4 accepted papers
Policy explanation, a process for describing the behavior of an autonomous system, plays a crucial role in effectively conveying an agent's decision-making rationale to human collaborators and is essential for safe real-world deployments. It becomes even more critical in effective human-robot teamin…
Human memory of a robot’s competence, and resulting subjective perceptions of that robot, are influenced by numerous cognitive biases. One class of cognitive bias deals with the ordering of items or interactions: information presented last among a grouping is most salient in memory formation (recenc…
Justification is an important facet of policy explanation, a process for describing the behavior of an autonomous system. In human-robot collaboration, an autonomous agent can attempt to justify distinctly important decisions by offering explanations as to why those decisions are right or reasonable…
Developments in human-robot teaming have given rise to significant interest in training methods that enable collaborative agents to safely and successfully execute tasks alongside human teammates. While effective, many existing methods are brittle to changes in the environment and do not account for…