Agent transparency, situation awareness, mental workload, and operator performance: A systematic literature review

K van de Merwe, S Mallam, S Nazir - Human Factors, 2024 - journals.sagepub.com
Objective In this review, we investigate the relationship between agent transparency,
Situation Awareness, mental workload, and operator performance for safety critical domains …

Milestones in autonomous driving and intelligent vehicles—part 1: Control, computing system design, communication, hd map, testing, and human behaviors

L Chen, Y Li, C Huang, Y Xing, D Tian… - … on Systems, Man …, 2023 - ieeexplore.ieee.org
Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace
due to the convenience, safety, and economic benefits. Although a number of surveys have …

[HTML][HTML] Effects of user interfaces on take-over performance: a review of the empirical evidence

S Kim, R van Egmond, R Happee - Information, 2021 - mdpi.com
In automated driving, the user interface plays an essential role in guiding transitions
between automated and manual driving. This literature review identified 25 studies that …

Real‐Time Non‐Driving Behavior Recognition Using Deep Learning‐Assisted Triboelectric Sensors in Conditionally Automated Driving

H Zhang, H Tan, W Wang, Z Li, F Chen… - Advanced Functional …, 2023 - Wiley Online Library
Real‐time recognition of non‐driving behaviors is of great importance in conditionally
automated driving, as it determines the takeover time budget, which in turn has a huge …

How to identify the take-over criticality in conditionally automated driving? An examination using drivers' physiological parameters and situational factors

B Yi, H Cao, X Song, S Zhao, W Guo, M Li - Transportation research part F …, 2022 - Elsevier
Autonomous vehicles and advanced driver assistance technology are growing
exponentially, and vehicles equipped with conditional automation, which has features like …

[HTML][HTML] Non-driving related tasks' effects on takeover and manual driving behavior in a real driving setting: A differentiation approach based on task switching and …

E Shi, K Bengler - Accident Analysis & Prevention, 2022 - Elsevier
Many studies on effects of non-driving related tasks in the context of SAE Level 3 automated
driving have been conducted in driving simulator settings applying standardized tasks …

[HTML][HTML] Predicting perceived risk of traffic scenes using computer vision

J de Winter, J Hoogmoed, J Stapel, D Dodou… - … research part F: traffic …, 2023 - Elsevier
Perceived risk, or subjective risk, is an important concept in the field of traffic psychology and
automated driving. In this paper, we investigate whether perceived risk in images of traffic …

Speech-based takeover requests in conditionally automated driving: Effects of different voices on the driver takeover performance

Y Wang, W Zhang, R Zhou - Applied Ergonomics, 2022 - Elsevier
This study explored the possibility of applying personalized takeover requests (TORs) in an
automated driving system (ADS), which required drivers to regain control when the system …

How human-automation interaction experiences, trust propensity and dynamic trust affect drivers' physiological responses in conditionally automated driving …

B Yi, H Cao, X Song, J Wang, W Guo… - … research part F: traffic …, 2023 - Elsevier
Although the human-automation interaction experiences (ie, the takeover request [TOR] lead
time and system usage time) have been shown to play an important role in the physiological …

Measurement and real-time recognition of driver trust in conditionally automated vehicles: using multimodal feature fusions network

B Yi, H Cao, X Song, J Wang… - Transportation …, 2023 - journals.sagepub.com
Trust calibration is essential to prevent misuse and disuse of automated vehicles (AVs).
Accurate measurement and real-time identification of driver trust is an important prerequisite …