Objective This paper reviews recent articles related to human trust in automation to guide
research and design for increasingly capable automation in complex work environments …

Objective: This article provides a review of empirical studies of automated vehicle takeovers
and driver modeling to identify influential factors and their impacts on takeover performance …

Objective: The aim of this study was to understand how to secure driver supervision
engagement and conflict intervention performance while using highly reliable (but not …

Objective: The objective of this paper was to outline an explanatory framework for
understanding effects of cognitive load on driving performance and to review the existing …

Waymo's mission to reduce traffic injuries and fatalities and improve mobility for all has led
us to expand deployment of automated vehicles on public roads without a human driver …

Predictive processing (PP) has been repeatedly presented as a unificatory account of
perception, action, and cognition. In this paper, we argue that this is premature: As a unifying …

The growing need for mental workload (MWL) optimization on the shop floor yields an
impressive increase in theoretical and applied references to the concept of mental workload …

Objective We present a model for visual behavior that can simulate the glance pattern
observed around driver-initiated, non-critical disengagements of Tesla's Autopilot (AP) in …

There is currently no established method for evaluating human response timing across a
range of naturalistic traffic conflict types. Traditional notions derived from controlled …

A conceptual and computational framework is proposed for modelling of human
sensorimotor control and is exemplified for the sensorimotor task of steering a car. The …