11 citations · 14 across the 4 of their papers we have counts for
4 papers
An Information Bottleneck Characterization of the Understanding-Workload Tradeoff
Lindsay Sanneman, Mycal Tucker, Julie Shah
Recent advances in artificial intelligence (AI) have underscored the need for explainable AI (XAI) to support human understanding of AI systems. Consideration of human factors that…
Explaining Reward Functions to Humans for Better Human-Robot Collaboration
Lindsay Sanneman, Julie Shah
Explainable AI techniques that describe agent reward functions can enhance human-robot collaboration in a variety of settings. One context where human understanding of agent reward…
The State of Industrial Robotics: Emerging Technologies, Challenges, and Key Research Directions
Lindsay Sanneman, Christopher Fourie, Julie A. Shah
Robotics and related technologies are central to the ongoing digitization and advancement of manufacturing. In recent years, a variety of strategic initiatives around the world inc…
Trust Considerations for Explainable Robots: A Human Factors Perspective
Lindsay Sanneman, Julie A. Shah
Recent advances in artificial intelligence (AI) and robotics have drawn attention to the need for AI systems and robots to be understandable to human users. The explainable AI (XAI…