This paper provides a comprehensive review of the current status, advancements, and future
prospects of humanoid robots, highlighting their significance in driving the evolution of next …

AI can make mistakes and cause unfavorable consequences. It is important to know how
people react to such AI-driven negative consequences and subsequently evaluate the …

Trust in automation is a foundational principle in Human Factors Engineering. An
understanding of trust can help predict and alter much of human-machine interaction (HMI) …

As social robots are increasingly designed with sophisticated simulations of human skills, it
becomes essential to understand boundary conditions of people's engagement of them as …

We used the folk theory perspective to investigate Internet users' understanding of
algorithms during their Internet use. Empirically, we conducted a mixed-method study. First …

While natural language systems continue improving, they are still imperfect. If a user has a
better understanding of how a system works, they may be able to better accomplish their …

Virtual personal assistants (VPAs) are becoming so widely available that considerations are
being made as to whether to begin including them in self-driving vehicles. While research …

The physical design of a robot suggests expectations of that robot's functionality for human
users and collaborators. When those expectations align with the robot's true capabilities …

Mentalizing is the process of inferencing others, mental states and it contributes to an
inferential system known as Theory of Mind (ToM)—a system that is critical to human …

In playing videogames, players often create avatars as extensions of agency into those
spaces, where the player-avatar relationship (PAR) both shapes gameplay and is the …