AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
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You can use the tag cloud to select only the papers dealing with specific research topics.
You can expand the Abstract, Links and BibTex record for each paper.
2023
Sabatucci, Luca; Cossentino, Massimo; Napoli, Claudia Di; Susi, Angelo
A model for automatic selection of IoT services in ambient assisted living for the elderly Journal Article
In: Pervasive and Mobile Computing, vol. 95, 2023.
Abstract | BibTeX | Tags: AAL for the Elderly, Model at run-time, Reasoning
@article{sabatucci_model_2023,
title = {A model for automatic selection of IoT services in ambient assisted living for the elderly},
author = {Luca Sabatucci and Massimo Cossentino and Claudia Di Napoli and Angelo Susi},
year = {2023},
date = {2023-01-01},
journal = {Pervasive and Mobile Computing},
volume = {95},
abstract = {Context: Engineering Ambient Assisted Living applications for the elderly is challenging due
to the diversity and rapid changes of both end users’ needs and technological environment
equipment.
Objective: Assistive applications can be provided as combinations of functionalities provided by
IoT devices. With the pervasive availability of functionally equivalent IoT devices, they should
be selected according to the specific deployment context in terms of user needs and conditions,
device availability, and regulations when the operative context dynamic conditions can be set.
Such selection is the objective of this work.
Methods: We rely on a conceptual framework for self-adaptation as the enabler for a run-
time decision-making process. It allows for representing relations among IoT devices, the
functionalities they deliver, and the different modalities these functionalities are provided with
in terms of goals, devices, and norms. The framework is based on three fundamental principles:
(1) high-level abstractions separating the expected functionality, how it can be delivered, and
who is responsible for its delivery; (2) AAL applications as the run-time composition of atomic
functionalities; (3) centrality of the user in the system.
Result: The Device-Goal-Norm framework is proposed to specify diagrams for different AAL
applications, together with the semantics to transform these diagrams into run-time models. We
also provide a running implementation of a run-time model based on the belief–desire–intention
paradigm.},
keywords = {AAL for the Elderly, Model at run-time, Reasoning},
pubstate = {published},
tppubtype = {article}
}
Context: Engineering Ambient Assisted Living applications for the elderly is challenging due
to the diversity and rapid changes of both end users’ needs and technological environment
equipment.
Objective: Assistive applications can be provided as combinations of functionalities provided by
IoT devices. With the pervasive availability of functionally equivalent IoT devices, they should
be selected according to the specific deployment context in terms of user needs and conditions,
device availability, and regulations when the operative context dynamic conditions can be set.
Such selection is the objective of this work.
Methods: We rely on a conceptual framework for self-adaptation as the enabler for a run-
time decision-making process. It allows for representing relations among IoT devices, the
functionalities they deliver, and the different modalities these functionalities are provided with
in terms of goals, devices, and norms. The framework is based on three fundamental principles:
(1) high-level abstractions separating the expected functionality, how it can be delivered, and
who is responsible for its delivery; (2) AAL applications as the run-time composition of atomic
functionalities; (3) centrality of the user in the system.
Result: The Device-Goal-Norm framework is proposed to specify diagrams for different AAL
applications, together with the semantics to transform these diagrams into run-time models. We
also provide a running implementation of a run-time model based on the belief–desire–intention
paradigm.
to the diversity and rapid changes of both end users’ needs and technological environment
equipment.
Objective: Assistive applications can be provided as combinations of functionalities provided by
IoT devices. With the pervasive availability of functionally equivalent IoT devices, they should
be selected according to the specific deployment context in terms of user needs and conditions,
device availability, and regulations when the operative context dynamic conditions can be set.
Such selection is the objective of this work.
Methods: We rely on a conceptual framework for self-adaptation as the enabler for a run-
time decision-making process. It allows for representing relations among IoT devices, the
functionalities they deliver, and the different modalities these functionalities are provided with
in terms of goals, devices, and norms. The framework is based on three fundamental principles:
(1) high-level abstractions separating the expected functionality, how it can be delivered, and
who is responsible for its delivery; (2) AAL applications as the run-time composition of atomic
functionalities; (3) centrality of the user in the system.
