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 …

Climate change is one of the greatest challenges facing humanity, and we, as machine
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …

Vehicle control is one of the most critical challenges in autonomous vehicles (AVs) and
connected and automated vehicles (CAVs), and it is paramount in vehicle safety, passenger …

Interest in autonomous vehicles (AVs) is growing at a rapid pace due to increased
convenience, safety benefits and potential environmental gains. Although several leading …

Objective The objectives of this meta-analysis are to explore the presently available
empirical findings on the antecedents of trust in robots and use this information to expand …

Challenged by urbanization and increasing travel needs, existing transportation systems
need new mobility paradigms. In this article, we present the emerging concept of …

Objective The present meta-analysis sought to determine significant factors that predict trust
in artificial intelligence (AI). Such factors were divided into those relating to (a) the human …

Human mental workload is arguably the most invoked multidimensional construct in Human
Factors and Ergonomics, getting momentum also in Neuroscience and Neuroergonomics …

Meeting climate mitigation goals would require transformative changes in the transport
sector (high confidence). In 2019, direct greenhouse gas (GHG) emissions from the transport …

By enabling autonomous vehicles (AVs) to share data while driving, 5G vehicular
communications allow AVs to collaborate on solving common autonomous driving tasks …