3 papers
cs.HC2025
Fewer Than 1% of Explainable AI Papers Validate Explainability with Humans
Ashley Suh, Isabelle Hurley, Nora Smith +1
This late-breaking work presents a large-scale analysis of explainable AI (XAI) literature to evaluate claims of human explainability. We collaborated with a professional librarian…
cs.HC2025
Enabling Rapid Shared Human-AI Mental Model Alignment via the After-Action Review
Edward Gu, Ho Chit Siu, Melanie Platt +3
In this work, we present two novel contributions toward improving research in human-machine teaming (HMT): 1) a Minecraft testbed to accelerate testing and deployment of collaborat…
cs.HC2024
STL: Still Tricky Logic (for System Validation, Even When Showing Your Work)
Isabelle Hurley, Rohan Paleja, Ashley Suh +2
As learned control policies become increasingly common in autonomous systems, there is increasing need to ensure that they are interpretable and can be checked by human stakeholder…