59 citations · 120 across the 23 of their papers we have counts for
24 papers
Building Knowledge from Interactions: An LLM-Based Architecture for Adaptive Tutoring and Social Reasoning
Luca Garello, Giulia Belgiovine, Gabriele Russo +2
Integrating robotics into everyday scenarios like tutoring or physical training requires robots capable of adaptive, socially engaging, and goal-oriented interactions. While Large…
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…
The Effects of Selected Object Features on a Pick-and-Place Task: a Human Multimodal Dataset
Linda Lastrico, Valerio Belcamino, Alessandro Carfì +4
We propose a dataset to study the influence of object-specific characteristics on human pick-and-place movements and compare the quality of the motion kinematics extracted by vario…
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…
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…
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…
I am Only Happy When There is Light: The Impact of Environmental Changes on Affective Facial Expressions Recognition
Doreen Jirak, Alessandra Sciutti, Pablo Barros +1
Human-robot interaction (HRI) benefits greatly from advances in the machine learning field as it allows researchers to employ high-performance models for perceptual tasks like dete…
If You Are Careful, So Am I! How Robot Communicative Motions Can Influence Human Approach in a Joint Task
Linda Lastrico, Nuno Ferreira Duarte, Alessandro Carfì +4
As humans, we have a remarkable capacity for reading the characteristics of objects only by observing how another person carries them. Indeed, how we perform our actions naturally…
"iCub, We Forgive You!" Investigating Trust in a Game Scenario with Kids
Francesca Cocchella, Giulia Pusceddu, Giulia Belgiovine +3
This study presents novel strategies to investigate the mutual influence of trust and group dynamics in children-robot interaction. We implemented a game-like experimental activity…
Robots with Different Embodiments Can Express and Influence Carefulness in Object Manipulation
Linda Lastrico, Luca Garello, Francesco Rea +4
Humans have an extraordinary ability to communicate and read the properties of objects by simply watching them being carried by someone else. This level of communicative skills and…
Shared perception is different from individual perception: a new look on context dependency
Carlo Mazzola, Francesco Rea, Alessandra Sciutti
Human perception is based on unconscious inference, where sensory input integrates with prior information. This phenomenon, known as context dependency, helps in facing the uncerta…
Validating a Cortisol-Inspired Framework for Human-Robot Interaction with a Replication of the Still Face Paradigm
Sara Mongile, Ana Tanevska, Francesco Rea +1
When interacting with others in our everyday life, we prefer the company of those who share with us the same desire of closeness and intimacy (or lack thereof), since this determin…
Synthesis and Execution of Communicative Robotic Movements with Generative Adversarial Networks
Luca Garello, Linda Lastrico, Alessandra Sciutti +3
Object manipulation is a natural activity we perform every day. How humans handle objects can communicate not only the willfulness of the acting, or key aspects of the context wher…
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-…
From Movement Kinematics to Object Properties: Online Recognition of Human Carefulness
Linda Lastrico, Alessandro Carfì, Francesco Rea +2
When manipulating objects, humans finely adapt their motions to the characteristics of what they are handling. Thus, an attentive observer can foresee hidden properties of the mani…
Property-Aware Robot Object Manipulation: a Generative Approach
Luca Garello, Linda Lastrico, Francesco Rea +3
When transporting an object, we unconsciously adapt our movement to its properties, for instance by slowing down when the item is fragile. The most relevant features of an object a…
Cognitive architecture aided by working-memory for self-supervised multi-modal humans recognition
Jonas Gonzalez-Billandon, Giulia Belgiovine, Alessandra Sciutti +2
The ability to recognize human partners is an important social skill to build personalized and long-term human-robot interactions, especially in scenarios like education, care-givi…
Careful with That! Observation of Human Movements to Estimate Objects Properties
Linda Lastrico, Alessandro Carfì, Alessia Vignolo +3
Humans are very effective at interpreting subtle properties of the partner's movement and use this skill to promote smooth interactions. Therefore, robotic platforms that support h…
Self-supervised reinforcement learning for speaker localisation with the iCub humanoid robot
Jonas Gonzalez-Billandon, Lukas Grasse, Matthew Tata +2
In the future robots will interact more and more with humans and will have to communicate naturally and efficiently. Automatic speech recognition systems (ASR) will play an importa…
Action similarity judgment based on kinematic primitives
Vipul Nair, Paul Hemeren, Alessia Vignolo +7
Understanding which features humans rely on -- in visually recognizing action similarity is a crucial step towards a clearer picture of human action perception from a learning and…
A Humanoid Social Agent Embodying Physical Assistance Enhances Motor Training Experience
Giulia Belgiovine, Francesco Rea, Jacopo Zenzeri +1
Skilled motor behavior is critical in many human daily life activities and professions. The design of robots that can effectively teach motor skills is an important challenge in th…
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…
A Socially Adaptable Framework for Human-Robot Interaction
Ana Tanevska, Francesco Rea, Giulio Sandini +2
In our everyday lives we are accustomed to partake in complex, personalized, adaptive interactions with our peers. For a social robot to be able to recreate this same kind of rich,…