Presentation
31. Entropy and Trust Dynamics in Human-Autonomy Teaming
SessionPoster Session 2
DescriptionOver the years, trust in HAT has been extensively analyzed by researchers, not just as a static measure but also as a dynamic process. In this study, a multiple regression model was employed to explore potential predictors in tasks that might dynamically influence trust levels. By computing entropy, a continuous measure of system reorganization, across different system layers of a remotely piloted aerial vehicle system, we can measure the influence of these dynamic predictors on trust. These system layers are integral, each holding a set of events or controls that potentially influence the system and offer insight into the system’s dynamic behavior. The current findings suggest the presence of potential trust predictors in the form of these human-autonomy interactions as measured using entropy. Further research is required for a more in-depth understanding of these components and their implications for trust dynamics.
Event Type
Poster
TimeThursday, September 12th5:30pm - 6:30pm MST
LocationMcArthur Ballroom
Aging
Augmented Cognition
Children's Issues
Communications
Cybersecurity
Education
Environmental Design
General Sessions
Human AI Robot Teaming (AI)
Macroergonomics
Occupational Ergonomics
Student Forum
Surface Transportation
Sustainability
System Development