The issue of how to make embodied agents explainable has experienced a surge of interest
over the past 3 years, and there are many terms that refer to this concept, such as …

This article reviews two main approaches to human control of AI systems: supervisory
human control and human–machine teaming. It explores how each approach defines and …

Aomation has become prevalent in the everyday lives of humans. However, despite
significant technological advancements, human supervision and intervention are still …

In this paper, we present a framework for trust-aware sequential decision-making in a
human-robot team wherein the human agent's trust in the robotic agent is dependent on the …

This paper examines the effect of real-time, personalized alignment of a robot's reward
function to the human's values on trust and team performance. We present and compare …

Autonomous systems that can assist humans with increasingly complex tasks are becoming
ubiquitous. Moreover, it has been established that a human's decision to rely on such …

In this paper, we establish a partially observable Markov decision process (POMDP) model
framework that captures dynamic changes in human trust and workload for contexts that …

Trust model is a topic that first gained interest in organizational studies and then human
factors in automation. Thanks to recent advances in human-robot interaction (HRI) and …

Transformer, a deep learning technology, has achieved great success in various
applications such as natural language processing. However, its space–time consumption …

Optimal performance of collaborative tasks requires consideration of the interactions
between socially intelligent agents, such as social robots, and their human counterparts. The …