Human-Autonomy Teaming: Using Latent Semantic Analysis for Assessing Team Cohesion from Crew Communication
Abstract
Team cohesion is a critical component of team function and effectiveness. With respect to military operations, there is a need to assess team cohesion in real time, over the course of rapidly changing circumstances, as unobtrusively as possible. With the emphasis on integrating autonomous agents as team members, the need to understand team cohesion is even more critical. The main goal of this research was to evaluate the effectiveness of using latent semantic analysis (LSA) to quantify team cohesion from recorded verbal crew communication during a simulation study of human-autonomy teaming operations. In the present work, a six-person crew interacted with a manned and two unmanned robotic vehicles using different transparency displays during simulated cordon and search missions. Result from these analyses showed that additional assessment methods, such as LSA, can help explain the real-time effects of human-autonomy team dynamics on team cohesion.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 2020
- Accession Number
- AD1110605
Entities
People
- Andrea Krausman
- Brandon S. Perelman
- Catherine Neubauer
- Daniel E Forster
- Kristin E. Schaefer
- Sean M. Mcghee
Organizations
- United States Army Research Laboratory