A Psychophysiological and Behavioral Measure-based Multimodal Trust Model for Generating Real-time Intervention to Facilitate Human-Robot Teaming
Abstract
Research Objectives- Robots share physical spaces with humans in various collaborative environments, from manufacturing to healthcare to military operations. In many of these mixed-initiative teams where a robot is considered a group member, a calibration of trust in the team is essential in achieving fluent collaboration. Over-trusting or under-trusting the robot can lead to suboptimal system use, degrading the effectiveness of human-robot collaboration. Measuring a person s level of trust in a robot is not trivial. Existing models rely on self-reporting or sophisticated instrumentation in controlled environments, which is unsuitable for real-time robot deployment. This research investigates fundamental principles underlying trust dynamics in human-robot teams. It will ad- dress three essential directions- 1) Multimodal Trust Model- How can robots objectively measure human trust during collaboration., 2) Trust Calibration- Utilizing objective trust measures, how can robots select actions to calibrate human trust., 3) Trust Dynamics and Transfer- Does trust established in one task transfer to another.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Feb 05, 2025
- Source ID
- FA95502410081
Entities
People
- Tariq Iqbal
Organizations
- Air Force Office of Scientific Research
- United States Air Force
- University of Virginia