A review of psychophysiological measures to assess cognitive states in real-world driving

M Lohani, BR Payne, DL Strayer - Frontiers in human neuroscience, 2019 - frontiersin.org
As driving functions become increasingly automated, motorists run the risk of becoming
cognitively removed from the driving process. Psychophysiological measures may provide …

Design science and neuroscience: A systematic review of the emergent field of design neurocognition

S Balters, T Weinstein, N Mayseless, J Auernhammer… - Design Studies, 2023 - Elsevier
Highlights•Design Neurocognition aims to elucidate the “black-box” of a designer's mind
through the use of brain imaging tools.•In our systematically review, we identify 82 …

Neurophysiological evaluation of workers' decision dynamics under time pressure and increased mental demand

S Pooladvand, S Hasanzadeh - Automation in Construction, 2022 - Elsevier
Productivity demands, time pressure, and cognitively demanding construction tasks increase
workers' arousal and stress; however, it is not clear how these factors may worsen risk …

Classification of drivers' workload using physiological signals in conditional automation

Q Meteier, M Capallera, S Ruffieux, L Angelini… - Frontiers in …, 2021 - frontiersin.org
The use of automation in cars is increasing. In future vehicles, drivers will no longer be in
charge of the main driving task and may be allowed to perform a secondary task. However …

A three-class classification of cognitive workload based on EEG spectral data

M Plechawska-Wójcik, M Tokovarov, M Kaczorowska… - Applied sciences, 2019 - mdpi.com
Evaluation of cognitive workload finds its application in many areas, from educational
program assessment through professional driver health examination to monitoring the …

A systematic review on the influence factors, measurement, and effect of driver workload

J Ma, Y Wu, J Rong, X Zhao - Accident Analysis & Prevention, 2023 - Elsevier
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 …

Sensor-based indicators of performance changes between sessions during robotic surgery training

C Wu, J Cha, J Sulek, CP Sundaram, J Wachs… - Applied ergonomics, 2021 - Elsevier
Training of surgeons is essential for safe and effective use of robotic surgery, yet current
assessment tools for learning progression are limited. The objective of this study was to …

Application of artificial intelligence in cognitive load analysis using functional near-infrared spectroscopy: A systematic review

MA Khan, H Asadi, L Zhang, MRC Qazani… - Expert Systems with …, 2024 - Elsevier
Cognitive load theory suggests that overloading of working memory may negatively affect
the performance of human in cognitively demanding tasks. Evaluation of cognitive load is a …

Artificial intelligence in intracoronary imaging

R Fedewa, R Puri, E Fleischman, J Lee… - Current cardiology …, 2020 - Springer
Abstract Purpose of Review This paper investigates present uses and future potential of
artificial intelligence (AI) applied to intracoronary imaging technologies. Recent Findings …

A methodological review of fNIRS in driving research: Relevance to the future of autonomous vehicles

S Balters, JM Baker, JW Geeseman… - Frontiers in human …, 2021 - frontiersin.org
As automobile manufacturers have begun to design, engineer, and test autonomous driving
systems of the future, brain imaging with functional near-infrared spectroscopy (fNIRS) can …