Oct 18, 2018 · We propose an approach for helping end-users build a mental model of such policies. Our key observation is that for most tasks, the essence of the policy is ...
Abstract—In order to effectively interact with or supervise a robot, humans need to have an accurate mental model of its capabilities and how it acts.
This review considers trust from the organizational, sociological, interpersonal, psychological, and neurological perspectives.
In order to effectively interact with or supervise a robot, humans need to have an accurate mental model of its capabilities and how it acts.
Mar 2, 2018 · Establishing (Appropriate) Trust via Critical States. Sandy H. Huang ... appropriately calibrate their trust for good and not-as-good policies.
Our user studies show that if the robot shows a human what its understanding of the task's critical states is, then the human can make a more informed decision ...
Bhatia, P. Abbeel, and A.D. Dragan. Establishing Appropriate Trust Via Critical States. International Conference on Intelligent Robots and Systems (IROS), 2018.
Feb 7, 2024 · Conduct comprehensive trust assessments to identify business-critical trusts and apply necessary controls to prevent unauthorized cross-forest/ ...
May 11, 2024My dissertation research explores how AI transparency and explainability can help with this goal. I begin with human-centered evaluations of current AI�...
Apr 20, 2022 · In this blog post, I discuss the adoption and growth of autonomous systems and provide six considerations for establishing trust.