HUMAN-MACHINE SENSORY SHARING FOR SWIFT TRUST IN AUTONOMY

Abstract

This research aims to test if human-machine sensory sharing establishes swift trust in autonomy in urgent situations. Human-machine sensory sharing in this research refers to converting machine sensor data into human-perceivable sensations. It includes simulating sensor data that can be considered novel and alien to humans, such as aerodynamic, thermal, and pressure changes as haptic, visual and auditorial feedback. Swift trust occurs in temporary teams to accomplish specific tasks, often under certain time constraints. It fits well in cases where autonomy is deployed in an urgent or temporary manner, and when cumulative experience is infeasible.

Document Details

Document Type
DoD Grant Award
Publication Date
Apr 20, 2023
Source ID
FA95502210492

Entities

People

  • Jing Du

Organizations

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

Tags

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Auditory Neuroscience/Auditory Physiology.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.