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

arXiv:2403.09451v1 Announce Type: new
Abstract: 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 integrates audiovisual cues through a dual-pathway architecture, featuring specialized streams for audio and video inputs. A key innovation lies in its cross-modality multihead attention mechanism, fusing the different modalities for synchronized multitasking. Another notable feature is the model's three specialized branches, each tailored to a specific cognitive load label, enabling nuanced, task-specific …

abstract architecture arxiv assessment audio cognitive cs.cv cs.mm cs.sd dataset eess.as framework innovation inputs key lies multimodal multitask learning novel paper through type video