59 citations · 194 across the 46 of their papers we have counts for
6 papers · 1 filter
How much informative is your XAI? A decision-making assessment task to objectively measure the goodness of explanations
Marco Matarese, Francesco Rea, Alessandra Sciutti
There is an increasing consensus about the effectiveness of user-centred approaches in the explainable artificial intelligence (XAI) field. Indeed, the number and complexity of per…
Real-time Addressee Estimation: Deployment of a Deep-Learning Model on the iCub Robot
Carlo Mazzola, Francesco Rea, Alessandra Sciutti
Addressee Estimation is the ability to understand to whom a person is talking, a skill essential for social robots to interact smoothly with humans. In this sense, it is one of the…
All by Myself: Learning Individualized Competitive Behaviour with a Contrastive Reinforcement Learning optimization
Pablo Barros, Alessandra Sciutti
In a competitive game scenario, a set of agents have to learn decisions that maximize their goals and minimize their adversaries' goals at the same time. Besides dealing with the i…
Expressing and Inferring Action Carefulness in Human-to-Robot Handovers
Linda Lastrico, Nuno Ferreira Duarte, Alessandro Carfì +4
Implicit communication plays such a crucial role during social exchanges that it must be considered for a good experience in human-robot interaction. This work addresses implicit c…
Asch Meets HRI: Human Conformity to Robot Groups
Jasmin Bernotat, Doreen Jirak, Eduardo Benitez Sandoval +2
We present a research outline that aims at investigating group dynamics and peer pressure in the context of industrial robots. Our research plan was motivated by the fact that indu…
To Whom are You Talking? A Deep Learning Model to Endow Social Robots with Addressee Estimation Skills
Carlo Mazzola, Marta Romeo, Francesco Rea +2
Communicating shapes our social word. For a robot to be considered social and being consequently integrated in our social environment it is fundamental to understand some of the dy…