Automatically Detecting Confusion and Conflict During Collaborative Learning Using Linguistic, Prosodic, and Facial Cues
During collaborative learning, confusion and conflict emerge naturally. However, persistent
confusion or conflict have the potential to generate frustration and significantly impede …
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 …
affections. Multi-modal Affective Computing (MAC) can analyze versatile information of …
Expanding the Role of Affective Phenomena in Multimodal Interaction Research
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 …
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 …
scenarios, this thesis explores the psychological, physiological and Neurophysiological …