Transitioning to human interaction with AI systems: New challenges and opportunities for HCI professionals to enable human-centered AI
While AI has benefited humans, it may also harm humans if not appropriately developed.
The priority of current HCI work should focus on transiting from conventional human …
The priority of current HCI work should focus on transiting from conventional human …
EEG power spectral measures of cognitive workload: A meta‐analysis
S Chikhi, N Matton, S Blanchet - Psychophysiology, 2022 - Wiley Online Library
Cognitive workload (CWL) is a fundamental concept in the assessment and monitoring of
human performance during cognitive tasks. Numerous studies have attempted to objectively …
human performance during cognitive tasks. Numerous studies have attempted to objectively …
[HTML][HTML] Best practices for fNIRS publications
The application of functional near-infrared spectroscopy (fNIRS) in the neurosciences has
been expanding over the last 40 years. Today, it is addressing a wide range of applications …
been expanding over the last 40 years. Today, it is addressing a wide range of applications …
[HTML][HTML] Optical imaging and spectroscopy for the study of the human brain: status report
This report is the second part of a comprehensive two-part series aimed at reviewing an
extensive and diverse toolkit of novel methods to explore brain health and function. While …
extensive and diverse toolkit of novel methods to explore brain health and function. While …
A neuroergonomics approach to mental workload, engagement and human performance
The assessment and prediction of cognitive performance is a key issue for any discipline
concerned with human operators in the context of safety-critical behavior. Most of the …
concerned with human operators in the context of safety-critical behavior. Most of the …
Attention: Theory, principles, models and applications
C Wickens - International Journal of Human–Computer Interaction, 2021 - Taylor & Francis
We discuss two general concepts of attention:(1) As a filter of selective attention that selects
and admits channels of information from the environment to be processed;(2) as a resource …
and admits channels of information from the environment to be processed;(2) as a resource …
[图书][B] Applied attention theory
CD Wickens, JS McCarley, RS Gutzwiller - 2022 - taylorfrancis.com
Applied Attention Theory, Second Edition provides details concerning the relevance of all
aspects of attention to the world beyond the laboratory. Topic application areas include the …
aspects of attention to the world beyond the laboratory. Topic application areas include the …
Applications of EEG indices for the quantification of human cognitive performance: A systematic review and bibliometric analysis
LE Ismail, W Karwowski - Plos one, 2020 - journals.plos.org
Background Neuroergonomics combines neuroscience with ergonomics to study human
performance using recorded brain signals. Such neural signatures of performance can be …
performance using recorded brain signals. Such neural signatures of performance can be …
A graph theory-based modeling of functional brain connectivity based on EEG: a systematic review in the context of neuroergonomics
LE Ismail, W Karwowski - Ieee Access, 2020 - ieeexplore.ieee.org
Graph theory analysis, a mathematical approach, has been applied in brain connectivity
studies to explore the organization of network patterns. The computation of graph theory …
studies to explore the organization of network patterns. The computation of graph theory …
Modern machine-learning algorithms: for classifying cognitive and affective states from electroencephalography signals
Estimating cognitive or affective states from brain signals is a key but challenging step in
creating passive brain-computer interface (BCI) applications. So far, estimating mental …
creating passive brain-computer interface (BCI) applications. So far, estimating mental …