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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. […] -
Unveiling the ‘Face’ of Chairs through Eye-Tracking in Architectural Spaces
The history of chairs is ancient, and there are numerous examples of highly developed constructions that dates back several thousands of years. In particular, the Egyptian burial finds have contributed to a rich and broad understanding of ancient furniture culture (Svarth, 2019). Despite its long history, the expression of the chair is surprisingly stable due […] -
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 […] -
Heterogeneity and Emotional Perceptions of the Labelling of Accommodation Services in Tourism
The labelling of tourism accommodation services profoundly influences consumer behaviour and decision-making processes. Many consumers view labelling as a subjective assurance of the quality of services provided and are willing to pay a premium on the basis of the level of quality indicated by these labels. This paper’s main goal is to highlight the critical […] -
Explicit metrics for implicit emotions: investigating physiological and gaze indices of learner emotions
Learning experiences are intertwined with emotions, which in turn have a significant effect on learning outcomes. Therefore, digital learning environments can benefit from taking the emotional state of the learner into account. To do so, the first step is real-time emotion detection which is made possible by sensors that can continuously collect physiological and eye-tracking […] -
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 […] -
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 […] -
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. […] -
Impact of Message Framing and Team Identification on Pro-Social Behavior in Sport Team Charity Campaigns: Insights from Facial Expression and Eye-Tracking Analysis
This research investigates the effectiveness of positive versus negative message framing in charitable messages on sport team Twitter accounts. Employing facial expression and eye-tracking analysis, the study aims to: 1) assess the influence of the emotional appeals on prosocial behaviors, 2) identify their actual viewing behaviors on the charitable messages, and 3) explore the role […]
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