Physiological Sensor Suites to Assess Trust Dynamics in Heterogeneous Human-Agent Teams

Abstract

It is projected that 60% of the U.S. Air Force fleet will be unmanned or optionally manned by 2035 (U.S. OSD, 2017). As a result, the future will likely include teaming of humans with multi-vehicle systems such as ground robots combined with unmanned aerial vehicles (UAVs). One key factor for success in human-agent teams (HATs) is the ability for human team members to develop appropriate levels of trust in agents (Klein, Woods, Bradshaw and Hoffman, 2004). A key challenge in studying HATs and human trust in their agent counterparts is that the lack of outward communications makes assessment of dynamic team processes and levels of trust more difficult. Although limited studies have utilized behavioral and physiological measures of trust, more focus is needed on the systematic development and validation of unobtrusive measures of operator trust in HATs.

Document Details

Document Type
DoD Grant Award
Publication Date
Feb 05, 2025
Source ID
FA95502410037

Entities

People

  • Meredith Carroll

Organizations

  • Air Force Office of Scientific Research
  • Florida Institute of Technology
  • United States Air Force

Tags

Readers

  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Autonomy - Human-Robot Interaction
  • Autonomy - UAVs