Result: The Device-Goal-Norm framework is proposed to specify diagrams for different AAL
applications, together with the semantics to transform these diagrams into run-time models. We
also provide a running implementation of a run-time model based on the belief–desire–intention
paradigm.
2022
Gatto, Luigi; Gaglio, Giuseppe Fulvio; Augello, Agnese; Caggianese, Giuseppe; Gallo, Luigi; Cascia, Marco La
MET-iquette: enabling virtual agents to have a social compliant behavior in the Metaverse Proceedings Article
In: 2022 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), pp. 394–401, 2022.
Abstract | Links | BibTeX | Tags: Avatars, Cognition, Emotional Appraisal, Metaverse, Model of Emotion, NPC, OCC, Reasoning, Scene Understanding, Social Agents, Social Practices
@inproceedings{gatto_met-iquette_2022,
title = {MET-iquette: enabling virtual agents to have a social compliant behavior in the Metaverse},
author = {Luigi Gatto and Giuseppe Fulvio Gaglio and Agnese Augello and Giuseppe Caggianese and Luigi Gallo and Marco La Cascia},
doi = {10.1109/SITIS57111.2022.00066},
year = {2022},
date = {2022-10-01},
booktitle = {2022 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)},
pages = {394–401},
abstract = {Metaverse aims at connecting the physical and digital world in a highly immersive virtual environment that can replicate society and social practices within it. It is populated not only by avatars corresponding to users but also by nonplayer characters (NPCs). These virtual agents should be able to perceive other agents and objects in the scene, reason and act preferably by exhibiting credible and acceptable social behavior. Relying on the Social Practice theory, this work proposes an architecture for the design and development of a virtual agent able to understand social practices in the Metaverse and act by respecting the social norms that the circumstances entail. The agent is equipped with modules for recognizing elements of the scene, knowledge and rules about a set of social practices. The scene information is exploited by a reasoning module that allows the agent to evaluate the current social practice, socially interpret the events, and activate the most appropriate behaviors. The paper describes the proposed architecture, its implementation, and the realization of an experimental virtual scenario.},
keywords = {Avatars, Cognition, Emotional Appraisal, Metaverse, Model of Emotion, NPC, OCC, Reasoning, Scene Understanding, Social Agents, Social Practices},
pubstate = {published},
tppubtype = {inproceedings}
}
Metaverse aims at connecting the physical and digital world in a highly immersive virtual environment that can replicate society and social practices within it. It is populated not only by avatars corresponding to users but also by nonplayer characters (NPCs). These virtual agents should be able to perceive other agents and objects in the scene, reason and act preferably by exhibiting credible and acceptable social behavior. Relying on the Social Practice theory, this work proposes an architecture for the design and development of a virtual agent able to understand social practices in the Metaverse and act by respecting the social norms that the circumstances entail. The agent is equipped with modules for recognizing elements of the scene, knowledge and rules about a set of social practices. The scene information is exploited by a reasoning module that allows the agent to evaluate the current social practice, socially interpret the events, and activate the most appropriate behaviors. The paper describes the proposed architecture, its implementation, and the realization of an experimental virtual scenario.
Augello, Agnese
Unveiling the Reasoning Processes of Robots through Introspective Dialogues in a Storytelling System: A Study on the Elicited Empathy Journal Article
In: Cognitive Systems Research, vol. 73, pp. 12–20, 2022, ISSN: 13890417.
