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
Augello, Agnese; Città, Giuseppe; Gentile, Manuel; Lieto, Antonio
A storytelling robot managing persuasive and ethical stances via act-r: an exploratory study Journal Article
In: International Journal of Social Robotics, vol. 15, no. 12, pp. 2115–2131, 2023, ISSN: 18754791.
Abstract | Links | BibTeX | Tags: Ethical Argumentation, Ethics, Persuasive Systems, Social Agents, Social Robots, Storytelling Robots
@article{agnese_augello_storytelling_2023,
title = {A storytelling robot managing persuasive and ethical stances via act-r: an exploratory study},
author = {Agnese Augello and Giuseppe Città and Manuel Gentile and Antonio Lieto},
doi = {doi:10.1007/s12369-021-00847-w},
issn = {18754791},
year = {2023},
date = {2023-01-01},
journal = {International Journal of Social Robotics},
volume = {15},
number = {12},
pages = {2115–2131},
series = {Springer Netherlands},
abstract = {We present a storytelling robot, controlled via the ACT-R cognitive architecture, able to adopt different persuasive techniques and ethical stances while conversing about some topics concerning COVID-19. The main contribution of the paper consists in the proposal of a needs-driven model that guides and evaluates, during the dialogue, the use (if any) of persuasive techniques available in the agent procedural memory. The portfolio of persuasive techniques tested in such a model ranges from the use of storytelling to framing techniques and rhetorical-based arguments. To the best of our knowledge, this represents the first attempt of building a persuasive agent able to integrate a mix of explicitly grounded cognitive assumptions about dialogue management, storytelling and persuasive techniques as well as ethical attitudes. The paper presents the results of an exploratory evaluation of the system on 63 participants.},
keywords = {Ethical Argumentation, Ethics, Persuasive Systems, Social Agents, Social Robots, Storytelling Robots},
pubstate = {published},
tppubtype = {article}
}
We present a storytelling robot, controlled via the ACT-R cognitive architecture, able to adopt different persuasive techniques and ethical stances while conversing about some topics concerning COVID-19. The main contribution of the paper consists in the proposal of a needs-driven model that guides and evaluates, during the dialogue, the use (if any) of persuasive techniques available in the agent procedural memory. The portfolio of persuasive techniques tested in such a model ranges from the use of storytelling to framing techniques and rhetorical-based arguments. To the best of our knowledge, this represents the first attempt of building a persuasive agent able to integrate a mix of explicitly grounded cognitive assumptions about dialogue management, storytelling and persuasive techniques as well as ethical attitudes. The paper presents the results of an exploratory evaluation of the system on 63 participants.
2021
Augello, Agnese; Citt`a, Giuseppe; Gentile, Manuel; Lieto, Antonio
A Storytelling Robot Managing Persuasive and Ethical Stances via ACT-R: An Exploratory Study Journal Article
In: International Journal of Social Robotics, 2021, ISSN: 18754791.
Abstract | Links | BibTeX | Tags: Cognitive Architectures, Covid-19, Dialogue Management, Ethical Argumentation, Ethics, Persuasive Systems, Social Robots, Storytelling Robots
@article{augelloStorytellingRobotManaging2021,
title = {A Storytelling Robot Managing Persuasive and Ethical Stances via ACT-R: An Exploratory Study},
author = { Agnese Augello and Giuseppe Citt{`a} and Manuel Gentile and Antonio Lieto},
doi = {10.1007/s12369-021-00847-w},
issn = {18754791},
year = {2021},
date = {2021-01-01},
journal = {International Journal of Social Robotics},
abstract = {We present a storytelling robot, controlled via the ACT-R cognitive architecture, able to adopt different persuasive techniques and ethical stances while conversing about some topics concerning COVID-19. The main contribution of the paper consists in the proposal of a needs-driven model that guides and evaluates, during the dialogue, the use (if any) of persuasive techniques available in the agent procedural memory. The portfolio of persuasive techniques tested in such a model ranges from the use of storytelling to framing techniques and rhetorical-based arguments. To the best of our knowledge, this represents the first attempt of building a persuasive agent able to integrate a mix of explicitly grounded cognitive assumptions about dialogue management, storytelling and persuasive techniques as well as ethical attitudes. The paper presents the results of an exploratory evaluation of the system on 63 participants. textcopyright 2021, The Author(s).},
keywords = {Cognitive Architectures, Covid-19, Dialogue Management, Ethical Argumentation, Ethics, Persuasive Systems, Social Robots, Storytelling Robots},
pubstate = {published},
tppubtype = {article}
}
We present a storytelling robot, controlled via the ACT-R cognitive architecture, able to adopt different persuasive techniques and ethical stances while conversing about some topics concerning COVID-19. The main contribution of the paper consists in the proposal of a needs-driven model that guides and evaluates, during the dialogue, the use (if any) of persuasive techniques available in the agent procedural memory. The portfolio of persuasive techniques tested in such a model ranges from the use of storytelling to framing techniques and rhetorical-based arguments. To the best of our knowledge, this represents the first attempt of building a persuasive agent able to integrate a mix of explicitly grounded cognitive assumptions about dialogue management, storytelling and persuasive techniques as well as ethical attitudes. The paper presents the results of an exploratory evaluation of the system on 63 participants. textcopyright 2021, The Author(s).
