Research & Science
Publications
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2023 Institute of Electrical and Electronics Engineers Gated Peer-Reviewed
Visual Analysis and Recognition of Virtual Reality Resolution Based on Pupil Response and Galvanic Skin Response
University of Science and Technology of China
The ability to efficiently assess the resolution of VR videos is critical for the implementation and advertising of VR products. Pupil responses and Galvanic Skin Response (GSR) are direct and objective mirrors of the emotional activity of humans. They are unaffected by subjective will and has excellent real-time performance, which can be used for VR […]
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2023 Journal of Cleaner Production Open Access Peer-Reviewed
Design and assessment of an experimental model for evaluating the effectiveness of audiovisual products on the circular economy aimed at promoting environmental awareness
Rey Juan Carlos University
Communication is crucial to encourage citizens to adopt sustainable habits, but the effectiveness of awareness-raising actions in the last decade has been limited. Therefore, it is essential to invest efforts to understand and improve the effectiveness of environmental awareness actions. This research aims to design an experimental model to evaluate the effectiveness of audiovisual products on ecological […]
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2023 Journal of Neuroscience, Psychology, and Economics Gated Peer-Reviewed
Self-reported and electroencephalogram responses to evaluate sponsorship congruence efficacy
University of Granada
Information for measuring the performance of a commercial action is essential for any organization. Sponsorship actions have increased significantly in the last few decades, but academics and practitioners have not yet found a suitable indicator for measuring their performance. This is the first study to propose an objective indicator-frontal alpha asymmetry using an electroencephalogram. Our […]
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2023 2023 Inter-Conference Symposium Open Access
Comparison of visual attention and purchase intention of traffic light and warning disc supplementary nutritional labels in the Zamorano University student population
Zamorano University
Malnutrition is a health condition that either excise or deficient nutrient consumption can characterize. In the Latin American region, while there is still a high prevalence of undernutrition, the region also suffers from obesity, with an estimate that one in four adults is obese. One of the main drivers of the increasing prevalence of obesity […]
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2023 Child and Adolescent Psychiatry and Mental Health Open Access Peer-Reviewed
Machine learning for distinguishing saudi children with and without autism via eye-tracking data
Autism Center, King Faisal Specialists Hospital and Research Center + 3 more
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 […]
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2023 Behaviour & Information Technology Gated Peer-Reviewed
Predicting video virality and viewer engagement: a biometric data and machine learning approach
Loyola University Chicago + 1 more
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 […]
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2023 Journal of Clinical and Experimental Neuropsychology Open Access Peer-Reviewed
Self-reported eye contact sensitivity and face processing in chromosome 22q11.2 deletion syndrome
Gillberg 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 […]
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2023 Neuroscience Applied Open Access Peer-Reviewed
Prenatal affective cognitive training: A proof-of-concept study
Copenhagen Affective Disorders Research Center (CADIC) + 1 more
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 at high risk and 22 at […]
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2023 International Conference on Computational Collective Intelligence Gated
Investigation and Prediction of Cognitive Load During Memory and Arithmetic Tasks
Wroclaw 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 […]
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2023 Business Process Management: Blockchain, Robotic Process Automation and Educators Forum Open Access Peer-Reviewed
What Are You Gazing At? An Approach to Use Eye-Tracking for Robotic Process Automation
Escuela Técnica Superior de Ingeniería Informática + 1 more
User Interface (UI) logs are crucial in capturing and analyzing user behavior, enabling a comprehensive understanding of business processes and eventual process automation with Robotic Process Automation (RPA). However, extracting meaningful insights from UI logs becomes challenging, especially when dealing with complex and information-dense graphical user interfaces. This paper presents a novel approach that leverages […]
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