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Emotional contagion in dyadic online video conferences—empirical evidence based on self-report and facial expression data
Introduction: Emotional contagion is an essential and prevalent emotional process in social interaction and comprises the transmission of emotions between two or more individuals. The vast majoriy of prior research explored the emotional contagion in face-to-face human interaction. The present study explored the degree to which emotional contagion occurs in dyadic online video conferences, using subjective […] -
Assessing ECG Interpretation Expertise in Medical Practitioners Through Eye Movement Data and Neuromorphic Models
This study introduces an innovative method for assessing ECG interpretation abilities in medical professionals via eye-tracking data. We examine eye movement patterns from five separate groups of cardiology practitioners utilizing a combination of neuromorphic computing models, including Spiking Neural Networks (SNN), Spiking Convolutional Neural Networks (SCNN), Recurrent Spiking Neural Networks (RSNN), and Spiking Convolutional Long […] -
Multimodal Analysis of Learning-Centered Emotions and Cognitive Processes in Open-Ended Learning Environments
Self-Regulated Learning (SRL) is a multifaceted process encompassing cognitive, affective, metacognitive, and motivational components. Understanding the interplay of these components, particularly emotions, is crucial for fostering effective learning behaviors. This study addresses the challenge of recognizing Learning-Centered Emotions (LCEs) in educational settings by reannotating the DAiSEE dataset (a dataset for learning-centric emotion with Indian students) […] -
Do you remember? Consumer reactions to health-related information on snacks in repeated exposure
Health-related information on pre-packed food products can enhance purchase intention and healthy choices. However, retained positive influence of health-related information on product liking is necessary to help consumers make informed decisions about a healthy diet in the long term. According to information-reduction theory, consumers reduce the amount of information that is processed in repeated exposure. […] -
Using Dynamic Structural Equation Models for Analysing Intensive Longitudinal Data from Online Measures in Education
This chapter presents structural equation models (SEM) to analyse the dynamics of intensive longitudinal data nested in individuals obtained in online measures in educational research. We introduce multi-level SEM under the Bayesian statistical framework, including testing for stationarity, model and prior specification, model evaluation, and presentation of the findings. We then illustrate the approach with […] -
Moveable Älıpbi: Design of Montessori-Based Child-Robot Interaction for Long-Term Alphabet Learning
Kazakhstan has adopted an alphabet reform and is planning to fully transition the Kazakh alphabet from Cyrillic to Latin script by 2031. This places young learners at a significant disadvantage, creating unwanted challenges to early and continuous literacy development and acquisition of the new script. In light of the alphabet transition, there appears a need […] -
Determinants of Choosing an Online Cosmetics Store: An Eye-Tracking Study on the Impact of Website Aesthetics on Purchase Decisions
Purpose: This study investigates key factors influencing consumer decisions when selecting online cosmetics stores, focusing on the impact of website aesthetics and user experience (UX). It examines how visual and functional website elements affect purchasing behavior through an eye-tracking study across three cosmetics websites, combining quantitative eyetracking data with qualitative user feedback.Design/Methodology/Approach: The research confirmed […] -
How to accurately measure attention to video advertising
Attention has been proposed as a replacement for ratings to better measure advertising exposure quality. Attention measurement suppliers, who are key stakeholders in this proposed shift, have primarily used eye tracking to assess how people pay attention to ads. However, other literature-supported physiological measures may be beneficial or superior for measuring attention to advertising (e.g. […] -
See It, Feel It, Want It. Neural Correlates of Perspective Taking in Advertising: an EEG Pilot Study
A deep understanding of the cognitive and emotional mechanisms underlying the perception of advertising stimuli is critical to optimizing the effectiveness of brands’ marketing campaigns. Recently, the use of neuroscientific tools such as electroencephalography (EEG), has shown great potential in measuring those processes otherwise inaccessible through traditional methodologies. Although well-established EEG metrics already exist in […] -
Exploring Eye Tracking to Detect Cognitive Load in Complex Virtual Reality Training
Virtual Reality (VR) has been a beneficial training tool in fields such as advanced manufacturing. However, users may experience a high cognitive load due to various factors, such as the use of VR hardware or tasks within the VR environment. Studies have shown that eye-tracking has the potential to detect cognitive load, but in the […]
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