Trust and Human-Autonomy Teaming

Abstract

The purpose of this research paper is to examine what influences human trust as it relates to human-autonomy teaming. The research was conducted as a mixed method study conducted via an online survey experiment. The experiment analyzed several independent variables and a single dependent variable (trust in an Artificial Intelligence (AI) system). The independent variables were an individual's digital literacy, an AI system's level of transparency, and the participant's experience level concerning an AI system's abilities/performance. Participants were given a hypothetical vignette, with random treatments to measure the independent variables, in which they assumed the role of lead planner on an operational team paired with the hypothetical AI system. The results show the importance of underlying baseline levels of trust in AI, regardless of treatment conditions. Finally, the study highlights that AI system transparency to increase trust might be more limited than previously thought.

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Document Details

Document Type
Technical Report
Publication Date
Jun 10, 2022
Accession Number
AD1210281

Entities

People

  • Christopher Kean

Organizations

  • United States Army Command and General Staff College

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Air Force
  • Artificial Intelligence
  • Cognition
  • Computational Science
  • Computer Programming
  • Computers
  • Databases
  • Digital Information
  • Factor Analysis
  • Governments
  • Information Processing
  • Information Science
  • Internet
  • Knowledge Management
  • Law
  • Military Research
  • Psychology
  • Spreadsheet Software
  • United States Northern Command
  • Warfare

Readers

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

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - DoD AI Strategy