Wearable devices are an emerging technological tool in the field of learning analytics. With
the help of wearable technologies, an increasing number of scholars have a strong interest …

Background: Although many electroencephalographic (EEG) indicators have been
proposed in the literature, it is unclear which of the power bands and various indices are …

Implementing psychophysiological measures is a worthwhile approach for understanding
human reaction to robot presence in terms of individual emotional state. This paper reviews …

According to Cognitive Load Theory (CLT), one of the crucial factors for successful learning
is the type and amount of working-memory load (WML) learners experience while studying …

Passive brain-computer interaction (BCI) can provide useful information to understand a
user's state and anticipate intentions, which is needed to support adaptivity and …

There is increasing interest in real-time brain-computer interfaces (BCIs) for the passive
monitoring of human cognitive state, including cognitive workload. Too often, however …

Current learning technologies have no direct way to assess students' mental effort: are they
in deep thought, struggling to overcome an impasse, or are they zoned out? To address this …

The study goal was to evaluate whether Electroencephalography (EEG) estimates of
attention and cognitive workload captured as students solved math problems could be used …

We investigated whether a passive brain–computer interface that was trained to distinguish
low and high mental workload in the electroencephalogram (EEG) can be used to identify …

This paper presents the concept of Cognitive Human-Machine Interfaces and Interactions
(CHMI 2) for Unmanned Aircraft System (UAS) Ground Control Stations (GCS). CHMI 2 …