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 …

The sample size matters: to what extent the participant reduction affects the outcomes of a neuroscientific research. A case-study in neuromarketing field

A Vozzi, V Ronca, P Aricò, G Borghini, N Sciaraffa… - Sensors, 2021 - mdpi.com
The sample size is a crucial concern in scientific research and even more in behavioural
neurosciences, where besides the best practice it is not always possible to reach large …

Subject-specific cognitive workload classification using EEG-based functional connectivity and deep learning

A Gupta, G Siddhad, V Pandey, PP Roy, BG Kim - Sensors, 2021 - mdpi.com
Cognitive workload is a crucial factor in tasks involving dynamic decision-making and other
real-time and high-risk situations. Neuroimaging techniques have long been used for …

A neuroergonomic approach fostered by wearable EEG for the multimodal assessment of drivers trainees

G Di Flumeri, A Giorgi, D Germano, V Ronca, A Vozzi… - Sensors, 2023 - mdpi.com
When assessing trainees' progresses during a driving training program, instructors can only
rely on the evaluation of a trainee's explicit behavior and their performance, without having …

EEG-based index for timely detecting user's drowsiness occurrence in automotive applications

G Di Flumeri, V Ronca, A Giorgi, A Vozzi… - Frontiers in Human …, 2022 - frontiersin.org
Human errors are widely considered among the major causes of road accidents.
Furthermore, it is estimated that more than 90% of vehicle crashes causing fatal and …

Neurophysiological mental fatigue assessment for developing user-centered Artificial Intelligence as a solution for autonomous driving

A Giorgi, V Ronca, A Vozzi, P Aricò… - Frontiers in …, 2023 - frontiersin.org
The human factor plays a key role in the automotive field since most accidents are due to
drivers' unsafe and risky behaviors. The industry is now pursuing two main solutions to deal …

What's on your mind? a mental and perceptual load estimation framework towards adaptive in-vehicle interaction while driving

A Gomaa, A Alles, E Meiser, LH Rupp, M Molz… - Proceedings of the 14th …, 2022 - dl.acm.org
Several researchers have focused on studying driver cognitive behavior and mental load for
in-vehicle interaction while driving. Adaptive interfaces that vary with mental and perceptual …

[PDF][PDF] HP Omnicept cognitive load database (HPO-CLD)–developing a multimodal inference engine for detecting real-time mental workload in VR

EH Siegel, J Wei, A Gomes, M Oliviera… - HP Labs, 2021 - researchgate.net
1.1 Cognitive load. In scientific terms, the amount of mental effort required to perform a task
or learn something new, often called cognitive load, and has been studied by researchers …

Cross-task cognitive workload recognition using a dynamic residual network with attention mechanism based on neurophysiological signals

Z Ji, J Tang, Q Wang, X Xie, J Liu, Z Yin - Computer methods and programs …, 2023 - Elsevier
Abstract Background and Objective Evaluation of human cognitive workload (CW) helps
improve the user experience of human-centered systems. To provide a continuous …

Joint analysis of eye blinks and brain activity to investigate attentional demand during a visual search task

N Sciaraffa, G Borghini, G Di Flumeri, F Cincotti… - Brain Sciences, 2021 - mdpi.com
In several fields, the need for a joint analysis of brain activity and eye activity to investigate
the association between brain mechanisms and manifest behavior has been felt. In this …