As human-machine teams become a more common scenario, we need to ensure mutual
trust between humans and machines. More important than having trust, we need all …

As intelligent agents are becoming human's teammates, not only do humans need to trust
intelligent agents, but an intelligent agent should also be able to form artificial trust, ie a …

Mutual trust is considered a required coordinating mechanism for achieving effective
teamwork in human teams. However, it is still a challenge to implement such mechanisms in …

Agents' roles in our lives increasingly matter as they engage with people in a variety of
important tasks. To achieve successful human-agent teamwork, it is critical to know the …

In teams composed of humans, we use trust in others to make decisions, such as what to do
next, who to help and who to ask for help. When a team member is artificial, they should also …

There has been a great deal of research examining trust in human-agent teaming. However,
the majority of this research has focused on a human-agent dyad with low-interdependency …

Trust is a central element for effective teamwork and successful human-technology
collaboration. Although technologies, such as agents, are increasingly becoming …

Increasingly, automated systems are being incorporated in collaborative environments
where they are used to alleviate the cognitive load of human operators while increasing task …

This position paper proposes the machine education concept, a novel point of view for
enabling trust capabilities in machine agents in the context of human-machine teaming, via …

Several computational models have been proposed to quantify trust and its relationship to
other system variables. However, these models are still under-utilised in human-machine …