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Understanding Learning Engagement with User-Centered Human-Computer Interaction in a Multimodal Online Learning Environment
Multimodal online learning environment improves learning experience through different modalities such as visual, auditory, and kinesthetic interactions. Multimodal learning analytics (MMLA) with multiple biosensors provides a way to overcome the challenge of analyzing the multiple interaction types simultaneously. Galvanic skin response/electrodermal activity (GSR/EDA), eye tracking and facial expression were used to measure the learning interaction […] -
Visual Analysis and Recognition of Virtual Reality Resolution Based on Pupil Response and Galvanic Skin Response
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 […] -
Design and assessment of an experimental model for evaluating the effectiveness of audiovisual products on the circular economy aimed at promoting environmental awareness
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 […] -
Comparison of visual attention and purchase intention of traffic light and warning disc supplementary nutritional labels in the Zamorano University student population
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 […] -
Self-reported and electroencephalogram responses to evaluate sponsorship congruence efficacy
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 […] -
Machine learning for distinguishing saudi children with and without autism via eye-tracking data
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
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
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
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 […] -
Investigation and Prediction of Cognitive Load During Memory and Arithmetic Tasks
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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