Navigating through Emotion-Cognition Interactions: Brain Oscillations of Visuo-Spatial Attention and Auditory Emotional Processing during Simulated Driving
MEG study on the interplay between cognitive workload and emotional speech during simulated driving, revealing oscillatory dynamics in the theta, alpha, and beta bands.
Oct 10, 2024
Investigating Feature Set Decisions for Mental State Decoding in Virtual Reality Based Learning Environments
This study investigates fNIRS-based feature sets for decoding mental states in VR learning, focusing on HbO and HbR features for machine learning applications.
Jun 1, 2023
Towards User-Aware VR Learning Environments: Combining Brain-Computer Interfaces with Virtual Reality for Mental State Decoding
A study combining fNIRS-based BCIs with VR to decode mental states for adaptive learning environments, focusing on working memory load and prefrontal cortex brain patterns.
Apr 1, 2023
Examining Joy of Use and Usability During Mobile Phone Interactions within a Multimodal Methods Approach
A multimodal study exploring joy of use and usability in mobile interactions using EEG, ECG, EDA, facial emotion decoding, and questionnaires.
Sep 1, 2022
Exploring Conventional, Automated and Deep Machine Learning for Electrodermal Activity-Based Drivers’ Stress Recognition
Machine learning models, including AutoML and deep learning, effectively classify drivers' stress states based on EDA data in simulated driving scenarios.
Jan 6, 2022
Real-time feedback of subjective affect and working memory load based on neurophysiological activity
A study exploring the impact of neurofeedback on users' performance and cognitive states, emphasizing the importance of feedback accuracy and transparency.
Nov 1, 2021
Investigating the Emotion-Cognition Interaction: Effects of Affective Distractors on Working Memory Load
EEG study exploring how affective auditory distractors impact working memory load and cognitive control in naturalistic settings.
Sep 1, 2021
Emotional Detours: Oscillatory Signatures of Emotion and Cognitive Load during Simulated Driving
Study exploring oscillatory signatures of emotional and cognitive load interactions during simulated driving using MEG and eyetracking.
Sep 1, 2021
What I feel and what I say: Decoding neurophysiological correlates of cognitive and affective states
Investigating decoding performance of cognitive and affective states using EEG with a focus on the impact of subjective ratings versus experimentally induced labels.
Jul 1, 2021
Neuro-adaptive tutoring systems - Neurophysiological-based recognition of affective-emotional and cognitive states of learners for intelligent neuro-adaptive tutoring systems
A study presenting neuro-adaptive tutoring systems leveraging EEG and machine learning to monitor, predict, and adapt to learners' cognitive and emotional states.
Jul 1, 2021