The validity of physiological measures to identify differences in intrinsic cognitive load

P Ayres, JY Lee, F Paas… - Frontiers in …, 2021 - frontiersin.org
A sample of 33 experiments was extracted from the Web-of-Science database over a 5-year
period (2016–2020) that used physiological measures to measure intrinsic cognitive load …

Physiological-based driver monitoring systems: A scoping review

SFA Razak, S Yogarayan, AA Aziz… - Civil Engineering …, 2022 - civilejournal.org
A physiological-based driver monitoring system (DMS) has attracted research interest and
has great potential for providing more accurate and reliable monitoring of the driver's state …

A multilayer stacking method base on RFE-SHAP feature selection strategy for recognition of driver's mental load and emotional state

J Huang, Y Peng, L Hu - Expert Systems with Applications, 2024 - Elsevier
The driver state monitoring is becoming one of the research hotspots in the field of traffic and
vehicle safety, which can ensure driving safety by monitoring the driver's state. Therefore …

A systematic review of in-vehicle physiological indices and sensor technology for driver mental workload monitoring

AK Sriranga, Q Lu, S Birrell - Sensors, 2023 - mdpi.com
The concept of vehicle automation ceases to seem futuristic with the current advancement of
the automotive industry. With the introduction of conditional automated vehicles, drivers are …

Towards an emotionally augmented metaverse: a framework for recording and analysing physiological data and user behaviour

L Angelini, M Mecella, HN Liang, M Caon… - 13th augmented human …, 2022 - dl.acm.org
Several big tech companies are currently eager of building the metaverse, mainly through
virtual reality experiences. Albeit immersive, in shared virtual environments it might be …

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 …

[HTML][HTML] Physiological indicators of driver workload during car-following scenarios and takeovers in highly automated driving

V Radhakrishnan, N Merat, T Louw… - … research part F: traffic …, 2022 - Elsevier
This driving simulator study, conducted as a part of Horizon2020-funded L3Pilot project,
investigated how different car-following situations affected driver workload, within the context …

An analysis of physiological responses as indicators of driver takeover readiness in conditionally automated driving

M Deng, A Gluck, Y Zhao, D Li, CC Menassa… - Accident Analysis & …, 2024 - Elsevier
By the year 2045, it is projected that Autonomous Vehicles (AVs) will make up half of the
new vehicle market. Successful adoption of AVs can reduce drivers' stress and fatigue, curb …

The association between physiological and eye-tracking metrics and cognitive load in drivers: A meta-analysis

A Wang, C Huang, J Wang, D He - … Research Part F: Traffic Psychology and …, 2024 - Elsevier
Driving performance can be impaired by a high cognitive load of drivers. Thus, it is important
to estimate drivers' cognitive load. Although physiological and eye-tracking metrics have …

A contextual multimodal system for increasing situation awareness and takeover quality in conditionally automated driving

M Capallera, Q Meteier, E De Salis, M Widmer… - IEEE …, 2023 - ieeexplore.ieee.org
Advanced driver assistances are becoming increasingly common in commercial cars, not
only to assist but also to free drivers from manual driving whenever possible. Soon, drivers …