M&M: Multimodal-Multitask Model Integrating Audiovisual Cues in Cognitive Load Assessment

L Nguyen-Phuoc, R Gaboriau, D Delacroix… - arXiv preprint arXiv …, 2024 - arxiv.org
This paper introduces the M&M model, a novel multimodal-multitask learning framework,
applied to the AVCAffe dataset for cognitive load assessment (CLA). M&M uniquely …

Comparative analysis of machine learning techniques in assessing cognitive workload

C Elkin, V Devabhaktuni - … and Cognitive Engineering: Proceedings of the …, 2020 - Springer
Cognitive workload refers to the amount of mental capacity that is stored in working memory
and remains a vital yet challenging aspect of many human factors applications. This paper …

MMA-Net: A Multimodal Multitask Network Utilizing Dual Attention Mechanisms for Enhanced Modality Fusion and Task Exchange in Cognitive Load Assessment

L Nguyen-Phuoc, R Gaboriau, D Delacroix, L Navarro - 2024 - researchsquare.com
In this paper, we introduce the Multimodal Multitask Dual Attention Network (MMA-Net), a
novel neural architecture tailored for simultaneous multimodal and multitask learning. MMA …

Analysis of alternatives for neural network training techniques in assessing cognitive workload

C Elkin, V Devabhaktuni - … and Cognitive Engineering: Proceedings of the …, 2019 - Springer
Cognitive workload serves as a vital component in many human factors applications.
Furthermore, the ability to make assessments, classifications, and predictions of mental load …

Cognitive workload classification with psychophysiological signals for monitoring in safety critical situations

EH Magnúsdottir - 2019 - opinvisindi.is
Monitoring cognitive workload has the potential to improve both performance and fidelity of
individuals facing safety-critical situations in their working environments …