
Theses and Dissertations
ORCID
https://orcid.org/0000-0003-3733-4736
Advisor
Bethel, Cindy, L
Committee Member
Buck, Andrew
Committee Member
Anderson, Derek,
Committee Member
Carruth, Daniel
Committee Member
Novitzky, Michael; Chen, Jingdao; and Rahimi, Shahram
Date of Degree
5-16-2025
Original embargo terms
Embargo 1 year
Document Type
Dissertation - Open Access
Major
Computer Science
Degree Name
Doctor of Philosophy (Ph.D.)
College
James Worth Bagley College of Engineering
Department
Department of Computer Science and Engineering
Abstract
Successful human-agent teaming requires teammates to form and maintain a shared or common understanding of several attributes regarding taskwork and teamwork. With enhanced information sharing, mental model development, and team functionality, teammates (human, autonomous) can learn to anticipate each others' behaviors, preferences, and needs as well as understand their capabilities and limitations. In designing a framework to support this type of cooperative teaming, there is a need to determine how sharing knowledge, mental models, and common understandings impacts teaming dynamics and performance. By incorporating each individual's understanding into a human-agent interface, this research enables better team coordination and performance through sharing a team's common understanding, improving efficiency and reliance, and reducing mental workload. Additionally, this work afforded a thorough investigation of the interpretation of trust and reliance and how interpersonal relationships changed due to trust fluctuations among teammates.
Sponsorship (Optional)
Air Force Office of Scientific Research (AFOSR), Army Research Laboratory (ARL) Distributed and Collaborative Intelligent Systems and Technology (DCIST) Collaborative Research Alliance (CRA), United States Military Academy (USMA), U.S. Army DEVCOM Ground Vehicle Systems Center (GVSC) Automotive Research Center (ARC)
Recommended Citation
Aldridge, Audrey L., "Promoting collaboration and multi-directional reliance by sharing mental model information for effective multi-agent teaming" (2025). Theses and Dissertations. 6452.
https://scholarsjunction.msstate.edu/td/6452