ArticleFrontiers in psychology2022
Emotional Activity Is Negatively Associated With Cognitive Load in Multimedia Learning: A Case Study With EEG Signals.
Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Ratio Indexes Based on Spectral Electroencephalographic Brainwaves for Assessment of Mental Involvement: A Systematic Review.Sensors (Basel, Switzerland) · 2023Pooled it
- The impact of emotional value in digital teaching resources on learning motivation-an empirical analysis based on a questionnaire survey.Frontiers in psychology · 2026Article
- Mapping EEG Metrics to Human Affective and Cognitive Models: An Interdisciplinary Scoping Review from a Cognitive Neuroscience Perspective.Biomimetics (Basel, Switzerland) · 2025Review
- Linking air pollution appraisal to EFL teachers' negative emotion via mental effort: the moderating role of working memory capacity.Frontiers in psychology · 2025Article
- The impact of postpartum anemia on cognitive function: a study using 3D video game-based assessment of reaction times in women.Frontiers in psychology · 2025Article
- From E-Commerce to the Metaverse: A Neuroscientific Analysis of Digital Consumer Behavior.Behavioral sciences (Basel, Switzerland) · 2024Article
- Enhancing EEG-based attachment style prediction: unveiling the impact of feature domains.Frontiers in psychology · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We aimed to investigate the relationship between emotional activity and cognitive load during multimedia learning from an emotion dynamics perspective using electroencephalography (EEG) signals. Using a between-subjects design, 42 university students were randomly assigned to two video lecture conditions (color-coded vs. grayscale). While the participants watched the assigned video, their EEG signals were recorded. After processing the EEG signals, we employed the correlation-based feature selector (CFS) method to identify emotion-related subject-independent features. We then put these features into the Isomap model to obtain a one-dimensional trajectory of emotional changes. Next, we used the zero-crossing rate (ZCR) as the quantitative characterization of emotional changes
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.