As teams of people increasingly incorporate robot members, it is essential to consider how a robot's actions may influence the team's social dynamics and interactions. In this work, we investigated the effects of verbal support from a robot on human team members' interactions related to psychological safety and inclusion. We conducted a between-subjects experiment where the robot team member either gave verbal support or did not give verbal support to the human team members of a human-robot team comprised of 2 (...) human ingroup members, 1 human outgroup member, and 1 robot. We found that targeted support from the robot had a positive effect on outgroup members, who increased their verbal participation after receiving targeted support from the robot. When comparing groups that did and did not have verbal support from the robot, we found that outgroup members received fewer verbal backchannels from ingroup members if their group had robot verbal support. These results suggest that verbal support from a robot may have some direct benefits to outgroup members but may also reduce the obligation ingroup members feel to support the verbal contributions of outgroup members. (shrink)

In his 1923 play R.U.R.: Rossum s Universal Robots, Karel Capek coined In 1993, we began a humanoid robotics project aimed at constructing a robot for use in exploring theories of human intelligence. In this article, we describe three aspects of our research methodology that distinguish our work from other humanoid projects. First, our humanoid robots are designed to act autonomously and safely in natural workspaces with people. Second, our robots are designed to interact socially with people by exploiting natural (...) human social cues. Third, we believe that robotics offers a unique tool for testing models of human intelligence drawn from developmental psychology and cognitive science. (shrink)

We present a novel, sophisticated intention‐based control system for a mobile robot built from an extremely inexpensive webcam and radio‐controlled toy vehicle. The system visually observes humans participating in various playground games and infers their goals and intentions through analyzing their spatiotemporal activity in relation to itself and each other, and then builds a coherent narrative out of the succession of these intentional states. Starting from zero information about the room, the rules of the games, or even which vehicle it (...) controls, it learns rich relationships between players, their goals and intentions, probing uncertain situations with its own behavior. The robot is able to watch people playing various playground games, learn the roles and rules that apply to specific games, and participate in the play. The narratives it constructs capture essential information about the observed social roles and types of activity. After watching play for a short while, the system is able to participate appropriately in the games. We demonstrate how the system acts appropriately in scenarios such as chasing, follow‐the‐leader, and variants of tag. (shrink)