Together with my amazing colleague Dimosthenis Kontogiorgos, we led the work that got accepted into HRI'20.

Overview of study design in which a participant cooks a recipe and a Furhat robot gives instructions.
In this work, we study and analyse these behavioural cues in response to robot conversational failures. Using a guided task corpus, where robot embodiment and time pressure are manipulated, we ask human annotators to estimate whether user affective states differ during various types of robot failures. We also train a random forest classifier to detect whether a robot failure has occurred and compare results to human annotator benchmarks. Take-away messages from this work: - human-like robots augment users' reactions to failures, as shown in users' visual attention, in comparison to non-human-like smart-speaker embodiments. - Speech behaviours are utilised more in responses to failures when non-human-like designs are present. - Robot failure detection mechanisms should consider the robot's physical design. @inproceedings{kontogiorgos2020behavioural, title={Behavioural responses to robot conversational failures}, author={Kontogiorgos, Dimosthenis and Pereira, Andre and Sahindal, Boran and van Waveren, Sanne and Gustafson, Joakim}, booktitle={Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction}, pages={53--62}, year={2020}, }