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.
2018
Augello, Agnese; Dignum, Frank; Gentile, Manuel; Infantino, Ignazio; Maniscalco, Umberto; Pilato, Giovanni; Vella, Filippo
A Social Practice Oriented Signs Detection for Human-Humanoid Interaction Journal Article
In: Biologically Inspired Cognitive Architectures, vol. 25, pp. 8–16, 2018, ISSN: 2212683X.
Abstract | Links | BibTeX | Tags: Cognitive Architectures, Human Robot Interaction, Social Context, Social Practices, Social Robots
@article{augelloSocialPracticeOriented2018,
title = {A Social Practice Oriented Signs Detection for Human-Humanoid Interaction},
author = { Agnese Augello and Frank Dignum and Manuel Gentile and Ignazio Infantino and Umberto Maniscalco and Giovanni Pilato and Filippo Vella},
doi = {10.1016/j.bica.2018.07.013},
issn = {2212683X},
year = {2018},
date = {2018-01-01},
journal = {Biologically Inspired Cognitive Architectures},
volume = {25},
pages = {8--16},
abstract = {In this work we propose a cognitive architecture, based on the Social Practice (SP) theory, aimed at the modeling of socially adaptive robots, able to interact with people, recognizing and interpreting the specific social context where it is acting. The proposed social robot is able to recognize and interpret social signs during ongoing social practices. The cognitive architecture is inspired by the well-known Psi model, and it is equipped with a Social Practice Engine that manages the whole conduct of the robot. The use of such an architecture simplifies and makes more natural the interaction between human beings and a robot. In particular, the scenario of a robot fulfilling the tasks of welcoming people in an office environment is being considered. textcopyright 2018 Elsevier B.V.},
keywords = {Cognitive Architectures, Human Robot Interaction, Social Context, Social Practices, Social Robots},
pubstate = {published},
tppubtype = {article}
}
In this work we propose a cognitive architecture, based on the Social Practice (SP) theory, aimed at the modeling of socially adaptive robots, able to interact with people, recognizing and interpreting the specific social context where it is acting. The proposed social robot is able to recognize and interpret social signs during ongoing social practices. The cognitive architecture is inspired by the well-known Psi model, and it is equipped with a Social Practice Engine that manages the whole conduct of the robot. The use of such an architecture simplifies and makes more natural the interaction between human beings and a robot. In particular, the scenario of a robot fulfilling the tasks of welcoming people in an office environment is being considered. textcopyright 2018 Elsevier B.V.
Clodic, Aurélie; Vazquez-Salceda, Javier; Dignum, Frank; Mascarenhas, Samuel; Dignum, Virginia; Augello, Agnese; Gentile, Manuel; Alami, Rachid
On the Pertinence of Social Practices for Social Robotics Journal Article
In: Frontiers in Artificial Intelligence and Applications, vol. 311, pp. 63–74, 2018, ISSN: 09226389.
Abstract | Links | BibTeX | Tags: Human Robot Interaction, Robotics, Social Context, Social Practices
@article{clodicPertinenceSocialPractices2018,
title = {On the Pertinence of Social Practices for Social Robotics},
author = { Aurélie Clodic and Javier {Vazquez-Salceda} and Frank Dignum and Samuel Mascarenhas and Virginia Dignum and Agnese Augello and Manuel Gentile and Rachid Alami},
editor = { Loh J. Norskov M. Coeckelbergh M. Seibt J. Funk M.},
doi = {10.3233/978-1-61499-931-7-63},
issn = {09226389},
year = {2018},
date = {2018-01-01},
journal = {Frontiers in Artificial Intelligence and Applications},
volume = {311},
pages = {63--74},
abstract = {In the area of consumer robots that need to have rich social interactions with humans, one of the challenges is the complexity of computing the appropriate interactions in a cognitive, social and physical context. We propose a novel approach for social robots based on the concept of Social Practices. By using social practices robots are able to be aware of their own social identities (given by the role in the social practice) and the identities of others and also be able to identify the different social contexts and the appropriate social interactions that go along with those contexts and identities. textcopyright 2018 The authors and IOS Press. All rights reserved.},
keywords = {Human Robot Interaction, Robotics, Social Context, Social Practices},
pubstate = {published},
tppubtype = {article}
}
In the area of consumer robots that need to have rich social interactions with humans, one of the challenges is the complexity of computing the appropriate interactions in a cognitive, social and physical context. We propose a novel approach for social robots based on the concept of Social Practices. By using social practices robots are able to be aware of their own social identities (given by the role in the social practice) and the identities of others and also be able to identify the different social contexts and the appropriate social interactions that go along with those contexts and identities. textcopyright 2018 The authors and IOS Press. All rights reserved.