Abstract | Links | BibTeX | Tags: ACT-R, Anthropomorphic Robots, Cognitive Architectures, Cognitive Systems, Empathy, Gestural user interfaces, Introspective Dialogs, Personality, Reasoning, Social Agents, Social Practices, Storytelling Robots
@article{augelloUnveilingReasoningProcesses2022,
title = {Unveiling the Reasoning Processes of Robots through Introspective Dialogues in a Storytelling System: A Study on the Elicited Empathy},
author = { Agnese Augello},
doi = {10.1016/j.cogsys.2021.11.006},
issn = {13890417},
year = {2022},
date = {2022-01-01},
journal = {Cognitive Systems Research},
volume = {73},
pages = {12--20},
abstract = {The work studies the empathy elicited by a storytelling system in which the characters in the story are interpreted by humanoid robots and modelled as cognitive agents. The ACT-R architecture is exploited to shape the characters' personalities and equip them with knowledge and behaviours typical of social practices. The narration is enriched with gestures and emotional expressions obtained by setting parameters that can be correlated to some emotions, such as the pitch and speech rate, the LEDs colour and the head inclination. The system has been evaluated by comparing a simple narrative modality with an enhanced one, where an introspective dialogue is adopted to explain and let transparent the internal reasoning processes of the characters. The obtained results show that storytelling affected the cognitive component of empathy, especially through the advanced narrative mode. textcopyright 2022 Elsevier B.V.},
keywords = {ACT-R, Anthropomorphic Robots, Cognitive Architectures, Cognitive Systems, Empathy, Gestural user interfaces, Introspective Dialogs, Personality, Reasoning, Social Agents, Social Practices, Storytelling Robots},
pubstate = {published},
tppubtype = {article}
}
The work studies the empathy elicited by a storytelling system in which the characters in the story are interpreted by humanoid robots and modelled as cognitive agents. The ACT-R architecture is exploited to shape the characters' personalities and equip them with knowledge and behaviours typical of social practices. The narration is enriched with gestures and emotional expressions obtained by setting parameters that can be correlated to some emotions, such as the pitch and speech rate, the LEDs colour and the head inclination. The system has been evaluated by comparing a simple narrative modality with an enhanced one, where an introspective dialogue is adopted to explain and let transparent the internal reasoning processes of the characters. The obtained results show that storytelling affected the cognitive component of empathy, especially through the advanced narrative mode. textcopyright 2022 Elsevier B.V.
Augello, Agnese
Unveiling the reasoning processes of robots through introspective dialogues in a storytelling system: A study on the elicited empathy Journal Article
In: Cognitive Systems Research, vol. 73, pp. 12–20, 2022, ISSN: 13890417.
Abstract | Links | BibTeX | Tags: ACT-R, Anthropomorphic Robots, Cognitive Architectures, Cognitive Systems, Empathy, Gestural user interfaces, Introspective Dialogs, Personality, Reasoning, Social Agents, Social Practices, Storytelling Robots
@article{augello_unveiling_2022,
title = {Unveiling the reasoning processes of robots through introspective dialogues in a storytelling system: A study on the elicited empathy},
author = {Agnese Augello},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122793053&doi=10.1016%2fj.cogsys.2021.11.006&partnerID=40&md5=4564d1566fc0aa809badb52cd9b60c96},
doi = {10.1016/j.cogsys.2021.11.006},
issn = {13890417},
year = {2022},
date = {2022-01-01},
journal = {Cognitive Systems Research},
volume = {73},
pages = {12–20},
abstract = {The work studies the empathy elicited by a storytelling system in which the characters in the story are interpreted by humanoid robots and modelled as cognitive agents. The ACT-R architecture is exploited to shape the characters’ personalities and equip them with knowledge and behaviours typical of social practices. The narration is enriched with gestures and emotional expressions obtained by setting parameters that can be correlated to some emotions, such as the pitch and speech rate, the LEDs colour and the head inclination. The system has been evaluated by comparing a simple narrative modality with an enhanced one, where an introspective dialogue is adopted to explain and let transparent the internal reasoning processes of the characters. The obtained results show that storytelling affected the cognitive component of empathy, especially through the advanced narrative mode. © 2022 Elsevier B.V.},
keywords = {ACT-R, Anthropomorphic Robots, Cognitive Architectures, Cognitive Systems, Empathy, Gestural user interfaces, Introspective Dialogs, Personality, Reasoning, Social Agents, Social Practices, Storytelling Robots},
pubstate = {published},
tppubtype = {article}
}
The work studies the empathy elicited by a storytelling system in which the characters in the story are interpreted by humanoid robots and modelled as cognitive agents. The ACT-R architecture is exploited to shape the characters’ personalities and equip them with knowledge and behaviours typical of social practices. The narration is enriched with gestures and emotional expressions obtained by setting parameters that can be correlated to some emotions, such as the pitch and speech rate, the LEDs colour and the head inclination. The system has been evaluated by comparing a simple narrative modality with an enhanced one, where an introspective dialogue is adopted to explain and let transparent the internal reasoning processes of the characters. The obtained results show that storytelling affected the cognitive component of empathy, especially through the advanced narrative mode. © 2022 Elsevier B.V.
