Automatically Detecting Confusion and Conflict During Collaborative Learning Using Linguistic, Prosodic, and Facial Cues

Y Ma, Y Song, M Celepkolu, KE Boyer, E Wiebe… - arXiv preprint arXiv …, 2024 - arxiv.org
During collaborative learning, confusion and conflict emerge naturally. However, persistent
confusion or conflict have the potential to generate frustration and significantly impede …

Multi-Modal Affective Computing: An Application in Teaching Evaluation Based on Combined Processing of Texts and Images.

S Wang, Y Zhai, G Xu, N Wang - Traitement du Signal, 2023 - search.ebscohost.com
Conventional teaching evaluation emphasizes students' knowledge mastery over their
affections. Multi-modal Affective Computing (MAC) can analyze versatile information of …

Expanding the Role of Affective Phenomena in Multimodal Interaction Research

L Mathur, M Mataric, LP Morency - Proceedings of the 25th International …, 2023 - dl.acm.org
In recent decades, the field of affective computing has made substantial progress in
advancing the ability of AI systems to recognize and express affective phenomena, such as …

Unveiling Neurophysiological Signatures of Interaction in Immersive Worlds: A Multimodal Study

AA Prasad - 2024 - search.proquest.com
This thesis uses a controlled experimental design to assess the impact of different VR
scenarios, this thesis explores the psychological, physiological and Neurophysiological …