Evaluating factors that affect trust calibration: the influence of trust strategy and risk
Abstract
The proposed research is intended to advance knowledge and understanding of the human-machine trust phenomenon referred to as system-wide trust (SWT) and component-specific trust (CST), in order to derive methods that reduce inappropriate system-wide trust when operators team with multiple autonomous agents. The PI also intends to derive performance and behavioral markers that are indicative of trust levels. Performance metrics are essential to conducting good research and also in validating design of autonomous systems. In addition, the PI intends to examine the interaction between perceived risk (e.g., by manipulating monetary incentives), expertise, an individual s disposition, and trust as it relates to autonomous air vehicles.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Mar 23, 2016
- Source ID
- FA95501610023
Entities
People
- Tyler H Shaw
Organizations
- Air Force Office of Scientific Research
- George Mason University
- United States Air Force