Clodic, Aurélie; Vazquez-Salceda, Javier; Dignum, Frank; Mascarenhas, Samuel; Dignum, Virginia; Augello, Agnese; Gentile, Manuel; Alami, Rachid
On the pertinence of social practices for social robotics Journal Article
In: Frontiers in Artificial Intelligence and Applications, vol. 311, pp. 63–74, 2018, ISSN: 09226389.
Abstract | Links | BibTeX | Tags: Human Robot Interaction, Robotics, Social Context, Social Practices
@article{clodic_pertinence_2018,
title = {On the pertinence of social practices for social robotics},
author = {Aurélie Clodic and Javier Vazquez-Salceda and Frank Dignum and Samuel Mascarenhas and Virginia Dignum and Agnese Augello and Manuel Gentile and Rachid Alami},
editor = {Norskov M. Loh J. Funk M.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85058246800&doi=10.3233%2f978-1-61499-931-7-63&partnerID=40&md5=b6dea7693678d23e4127d1b9597f0d20},
doi = {10.3233/978-1-61499-931-7-63},
issn = {09226389},
year = {2018},
date = {2018-01-01},
journal = {Frontiers in Artificial Intelligence and Applications},
volume = {311},
pages = {63–74},
abstract = {In the area of consumer robots that need to have rich social interactions with humans, one of the challenges is the complexity of computing the appropriate interactions in a cognitive, social and physical context. We propose a novel approach for social robots based on the concept of Social Practices. By using social practices robots are able to be aware of their own social identities (given by the role in the social practice) and the identities of others and also be able to identify the different social contexts and the appropriate social interactions that go along with those contexts and identities. © 2018 The authors and IOS Press. All rights reserved.},
keywords = {Human Robot Interaction, Robotics, Social Context, Social Practices},
pubstate = {published},
tppubtype = {article}
}
In the area of consumer robots that need to have rich social interactions with humans, one of the challenges is the complexity of computing the appropriate interactions in a cognitive, social and physical context. We propose a novel approach for social robots based on the concept of Social Practices. By using social practices robots are able to be aware of their own social identities (given by the role in the social practice) and the identities of others and also be able to identify the different social contexts and the appropriate social interactions that go along with those contexts and identities. © 2018 The authors and IOS Press. All rights reserved.
Augello, Agnese; Dignum, Frank; Gentile, Manuel; Infantino, Ignazio; Maniscalco, Umberto; Pilato, Giovanni; Vella, Filippo
A social practice oriented signs detection for human-humanoid interaction Journal Article
In: Biologically Inspired Cognitive Architectures, vol. 25, pp. 8–16, 2018, ISSN: 2212683X.
Abstract | Links | BibTeX | Tags: Cognitive Architectures, Human Robot Interaction, Social Context, Social Practices, Social Robots
@article{augello_social_2018-1,
title = {A social practice oriented signs detection for human-humanoid interaction},
author = {Agnese Augello and Frank Dignum and Manuel Gentile and Ignazio Infantino and Umberto Maniscalco and Giovanni Pilato and Filippo Vella},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85052488332&doi=10.1016%2fj.bica.2018.07.013&partnerID=40&md5=43ba89b15faf7fac6e16670bb9eeb858},
doi = {10.1016/j.bica.2018.07.013},
issn = {2212683X},
year = {2018},
date = {2018-01-01},
journal = {Biologically Inspired Cognitive Architectures},
volume = {25},
pages = {8–16},
abstract = {In this work we propose a cognitive architecture, based on the Social Practice (SP) theory, aimed at the modeling of socially adaptive robots, able to interact with people, recognizing and interpreting the specific social context where it is acting. The proposed social robot is able to recognize and interpret social signs during ongoing social practices. The cognitive architecture is inspired by the well-known Psi model, and it is equipped with a Social Practice Engine that manages the whole conduct of the robot. The use of such an architecture simplifies and makes more natural the interaction between human beings and a robot. In particular, the scenario of a robot fulfilling the tasks of welcoming people in an office environment is being considered. © 2018 Elsevier B.V.},
keywords = {Cognitive Architectures, Human Robot Interaction, Social Context, Social Practices, Social Robots},
pubstate = {published},
tppubtype = {article}
}
In this work we propose a cognitive architecture, based on the Social Practice (SP) theory, aimed at the modeling of socially adaptive robots, able to interact with people, recognizing and interpreting the specific social context where it is acting. The proposed social robot is able to recognize and interpret social signs during ongoing social practices. The cognitive architecture is inspired by the well-known Psi model, and it is equipped with a Social Practice Engine that manages the whole conduct of the robot. The use of such an architecture simplifies and makes more natural the interaction between human beings and a robot. In particular, the scenario of a robot fulfilling the tasks of welcoming people in an office environment is being considered. © 2018 Elsevier B.V.
