Instrumentation to Investigate Relation-based Trust in Anthropomorphic Robots

Abstract

Anthropomorphism has emerged as a key determinant of trust in robots and other machine agents. The requested equipment would substantially augment ongoing research into ways that the interpersonal social presentation of anthropomorphic robots shapes the trust invested in their decision recommendations. Specifically, we wish to investigate decision-making when interacting with a highly advanced anthropomorphic robot, using a combination of Virtual Reality (VR) simulations of decision scenarios and non-VR interaction paradigms, all of which include objectively real stakes for the human interactant. For this research to generate conclusive findings applicable to real-world decision dynamics, we must maximize the anthropomorphism of the social robot platform (in anticipation of the near-term advances in social robotics), maximize the embodied realism of VR interaction scenarios, and introduce genuine, personal incentives into the trust decisions our participants make.

Document Details

Document Type
DoD Grant Award
Publication Date
Mar 07, 2024
Source ID
FA95502310649

Entities

People

  • Colin Holbrook

Organizations

  • Air Force Office of Scientific Research
  • United States Air Force
  • University of California

Tags

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

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