Using a robot-head gaze to balance the a game interaction between a native and a non-native speaker.
Explaining remote robots behaviour learned from demonstration with natural language.
A study on how robot-errors affect trust in the scenario of a COVID-19 triage.
This article proposes meta-learning to perform domain adaptation in dialogue systems.
We compared the performance of neural models when trained using crowd-sourced and lab collected data. For our particular domain lab data lead to better performance.
Analysing a developing uncertainty detectors for Robot-Aided Language Learning (RALL).
A framework to collect dialogues through crowd-sourcing using a Wizard-of-Oz setup..
A position paper on mental models for HRI.
Preliminary results on uncertainty detection for Robot-Aided Language Learning (RALL).