Communicating Missing Causal Information to Explain a Robot’s Past Behavior

Abstract

Robots need to explain their behavior to gain trust. Existing research has focused on explaining a robot’s current behavior, yet it remains unknown yet challenging how to provide explanations of past actions in an environment that might change after a robot’s actions, leading to critical missing causal information due to moved objects.

Document Details

• Document Type: Pub Defense Publication
• Publication Date: Feb 15, 2023
• Source ID: 10.1145/3568024

Entities

People

• Holly Ann Yanco
• Zhao Han

Organizations

• Office of Naval Research
• University of Massachusetts Lowell

Tags

Fields of Study

• Computer science

Readers

• Artificial Intelligence
• Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.
• Theoretical Analysis.

Technology Areas

• AI & ML
• AI & ML - Autonomous Systems
• Autonomy
• Autonomy - Human-Robot Interaction