An Experimental Investigation of how Robotic Learning and Cloud-Based Information Affects Trust in Human-Machine Teaming Contexts
Abstract
The research goals of the current proposal are to investigate two factors that may influence trust in future autonomous systems. The first factor is machine learning. Many intelligent machines are designed to learn from their environment in order to improve performance and reduce error over time. This is an important capability for adaptive autonomous system, but potentially effects human-machine teaming in unintended ways. Predictability tends to have a significant effect on a human operator s trust and willingness to rely on autonomous systems, but learning machines that will adapt their behavior over time, and will therefore be less predictable than the non-learning systems that people typically interact with.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jul 15, 2016
- Source ID
- FA95501610217
Entities
People
- Nhut Ho
Organizations
- Air Force Office of Scientific Research
- United States Air Force