People in complex scenarios face the challenge of understanding the purpose and effect of other human and computational behaviour on their own goals through intent recognition. They are left asking what caused person or system ‘x’ to do that? The necessity to provide this support human-computer interaction has increased alongside the deployment of autonomous systems that are to some degree unsu...

In this paper, we describe a system that reacts to both possible system breakdowns and low user engagement with a set of conversational strategies. These general strategies reduce the number of inappropriate responses and produce better user engagement. We also found that a system that reacts to both possible system breakdowns and low user engagement is rated by both experts and non-experts as ...

We propose a theoretical framework for detecting and predicting forecast breakdowns, defined as situations where the out-of-sample performance of a forecast method, judged by some loss function, is systematically worse than its in-sample performance. Our framework can be used to establish the robustness of a forecast method in the past, and to predict whether the forecast method will break down...