism via eye-tracking data

    Open AccessPeer-Reviewed30/09/2023Autism Center, King Faisal Specialists Hospital and Research Center + 4

    Background Despite the prevalence of Autism Spectrum Disorder (ASD) globally, there’s a knowledge gap pertaining to autism in Arabic nations. Recognizing the need for validated biomarkers for ASD, our study leverages eye-tracking technology to understand gaze patterns associated with ASD, focusing on joint attention (JA) and atypical gaze patterns during face perception. While previous studies […]

  • Predicting video virality and viewer engagement: a biometric data and machine learning approach

    GatedPeer-Reviewed29/09/2023Loyola University Chicago + 2

    Predicting video virality is the holy grail of marketing today. Previous video virality prediction research has relied upon two processes that may lead to incomplete data or incomplete analyses: non-subconscious data collection and self-reporting. This exploratory study evaluates the potential of using a physiological manifestation of emotions captured through facial expressions and skin conductance to […]

  • Self-reported eye contact sensitivity and face processing in chromosome 22q11.2 deletion syndrome

    Open AccessPeer-Reviewed21/09/2023Gillberg Neuropsychiatry Centre, Sahlgrenska Academy, University of Gothenburg

    Introduction 22q11.2 deletion syndrome (22qDS) has been associated with varying levels of social impairments, and with atypical visual scanning of faces. The present study explored whether self-reported sensitivity to eye contact might be related to these phenomena. Method Individuals with confirmed 22qDS were interviewed about their experience and possible discomfort with eye contact. In cases […]

  • Prenatal affective cognitive training: A proof-of-concept study

    Open AccessPeer-Reviewed18/09/2023Copenhagen Affective Disorders Research Center (CADIC) + 2

    Negatively biased cognitive response to infant stimuli during pregnancy is associated with increased postpartum depression (PPD) risk. This proof-of-concept study aimed to investigate the feasibility and effects of a two-week affective cognitive training intervention on cognitive responses to emotional infant stimuli for pregnant participants at risk of PPD. Forty-three participants were included: 23 â€‹at high risk and 22 â€‹at […]

  • Investigation and Prediction of Cognitive Load During Memory and Arithmetic Tasks

    Gated13/09/2023Wroclaw University of Science and Technology

    The research presented in this paper aimed to study the effects of arithmetic and memory tasks (with two levels of difficulty: easy and hard) on human cognitive load using biometric eye tracking techniques. The experiment was conducted with thirty-one participants using iMotions’ integrated biometric platform. In addition to the eye tracking technique, data was also […]

  • Examination of gaze behaviour in social anxiety disorder using a virtual reality eye-tracking paradigm: protocol for a case–control study

    Open AccessPeer-Reviewed24/08/2023VIRTU Research Group, Copenhagen Research Centre on Mental Health (CORE) + 2

    Social anxiety disorder (SAD) has an early onset, a high lifetime prevalence, and may be a risk factor for developing other mental disorders. Gaze behaviour is considered an aberrant feature of SAD. Eye-tracking, a novel technology device, enables recording eye movements in real time, making it a direct and objective measure of gaze behaviour. Virtual […]

  • Effects of pictorial warning labels depicting lesser-known and well-known risks of smoking on viewing patterns, recall, and knowledge of smoking harms

    GatedPeer-Reviewed23/08/2023Center for Interdisciplinary Research on Nicotine Addiction, Department of Psychiatry, University of Pennsylvania + 2

    In 2019, the Food and Drug Administration introduced 11 pictorial warning labels (PWLs) for inclusion on cigarette packages, created in compliance with court recommendations and tailored to increase knowledge of smoking harms. Several highlighted lesser-known risks of smoking. No behavioral studies have yet evaluated how risk content in PWLs impacts viewing patterns, recall, and knowledge […]

  • DUX: a dataset of user interactions and user emotions

    Open AccessPeer-Reviewed15/08/2023Nuremberg Institute of Technology

    User experience evaluation is becoming increasingly important, and so is emotion recognition. Recognizing users’ emotions based on their interactions alone would not be intrusive to users and can be implemented in many applications. This is still an area of active research and requires data containing both the user interactions and the corresponding emotions. Currently, there […]

  • Using facial emotion recognition to research emotional phases in an inquiry-based science activity

    GatedPeer-Reviewed09/07/2023Complutense University of Madrid + 3

    Background Observational and declarative approaches applied by human observers have dominated the study of emotions, engagement, and attention. However, these approaches are susceptible to biases such as social desirability. Additionally, declarative approach cannot measure these parameters in real-time. Purpose This study aims to apply Facial Emotion Recognition (FER) technology in an inquiry-based activity to address […]

  • Systematic Evaluation of Driver’s Behavior: A Multimodal Biometric Study

    GatedPeer-Reviewed09/07/2023University of Padua + 2

    Abstract Complex traffic areas and high cognitive workload while driving are leading contributors to traffic crashes. Even though cognitive workload and stress have been previously assessed through various neurophysiological responses, they are rarely characterized simultaneously, limiting the triangulation of behavioral metrics (like drivers’ visual attention and facial coding) with physiological measures to investigate their interplay. […]

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