How does drivers' trust in vehicle automation affect non-driving-related task engagement, vigilance, and initiative takeover performance after experiencing system …

H Pan, K Xu, Y Qin, Y Wang - … research part F: traffic psychology and …, 2023 - Elsevier
Vehicle automation is a potentially highly advantageous concept in terms of reducing traffic
accidents, eg, due to distractions by non-driving related tasks (NDRTs) or decreased …

[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 …

Driving with black box assistance: Teleoperated driving interface design guidelines for computational driver assistance systems in unstructured environments

H Yun, Y Cho, A Ha, J Yun - … of the 15th International Conference on …, 2023 - dl.acm.org
This paper presents design guidelines for teleoperated driving interfaces within
computational driver assistance systems for unstructured environments. The purpose of the …

Why do drivers resist the use of partial automation features? A perspective from psychological reactance theory

Y Zhang, H Gong, C Zheng - … Research Part F: Traffic Psychology and …, 2024 - Elsevier
Autonomous vehicles equipped with automation driving assistance features are attracting
significant public attention for their safety, innovation, and efficiency. While existing research …

[HTML][HTML] A transparency paradox? Investigating the impact of explanation specificity and autonomous vehicle imperfect detection capabilities on passengers

D Omeiza, R Bhattacharyya, M Jirotka, N Hawes… - … Research Part F: Traffic …, 2025 - Elsevier
Transparency in automated systems could be afforded through the provision of intelligible
explanations. While transparency is desirable, might it lead to catastrophic outcomes (such …

Perceived risk and acceptance of automated vehicles users to unexpected hazard situations in real driving conditions

E Pérez-Moreno, JE Naranjo… - Behaviour & …, 2025 - Taylor & Francis
The decision-making systems in highly automated vehicles use artificial intelligence (AI)
techniques to replicate human-like behaviour in driving. However, when studying the …

Trust and blame in self-driving cars following a successful cyber attack

V Marcinkiewicz, PL Morgan - International Conference on Human …, 2023 - Springer
Even as our ability to counter cyber attacks improves, it is inevitable that threat actors may
compromise a system through either exploited vulnerabilities and/or user error. Aside from …

A Transparency Paradox? Investigating the Impact of Explanation Specificity and Autonomous Vehicle Perceptual Inaccuracies on Passengers

D Omeiza, R Bhattacharyya, M Jirotka, N Hawes… - arXiv preprint arXiv …, 2024 - arxiv.org
Transparency in automated systems could be afforded through the provision of intelligible
explanations. While transparency is desirable, might it lead to catastrophic outcomes (such …

Risk and safety-based behavioural adaptation towards automated vehicles: emerging advances, effects, challenges and techniques

NY Mbelekani, K Bengler - International Congress on Information and …, 2024 - Springer
Automation systems, artificial intelligence (AI) and intelligent systems (IS) are a trendy topic
in the automated vehicle (AV) domain. Numerous partial AV (pAV) and imminent conditional …

Can Pupillometry be used to Detect Driver Hazard Awareness?

K Tamura, J Gideon, S Stent… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Modern Advanced Driver-Assistance Systems (ADAS) increasingly rely on interactions
between vehicle and human driver. To inform these interactions, it is helpful for a vehicle …