A Meta-Analysis of Factors Influencing the Development of Trust in Automation: Implications for Human-Robot Interaction

Abstract

The purpose of this report is to review the current evidence relating to trust in human-automation interaction and to compare these findings with our prior research on the more specific area of trust in human-robot interaction (HRI) (Hancock et al., 2011). Since automation has been shown to be a key dimension of a robot (including unmanned systems), identifying the factors that can impact trust between humans and automation may significantly increase our understanding of trust and its applications to HRI.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2014
Accession Number
ADA607926

Entities

People

  • Deborah R. Billings
  • James L. Szalma
  • Jeffrey K. Adams
  • Jessie Y. Chen
  • Kristin E. Schaefer
  • Peter A. Hancock
  • Tracy L. Sanders

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Cognitive Science
  • Cognitive Systems Engineering
  • Control Systems
  • Electronic Commerce
  • Human Behavior
  • Human Factors Engineering
  • Human-Machine Interaction
  • Human-Machine Interfaces
  • Human-Machine Systems
  • Human-Robot Interaction
  • Information Science
  • Information Systems
  • Pattern Recognition
  • Psychology
  • Unmanned Aerial Vehicles
  • Unmanned Systems
  • Warning Systems

Fields of Study

  • Computer science

Readers

  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

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