Machine learning and its subfield deep learning techniques provide opportunities for the
development of operator mental state monitoring, especially for cognitive workload …

Driver workload (DWL) is an important factor that needs to be considered in the study of
traffic safety. The research focus on DWL has undergone certain shifts with the rapid …

Currently, mental stress is a common social problem affecting people. Stress reduces
human functionality during routine work and may lead to severe health defects. Detecting …

Abstract Background and Objective: The cognitive workload is an important component in
performance psychology, ergonomics, and human factors. Publicly available datasets are …

The matching of cognitive load and working memory is the key for effective learning, and
cognitive effort in the learning process has nervous responses which can be quantified in …

Regarding cognitive workload recognition (CWR), electroencephalography (EEG) signals
are nonstationary across time and vary from different subjects, thus hindering the cross …

Understanding learners' emotions can help optimize instruction sand further conduct
effective learning interventions. Most existing studies on student emotion recognition are …

The human-centered design (HCD) approach places humans at the center of design in
order to improve both products and processes, and to give users an effective, efficient and …

Many studies have been carried out related to the analysis of cognitive workload
assessment using the N-back task. However, fixed analytic functions like time-frequency …

The use of multimedia learning is increasing in modern education. On the other hand, it is
crucial to design multimedia contents that impose an optimal amount of cognitive load …