Human-Machine Teams: The Social Frontier

Abstract

This interim report summarizes the program road map, experimental studies, and preliminary data analysis results to date. Several intriguing empirical findings have been generated thus far, indicating that implicit social dynamics of human-machine teams (HMT) can be explicitly shaped during training, resulting in a significant impact on machine trust, reliance, bonding/cohesion, and perceived ability to cope with stress during a simulated ISR task. Such social dynamics (e.g., climate management) can be shaped with minimal design investment, and minimal user cognitive resource requirement as the effects are largely implicit.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2015
Accession Number
ADA626642

Entities

People

  • Charlene Stokes-schwartz

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • C4I
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Autonomous Systems
  • Cognition
  • Cognitive Systems Engineering
  • Control Systems
  • Data Analysis
  • Dynamics
  • Education
  • Government Procurement
  • Human-Machine Systems
  • Judgment
  • Organizational Structure
  • Personality
  • Psychology
  • Social Psychology
  • Training

Readers

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