Verbal explanations by collaborating robot teams

Human-Robot Teams Collaborating Socially, Organizationally, and Culturally

We describe an approach examining multi-level collaboration challenges by integrating social, organizational, and cultural factors for human-robot teams operating in the real world. We discuss the research at three levels of social interaction: within a team, within a social environment, and within a culture. We first describe research exploring psychologically and biologically inspired models ...

The Impact of POMDP-Generated Explanations on Trust and Performance in Human-Robot Teams

Researchers have observed that people will more accurately trust an autonomous system, such as a robot, if they have a more accurate understanding of its decision-making process. Studies have shown that hand-crafted explanations can help maintain effective team performance even when the system is less than 100% reliable. However, current explanation algorithms are not sufficient for making a ro...

Verbal Plan Explanations for Hybrid Planning

Qualitative Verbal Explanations in Bayesian Belief Networks

Application of Bayesian belief networks in systems that interact directly with human users, such as decision support systems, requires eeective user interfaces. The principal task of such interfaces is bridging the gap between probabilistic models and human intuitive approaches to modeling uncertainty. We describe several methods for automatic generation of qualitative verbal explanations in sy...

Teams for Teams Performance in Multi-Human/Multi-Robot Teams

The present study addresses the interaction between automation and organization of human teams in controlling large robot teams performing an Urban Search and Rescue (USAR) task. We identify three subtasks: perceptual visual search for victims, assistance teleoperation to assist robot, and navigation path planning and coordination. For the studies reported, navigation was selected for automatio...