Antonio Andriella
Biographic Data
| ID | 5124995 |
|---|---|
| NAME | Antonio Andriella |
| GIVEN NAMES | Antonio |
| FAMILY NAME | Andriella |
| SIGNATURE | ANDRIELLA A |
| AFFILIATIONS | Institut de Robòtica i Informàtica Industrial |
| ORCID | 0000-0002-6641-6450 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 6 |
| AUTHOR COUNT | 10 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Human-Interactive Robot Learning: Definition, Challenges, and Recommendations
Robot learning from humans has been proposed and researched for several decades as a means to enable robots to learn new skills or adapt existing ones to new situations. Recent advances in AI, including learning approaches like reinforcement learning and architectures like transformers and foundation models, combined with access to massive datasets, have created attractive opportunities to apply those data-hungry techniques to this problem. We ar…
From Percepts to Semantics: A Multi-modal Saliency Map to Support Social Robots’ Attention
In social robots, visual attention expresses awareness of the scenario components and dynamics. As in humans, their attention should be driven by a combination of different attention mechanisms. In this article, we introduce multi-modal saliency maps, i.e., spatial representations of saliency that dynamically integrate multiple attention sources depending on the context. We provide the mathematical formulation of the model and an open source soft…
Enhancing Robot Assistive Behaviour by Mentalising User Intent and Beliefs with Reinforcement Learning
Adaptation to user preferences and the ability to infer and interpret human beliefs and intents, known as the Theory of Mind (ToM), are two critical aspects of effective human-robot collaboration. Despite their importance, very few studies have investigated the impact of adaptive robots with ToM capabilities. This work presents an exploratory comparative study to investigate how social robots simulating ToM capabilities affect user performance an…
Does the Personality of Consumers Influence the Assessment of the Experience of Interaction with Social Robots
In recent years, in response to the effects of Covid-19, there has been an increase in the use of social robots in service organisations, as well as in the number of interactions between consumers and robots. However, it is not clear how consumers are valuing these experiences or what the main drivers that shape them are. Furthermore, it is an open research question whether these experiences undergone by consumers can be affected by their own per…
Trust, Acceptance and Social Cues in Human-Robot Interaction (SCRITA)
Gendered Human–Robot Interactions in Services
The outbreak of Covid-19 precipitated the use of service robots in customer-facing services as a replacement for employees to avoid human-to-human contact. However, this development has not resolved the debate as to whether robots should be characterized with gender attributes or simply be genderless. This study explores whether endowing a robot with gender attributes makes it more acceptable as a service provider among stated men and women. To t…
How do Consumers’ Gender and Rational Thinking Affect the Acceptance of Entertainment Social Robots
In recent years, the rapid ageing of the population, a longer life expectancy and elderly people’s desire to live independently are social changes that put pressure on healthcare systems. This context is boosting the demand for companion and entertainment social robots on the market and, consequently, producers and distributors are interested in knowing how these social robots are accepted by consumers. Based on technology acceptance models, a pa…
Short-Term Human–Robot Interaction Adaptability in Real-World Environments
Do I Have a Personality? Endowing Care Robots with Context-Dependent Personality Traits
Recent studies have revealed the key importance of modelling personality in robots to improve interaction quality by empowering them with social-intelligence capabilities. Most research relies on verbal and non-verbal features related to personality traits that are highly context-dependent. Hence, analysing how humans behave in a given context is crucial to evaluate which of those social cues are effective. For this purpose, we designed an assist…
Deciding the different robot roles for patient cognitive training
Do I Have a Personality? Endowing Care Robots with Context-Dependent Personality Traits
Recent studies have revealed the key importance of modelling personality in robots to improve interaction quality by empowering them with social-intelligence capabilities. Most research relies on verbal and non-verbal features related to personality traits that are highly context-dependent. Hence, analysing how humans behave in a given context is crucial to evaluate which of those social cues are effective. For this purpose, we designed an assist…
Deciding the different robot roles for patient cognitive training
Deciding the different robot roles for patient cognitive training
Short-Term Human–Robot Interaction Adaptability in Real-World Environments
Do I Have a Personality? Endowing Care Robots with Context-Dependent Personality Traits
Recent studies have revealed the key importance of modelling personality in robots to improve interaction quality by empowering them with social-intelligence capabilities. Most research relies on verbal and non-verbal features related to personality traits that are highly context-dependent. Hence, analysing how humans behave in a given context is crucial to evaluate which of those social cues are effective. For this purpose, we designed an assist…
How do Consumers’ Gender and Rational Thinking Affect the Acceptance of Entertainment Social Robots
In recent years, the rapid ageing of the population, a longer life expectancy and elderly people’s desire to live independently are social changes that put pressure on healthcare systems. This context is boosting the demand for companion and entertainment social robots on the market and, consequently, producers and distributors are interested in knowing how these social robots are accepted by consumers. Based on technology acceptance models, a pa…
Gendered Human–Robot Interactions in Services
The outbreak of Covid-19 precipitated the use of service robots in customer-facing services as a replacement for employees to avoid human-to-human contact. However, this development has not resolved the debate as to whether robots should be characterized with gender attributes or simply be genderless. This study explores whether endowing a robot with gender attributes makes it more acceptable as a service provider among stated men and women. To t…
Does the Personality of Consumers Influence the Assessment of the Experience of Interaction with Social Robots
In recent years, in response to the effects of Covid-19, there has been an increase in the use of social robots in service organisations, as well as in the number of interactions between consumers and robots. However, it is not clear how consumers are valuing these experiences or what the main drivers that shape them are. Furthermore, it is an open research question whether these experiences undergone by consumers can be affected by their own per…
Trust, Acceptance and Social Cues in Human-Robot Interaction (SCRITA)
From Percepts to Semantics: A Multi-modal Saliency Map to Support Social Robots’ Attention
In social robots, visual attention expresses awareness of the scenario components and dynamics. As in humans, their attention should be driven by a combination of different attention mechanisms. In this article, we introduce multi-modal saliency maps, i.e., spatial representations of saliency that dynamically integrate multiple attention sources depending on the context. We provide the mathematical formulation of the model and an open source soft…
Enhancing Robot Assistive Behaviour by Mentalising User Intent and Beliefs with Reinforcement Learning
Adaptation to user preferences and the ability to infer and interpret human beliefs and intents, known as the Theory of Mind (ToM), are two critical aspects of effective human-robot collaboration. Despite their importance, very few studies have investigated the impact of adaptive robots with ToM capabilities. This work presents an exploratory comparative study to investigate how social robots simulating ToM capabilities affect user performance an…
Human-Interactive Robot Learning: Definition, Challenges, and Recommendations
Robot learning from humans has been proposed and researched for several decades as a means to enable robots to learn new skills or adapt existing ones to new situations. Recent advances in AI, including learning approaches like reinforcement learning and architectures like transformers and foundation models, combined with access to massive datasets, have created attractive opportunities to apply those data-hungry techniques to this problem. We ar…
Robot (8 works) · Artificial Intelligence (7 works) · Computer Science (7 works) · Psychology (6 works) · Human–robot interaction (5 works) · Social Robot Interaction and HRI (5 works) · AI in Service Interactions (3 works) · Cognitive psychology (3 works) · Human–computer interaction (3 works) · Robotics (3 works)