Effects of Information Modality and Confidence on Trust and Situation Awareness in Human-Robot Teaming
Event Type
Virtual Program Session
Human AI Robot Teaming (HART)
TimeWednesday, October 12th1:30pm - 1:45pm EDT
DescriptionAs robot autonomy advances, their roles in dynamic task environments like urban search and rescue (USAR) may shift from a useful tool to a teammate capable of interdependent taskwork. The information transferred between a human and robotic agent that allows each team member to understand the others status, reasoning and future states is referred to as transparency. Transparency is critical for effective human-robot teaming and how it is presented can have important implications for human operators. A virtual USAR team experiment was conducted to investigate the effects of modalities of transparency and confidence information on an operator’s situation awareness (SA), trust, workload, and performance. Results indicate that workload is an important factor in determining the most effective presentation modality. Furthermore, confidence information increased operator SA and trust in the robotic teammate regardless of workload.