Impact of Transparency and Explanations on Trust and Situation Awareness in Human–Robot Teams

Abstract

Urban Search and Rescue (USAR) missions continue to benefit from the incorporation of human–robot teams (HRTs). USAR environments can be ambiguous, hazardous, and unstable. The integration of robot teammates into USAR missions has enabled human teammates to access areas of uncertainty, including hazardous locations. For HRTs to be effective, it is pertinent to understand the factors that influence team effectiveness, such as having shared goals, mutual understanding, and efficient communication. The purpose of our research is to determine how to (1) better establish human trust, (2) identify useful levels of robot transparency and robot explanations, (3) ensure situation awareness, and (4) encourage a bipartisan role amongst teammates. By implementing robot transparency and robot explanations, we found that the driving factors for effective HRTs rely on robot explanations that are context-driven and are readily available to the human teammate.

Document Details

Document Type
Pub Defense Publication
Publication Date
Nov 16, 2022
Source ID
10.1177/15553434221136358

Entities

People

  • Akuadasuo Ezenyilimba
  • Alexander Hehr
  • Alexandra Wolff
  • Erin Chiou
  • Margaret Wong
  • Mustafa Demir
  • Nancy J Cooke

Organizations

  • Air Force Office of Scientific Research
  • Arizona State University

Tags

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Systems Analysis and Design

Technology Areas

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