3 papers
cs.CL2026
Effective Explanations Support Planning Under Uncertainty
Hanqi Zhou, Britt Besch, Charley M. Wu +1
Explaining how to get from A to B can be challenging. It requires mentally simulating what the listener will do based on what they are told. To capture this process, we propose a c…
cs.HC2026
Why Someone Asked "Why": Foil Inference in Human and LLM Question Interpretation
Britt Besch, Tobias Gerstenberg
Explanations are inherently contrastive: E happened rather than E' because of C rather than C'. However, these contrasts, or "foils", are rarely mentioned explicitly but have to be…
cs.RO2026
Model Reconciliation through Explainability and Collaborative Recovery in Assistive Robotics
Britt Besch, Tai Mai, Jeremias Thun +4
Whenever humans and robots work together, it is essential that unexpected robot behavior can be explained to the user. Especially in applications such as shared control the user an…