Human-Autonomy Teaming Trust Toolkit (HAT3) Software Development Documentation and User Guide
Abstract
Advances in artificial intelligence capabilities in autonomy-enabled systems and robotics have pushed research to address the unique nature of human-autonomy team collaboration. The goals of these advanced technologies are to enable rapid decision making, enhance situation awareness, promote shared understanding, and improve team dynamics. Simultaneously, use of these technologies is expected to reduce risk to those who collaborate with these systems. Yet, for appropriate human-autonomy teaming to take place, especially as we move beyond dyadic partnerships, proper calibration of team trust is needed to effectively coordinate interactions during high-risk operations. To meet this end, critical measures of team trust for this new dynamic of human-autonomy teams are needed. This software document and user guide describe the purpose, scope, components, and system design of the Human-Autonomy Teaming Trust Toolkit. The objective of this technical report is to provide readers, developers, and potential first-time users of this system with background information, highlighting the impetus for the toolkit, its purpose, and a thorough understanding of its functionality. Lastly, we include an instructional guide for how to use the toolkit software.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 2023
- Accession Number
- AD1197383
Entities
People
- Andrea S. Krausman
- Anthony L Baker
- Bret Kellihan
- Catherine Neubauer
- Justin Jagielski
- Sean M. Fitzhugh
Organizations
- United States Army Research Laboratory