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Gaze entropy metrics for mental workload estimation are heterogenous during hands-off level 2 automation
As the level of vehicle automation increases, drivers are more likely to engage in non-driving
related tasks which take their hands, eyes, and/or mind away from the driving task …
related tasks which take their hands, eyes, and/or mind away from the driving task …
Kee** in the lane! Investigating drivers' performance handling silent vs. alerted lateral control failures in monotonous partially automated driving
This study investigated how drivers can manage the take-over when silent or alerted failure
of automated lateral control occurs after monotonous hands-off driving with partial …
of automated lateral control occurs after monotonous hands-off driving with partial …
[HTML][HTML] The notorious BIT: the effects of a ransomware and a screen failure on distraction in automated driving
Connected and automated vehicles are vulnerable to cyber-attacks, which may jeopardise
their safe and efficient operation and, as a result, negatively affect drivers' behaviour. A …
their safe and efficient operation and, as a result, negatively affect drivers' behaviour. A …
A Bayesian regression analysis of the effects of alert presence and scenario criticality on automated vehicle takeover performance
Objective This study investigates the impact of silent and alerted failures on driver
performance across two levels of scenario criticality during automated vehicle transitions of …
performance across two levels of scenario criticality during automated vehicle transitions of …
Failures in driving automation systems: Definitions, taxonomy, and prevention mechanisms
SC Roberts - Journal of Cognitive Engineering and Decision …, 2024 - journals.sagepub.com
Skraaning and Jamieson's (2023) article defines, provides examples, and offers a taxonomy
for automation failures. They also invite others to apply their concepts to other domains …
for automation failures. They also invite others to apply their concepts to other domains …
Modelling drivers' adaptation to assistance systems
Human factors research and engineering of advanced driving assistance systems (ADAS)
must consider how drivers adapt to their presence. The major obstruction to this at the …
must consider how drivers adapt to their presence. The major obstruction to this at the …
Active Inference Models of AV Takeovers: Relating Model Parameters to Trust, Situation Awareness, and Fatigue
Objective Our objectives were to assess the efficacy of active inference models for capturing
driver takeovers from automated vehicles and to evaluate the links between model …
driver takeovers from automated vehicles and to evaluate the links between model …
Is my AV crashing? An online photo-based experiment assessing whether shared intended pathway can help AV drivers anticipate silent failures
The shared responsibility between conditional AVs drivers demands shared understanding.
Thus, a shared intended pathway (SIP)—a graphical display of the AV's planned …
Thus, a shared intended pathway (SIP)—a graphical display of the AV's planned …
Shared intention and shared awareness for conditional automated driving: An online, randomized video experiment
Objectives In conditional automation for automated vehicles (AVs), drivers are tasked with
remaining vigilant and ready to assume control should the system encounter a malfunction …
remaining vigilant and ready to assume control should the system encounter a malfunction …
[HTML][HTML] How to keep drivers attentive during Level 2 automation? Development and evaluation of an HMI concept using affective elements and message framing
T Hecht, W Zhou, K Bengler - Safety, 2022 - mdpi.com
With Level 3 and 4 automated driving activated, users will be allowed to engage in a wide
range of non-driving related activities (NDRAs). Although Level 2 automation can appear …
range of non-driving related activities (NDRAs). Although Level 2 automation can appear …