2020
Bono, Adriana; Augello, Agnese; Gentile, Manuel; Gaglio, Salvatore
Social Practices Based Characters in a Robotic Storytelling System Proceedings Article
In: 29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020, pp. 90–95, Institute of Electrical and Electronics Engineers Inc., 2020, ISBN: 978-1-72816-075-7.
Abstract | Links | BibTeX | Tags: ACT-R, Cognitive Architectures, Cognitive Systems, Education, Reasoning, Robotics, Social Practices
@inproceedings{bonoSocialPracticesBased2020,
title = {Social Practices Based Characters in a Robotic Storytelling System},
author = { Adriana Bono and Agnese Augello and Manuel Gentile and Salvatore Gaglio},
doi = {10.1109/RO-MAN47096.2020.9223501},
isbn = {978-1-72816-075-7},
year = {2020},
date = {2020-01-01},
booktitle = {29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020},
pages = {90--95},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {In this work, we present a robotic storytelling system, where the characters have been modelled as cognitive agents embodied in Pepper and NAO robots. The characters have been designed by exploiting the ACT-R architecture, taking into account knowledge, behaviours, norms, and expectations typical of social practices and desires resulting from their personality. The characters explain their reasoning processes during the narration, through a sort of internal dialogue that generate a high level of credibility experienced over the audience. textcopyright 2020 IEEE.},
keywords = {ACT-R, Cognitive Architectures, Cognitive Systems, Education, Reasoning, Robotics, Social Practices},
pubstate = {published},
tppubtype = {inproceedings}
}
In this work, we present a robotic storytelling system, where the characters have been modelled as cognitive agents embodied in Pepper and NAO robots. The characters have been designed by exploiting the ACT-R architecture, taking into account knowledge, behaviours, norms, and expectations typical of social practices and desires resulting from their personality. The characters explain their reasoning processes during the narration, through a sort of internal dialogue that generate a high level of credibility experienced over the audience. textcopyright 2020 IEEE.
Bono, Adriana; Augello, Agnese; Gentile, Manuel; Gaglio, Salvatore
Social Practices based characters in a Robotic Storytelling System Proceedings Article
In: 29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020, pp. 90–95, Institute of Electrical and Electronics Engineers Inc., 2020, ISBN: 978-1-72816-075-7.
Abstract | Links | BibTeX | Tags: ACT-R, Cognitive Architectures, Cognitive Systems, Education, Reasoning, Robotics, Social Practices
@inproceedings{bono_social_2020,
title = {Social Practices based characters in a Robotic Storytelling System},
author = {Adriana Bono and Agnese Augello and Manuel Gentile and Salvatore Gaglio},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85095730937&doi=10.1109%2fRO-MAN47096.2020.9223501&partnerID=40&md5=aa487981e36f25abff7e7dd8dadef50e},
doi = {10.1109/RO-MAN47096.2020.9223501},
isbn = {978-1-72816-075-7},
year = {2020},
date = {2020-01-01},
booktitle = {29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020},
pages = {90–95},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {In this work, we present a robotic storytelling system, where the characters have been modelled as cognitive agents embodied in Pepper and NAO robots. The characters have been designed by exploiting the ACT-R architecture, taking into account knowledge, behaviours, norms, and expectations typical of social practices and desires resulting from their personality. The characters explain their reasoning processes during the narration, through a sort of internal dialogue that generate a high level of credibility experienced over the audience. © 2020 IEEE.},
keywords = {ACT-R, Cognitive Architectures, Cognitive Systems, Education, Reasoning, Robotics, Social Practices},
pubstate = {published},
tppubtype = {inproceedings}
}
In this work, we present a robotic storytelling system, where the characters have been modelled as cognitive agents embodied in Pepper and NAO robots. The characters have been designed by exploiting the ACT-R architecture, taking into account knowledge, behaviours, norms, and expectations typical of social practices and desires resulting from their personality. The characters explain their reasoning processes during the narration, through a sort of internal dialogue that generate a high level of credibility experienced over the audience. © 2020 IEEE.