2 citations · 6 across the 9 of their papers we have counts for
9 papers
Assessing Physical Frailty and Fall-Risk Indicators with Social Robots: An in situ Evaluation with Older Adults
Aniol Civit, Antonio Andriella, Alba Martínez +4
Frailty assessments are crucial to evaluate the risk of adverse events and the health and social care needs of older adults, yet their administration remains resource-intensive and…
Responsible Personalisation: The Double-Edged Sword of Personalisation in Human-Robot Interaction
Antonio Andriella, Jauwairia Nasir, Andrea Rezzani +7
While personalisation is becoming a defining capability in human-robot interaction (HRI), the existing literature on responsible personalisation remains fragmented, offering isolat…
From User Preferences to Base Score Extraction Functions in Gradual Argumentation (with Appendix)
Aniol Civit, Antonio Rago, Antonio Andriella +2
Gradual argumentation is a field of symbolic AI which is attracting attention for its ability to support transparent and contestable AI systems. It is considered a useful tool in d…
HEXAR: a Hierarchical Explainability Architecture for Robots
Tamlin Love, Ferran Gebellí, Pradip Pramanick +5
As robotic systems become increasingly complex, the need for explainable decision-making becomes critical. Existing explainability approaches in robotics typically either focus on…
Multi-User Personalisation in Human-Robot Interaction: Resolving Preference Conflicts Using Gradual Argumentation
Aniol Civit, Antonio Andriella, Carles Sierra +1
While personalisation in Human-Robot Interaction (HRI) has advanced significantly, most existing approaches focus on single-user adaptation, overlooking scenarios involving multipl…
Temporal Counterfactual Explanations of Behaviour Tree Decisions
Tamlin Love, Antonio Andriella, Guillem Alenyà
Explainability, in particular, the ability for robots to explain why they have made a decision or behaved in a certain way, is a critical tool in helping users understand the robot…
Enhancing Robot Assistive Behaviour with Reinforcement Learning and Theory of Mind
Antonio Andriella, Giovanni Falcone, Silvia Rossi
The adaptation to users' preferences and the ability to infer and interpret humans' beliefs and intents, which is known as the Theory of Mind (ToM), are two crucial aspects for ach…
The Road to a Successful HRI: AI, Trust and ethicS-TRAITS
Alessandra Rossi, Antonio Andriella, Silvia Rossi +1
The aim of this workshop is to foster the exchange of insights on past and ongoing research towards effective and long-lasting collaborations between humans and robots. This worksh…
The Road to a Successful HRI: AI, Trust and ethicS-TRAITS
Antonio Andriella, Alessandra Rossi, Silvia Rossi +1
The aim of this workshop is to give researchers from academia and industry the possibility to discuss the inter-and multi-disciplinary nature of the relationships between people an…