2016
Augello, Agnese; Gentile, Manuel; Dignum, Frank
Social Agents for Learning in Virtual Environments Journal Article
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10056 LNCS, pp. 133–143, 2016, ISSN: 03029743.
Abstract | Links | BibTeX | Tags: Conversational Agents, E-Learning, Education, IVA, Serious game, Social Agents, Social Context, Social Practices, Virtual Reality
@article{augelloSocialAgentsLearning2016,
title = {Social Agents for Learning in Virtual Environments},
author = { Agnese Augello and Manuel Gentile and Frank Dignum},
editor = { Jeuring J. Veltkamp R.C. Bottino R.},
doi = {10.1007/978-3-319-50182-6_12},
issn = {03029743},
year = {2016},
date = {2016-01-01},
journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
volume = {10056 LNCS},
pages = {133--143},
abstract = {Several serious games have been proposed to practice communication strategies in formal contexts. Intelligent virtual agents (IVA) can be used to show the player the effects of a conversational move. In this paper we discuss the key role of using social context for the virtual agents in these serious games. Social practices are exploited to bundle social interactions into standard packages and as a basis to model the deliberation processes of IVAs. We describe a social practice oriented IVA architecture used in the implementation of a serious game for the practicing of communication in medical interviews. textcopyright Springer International Publishing AG 2016.},
keywords = {Conversational Agents, E-Learning, Education, IVA, Serious game, Social Agents, Social Context, Social Practices, Virtual Reality},
pubstate = {published},
tppubtype = {article}
}
Several serious games have been proposed to practice communication strategies in formal contexts. Intelligent virtual agents (IVA) can be used to show the player the effects of a conversational move. In this paper we discuss the key role of using social context for the virtual agents in these serious games. Social practices are exploited to bundle social interactions into standard packages and as a basis to model the deliberation processes of IVAs. We describe a social practice oriented IVA architecture used in the implementation of a serious game for the practicing of communication in medical interviews. textcopyright Springer International Publishing AG 2016.
Augello, Agnese; Gentile, Manuel; Dignum, Frank
Social agents for learning in virtual environments Journal Article
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10056 LNCS, pp. 133–143, 2016, ISSN: 03029743.
Abstract | Links | BibTeX | Tags: Conversational Agents, E-Learning, Education, IVA, Serious game, Social Agents, Social Context, Social Practices, Virtual Reality
@article{augello_social_2016,
title = {Social agents for learning in virtual environments},
author = {Agnese Augello and Manuel Gentile and Frank Dignum},
editor = {Veltkamp R. C. Jeuring J. Bottino R.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006036432&doi=10.1007%2f978-3-319-50182-6_12&partnerID=40&md5=e7d1d4e46a92c9cf9d943639fc5dbbc9},
doi = {10.1007/978-3-319-50182-6_12},
issn = {03029743},
year = {2016},
date = {2016-01-01},
journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
volume = {10056 LNCS},
pages = {133–143},
abstract = {Several serious games have been proposed to practice communication strategies in formal contexts. Intelligent virtual agents (IVA) can be used to show the player the effects of a conversational move. In this paper we discuss the key role of using social context for the virtual agents in these serious games. Social practices are exploited to bundle social interactions into standard packages and as a basis to model the deliberation processes of IVAs. We describe a social practice oriented IVA architecture used in the implementation of a serious game for the practicing of communication in medical interviews. © Springer International Publishing AG 2016.},
keywords = {Conversational Agents, E-Learning, Education, IVA, Serious game, Social Agents, Social Context, Social Practices, Virtual Reality},
pubstate = {published},
tppubtype = {article}
}
Several serious games have been proposed to practice communication strategies in formal contexts. Intelligent virtual agents (IVA) can be used to show the player the effects of a conversational move. In this paper we discuss the key role of using social context for the virtual agents in these serious games. Social practices are exploited to bundle social interactions into standard packages and as a basis to model the deliberation processes of IVAs. We describe a social practice oriented IVA architecture used in the implementation of a serious game for the practicing of communication in medical interviews. © Springer International Publishing AG 2016.