Human Autonomy Teaming in Uncertain and Dynamic Environments

Abstract

The research goal of this project is to develop and demonstrate theoretical foundations, models, and principles to facilitate effect,ive HAT design. We propose dynamic, temporally-situated conceptual and computational models of HAT, and adopt a multi-pronged approa,ch to teaming, incorporating cognitive, behavioral, and social factors. Our approach is trans-disciplinary, drawing on concepts from, robotics, AI, cognitive science, organizational psychology, and human factors. We will explore how teams reason, coordinate, and tr,ust, particularly with regard to how teams change over time.-This project will address key gaps in HAT, including:-1) Modeling, oper,ationalizing, and validating team mental models, in contrast to prior work which focuses on-individuals and human-robot dyads withou,t accounting for collective context and dynamics of how team performance and processes emerge.-2) Understanding temporal dynamics of, teaming, including during trust calibration and maintenance, joint action, and shared decision making, particularly during moment-t,o-moment teaming tasks. Much work to date focuses on the antecedents and consequences of teaming, whereas we will study teaming temp,orally, both in real time and over time.-3) Exploring how two key mediators, coordination and team cognition, affect team performanc,e. Both are-understudied in the HAT literature, yet very important to team outcomes; our work aims to address this gap.-4) Engaging, in empirical, longitudinal, field-based research which is necessary to help propel the field forward and provide ecological validit,y to the HAT field.-This research will substantially advance the state-of-the-art and state-of-the-science in HAT. By creating new-m,ethods that dynamically and temporally model team evolution and scientifically establishing how autonomy affects human teammates, th,is work will yield new insights for HAT in uncertain environments. Ultimately, this project will: (1) Create innovative, cognitively,-informed conceptual frameworks and computational models of teaming, (2) Establish core elements of a new interdisciplinary science, of human agent teams, (3) Accelerate the advancement of HAT in mission critical environments, (4) Pioneer

Document Details

Document Type
DoD Grant Award
Publication Date
Sep 08, 2022
Source ID
N000142212813

Entities

People

  • Laurel Riek

Organizations

  • Office of Naval Research
  • United States Navy
  • University of California, San Diego

Tags

Fields of Study

  • Computer science

Readers

  • Military Science and Technology Research and Modernization.
  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Autonomy - Autonomous System Control
  • Autonomy - Human-Robot Interaction