"The Syncretic Effect of Dual-Source Data on Affective Computing in Onl" by Xuesong Zhai, Jiaqi Xu et al.
Affective computing (AC) has been regarded as a relevant approach to identifying online learners’ mental states and predicting their learning performance. Previous research mainly used one single-source data set, typically learners’ facial expression, to compute learners’ affection. However, a single facial expression may represent different affections in various head poses. This study proposed a dual-source data approach to solve the problem. Facial expression and head pose are two typical data sources that can be captured from online learning videos. The current study collected a dual-...
Source: uow.edu.au