Configurable Anthropomorphic Robot to Assess Threat-modulation of Trust in Machine Agents

Abstract

An emerging corpus of research indicates that threatening situations lead individuals toconceptualize members of their coalitions as more mentally human. Relatedly, research alsoshows that machine agents are intuitively anthropomorphized as possessing human mentalcharacteristics, and are increasingly enmeshed as quasi-members of military teams. Anecdotally,for example, soldiers have been known to name and even mourn the loss of explosive ordnancedisposal robots, and recent neuroscientific research confirms that machine agents areconceptualized using some of the same neural mechanisms as those employed in social reasoningabout the mental states of other human beings.

Document Details

Document Type
DoD Grant Award
Publication Date
Apr 09, 2018
Source ID
FA95501810065

Entities

People

  • Christopher Holbrook

Organizations

  • Air Force Office of Scientific Research
  • United States Air Force
  • University of California, Los Angeles

Tags

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Neural Network Machine Learning.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

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