Brain-computer interface: Advancement and challenges

MF Mridha, SC Das, MM Kabir, AA Lima, MR Islam… - Sensors, 2021 - mdpi.com
Brain-Computer Interface (BCI) is an advanced and multidisciplinary active research domain
based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the …

A review of eye-tracking applications as tools for training

JL Rosch, JJ Vogel-Walcutt - Cognition, technology & work, 2013 - Springer
Substantial literature exists regarding how eye-tracking systems can be used to measure
cognitive load and how these measurements can be useful for adapting training in real time …

EEG-based prediction of cognitive load in intelligence tests

N Friedman, T Fekete, K Gal, O Shriki - Frontiers in human …, 2019 - frontiersin.org
Measuring and assessing the cognitive load associated with different tasks is crucial for
many applications, from the design of instructional materials to monitoring the mental well …

Towards an affordable brain computer interface for the assessment of programmers' mental workload

MV Kosti, K Georgiadis, DA Adamos, N Laskaris… - International Journal of …, 2018 - Elsevier
This paper provides a proof of concept for the use of wearable technology, and specifically
wearable Electroencephalography (EEG), in the field of Empirical Software Engineering …

Explicit and implicit antecedents of users' behavioral beliefs in information systems: A neuropsychological investigation

AO de Guinea, R Titah, PM Léger - Journal of Management …, 2014 - Taylor & Francis
Behavioral beliefs—perceived usefulness and perceived ease of use—have been identified
as the most influential antecedents of individuals' information systems use intentions and …

Understanding programming expertise: an empirical study of phasic brain wave changes

I Crk, T Kluthe, A Stefik - ACM Transactions on Computer-Human …, 2015 - dl.acm.org
Recent decades have seen a resurgence of interest in electroencephalography (EEG), as
neuroscience develops new models of cognition and refines old ones, associating them with …

Gaussian process regression for predictive but interpretable machine learning models: An example of predicting mental workload across tasks

MS Caywood, DM Roberts, JB Colombe… - Frontiers in human …, 2017 - frontiersin.org
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 …

Performance measurement for brain–computer or brain–machine interfaces: a tutorial

DE Thompson, LR Quitadamo, L Mainardi… - Journal of neural …, 2014 - iopscience.iop.org
Objective. Brain–computer interfaces (BCIs) have the potential to be valuable clinical tools.
However, the varied nature of BCIs, combined with the large number of laboratories …

Cognitive behavior evaluation based on physiological parameters among young healthy subjects with yoga as intervention

H Nagendra, V Kumar… - … mathematical methods in …, 2015 - Wiley Online Library
Objective. To investigate the effect of yoga practice on cognitive skills, autonomic nervous
system, and heart rate variability by analyzing physiological parameters. Methods. The study …

Overview of measurement methods for factors affecting the human visual system in 3D displays

MC Park, S Mun - Journal of Display Technology, 2015 - opg.optica.org
Three-dimensional (3D) display systems are widely used nowadays, and their
psychophysiological effects on human health have been investigated in detail. However …