3 citations · 6 across the 5 of their papers we have counts for
5 papers
Let people fail! Exploring the influence of explainable virtual and robotic agents in learning-by-doing tasks
Marco Matarese, Francesco Rea, Katharina J. Rohlfing +1
Collaborative decision-making with artificial intelligence (AI) agents presents opportunities and challenges. While human-AI performance often surpasses that of individuals, the im…
A Multi-Modal Explainability Approach for Human-Aware Robots in Multi-Party Conversation
Iveta Bečková, Štefan Pócoš, Giulia Belgiovine +4
The addressee estimation (understanding to whom somebody is talking) is a fundamental task for human activity recognition in multi-party conversation scenarios. Specifically, in th…
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…
A User-Centred Framework for Explainable Artificial Intelligence in Human-Robot Interaction
Marco Matarese, Francesco Rea, Alessandra Sciutti
State of the art Artificial Intelligence (AI) techniques have reached an impressive complexity. Consequently, researchers are discovering more and more methods to use them in real-…
Towards Transparency of TD-RL Robotic Systems with a Human Teacher
Marco Matarese, Silvia Rossi, Alessandra Sciutti +1
The high request for autonomous and flexible HRI implies the necessity of deploying Machine Learning (ML) mechanisms in the robot control. Indeed, the use of ML techniques, such as…