Augello, Agnese; Città, Giuseppe; Gentile, Manuel; Lieto, Antonio
A Storytelling Robot Managing Persuasive and Ethical Stances via ACT-R: An Exploratory Study Journal Article
In: International Journal of Social Robotics, 2021, ISSN: 18754791.
Abstract | Links | BibTeX | Tags: Cognitive Architectures, Covid-19, Dialogue Management, Ethical Argumentation, Ethics, Persuasive Systems, Social Robots, Storytelling Robots
@article{augello_storytelling_2021,
title = {A Storytelling Robot Managing Persuasive and Ethical Stances via ACT-R: An Exploratory Study},
author = {Agnese Augello and Giuseppe Città and Manuel Gentile and Antonio Lieto},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121601016&doi=10.1007%2fs12369-021-00847-w&partnerID=40&md5=6ed1b6862dda29230d8337b9c4e2e0f9},
doi = {10.1007/s12369-021-00847-w},
issn = {18754791},
year = {2021},
date = {2021-01-01},
journal = {International Journal of Social Robotics},
abstract = {We present a storytelling robot, controlled via the ACT-R cognitive architecture, able to adopt different persuasive techniques and ethical stances while conversing about some topics concerning COVID-19. The main contribution of the paper consists in the proposal of a needs-driven model that guides and evaluates, during the dialogue, the use (if any) of persuasive techniques available in the agent procedural memory. The portfolio of persuasive techniques tested in such a model ranges from the use of storytelling to framing techniques and rhetorical-based arguments. To the best of our knowledge, this represents the first attempt of building a persuasive agent able to integrate a mix of explicitly grounded cognitive assumptions about dialogue management, storytelling and persuasive techniques as well as ethical attitudes. The paper presents the results of an exploratory evaluation of the system on 63 participants. © 2021, The Author(s).},
keywords = {Cognitive Architectures, Covid-19, Dialogue Management, Ethical Argumentation, Ethics, Persuasive Systems, Social Robots, Storytelling Robots},
pubstate = {published},
tppubtype = {article}
}
We present a storytelling robot, controlled via the ACT-R cognitive architecture, able to adopt different persuasive techniques and ethical stances while conversing about some topics concerning COVID-19. The main contribution of the paper consists in the proposal of a needs-driven model that guides and evaluates, during the dialogue, the use (if any) of persuasive techniques available in the agent procedural memory. The portfolio of persuasive techniques tested in such a model ranges from the use of storytelling to framing techniques and rhetorical-based arguments. To the best of our knowledge, this represents the first attempt of building a persuasive agent able to integrate a mix of explicitly grounded cognitive assumptions about dialogue management, storytelling and persuasive techniques as well as ethical attitudes. The paper presents the results of an exploratory evaluation of the system on 63 participants. © 2021, The Author(s).
2018
Dignum, Virginia; Dignum, Frank; Vazquez-Salceda, Javier; Clodic, A.; Gentile, Manuel; Mascarenhas, Samuel; Augello, Agnese
Design for Values for Social Robot Architectures Journal Article
In: Frontiers in Artificial Intelligence and Applications, vol. 311, pp. 43–52, 2018, ISSN: 09226389.
Abstract | Links | BibTeX | Tags: Behavioral Research, Ethics, Human Robot Interaction, Responsible AI, Robotics, Social Practices
@article{dignumDesignValuesSocial2018,
title = {Design for Values for Social Robot Architectures},
author = { Virginia Dignum and Frank Dignum and Javier {Vazquez-Salceda} and A. Clodic and Manuel Gentile and Samuel Mascarenhas and Agnese Augello},
editor = { Loh J. Norskov M. Coeckelbergh M. Seibt J. Funk M.},
doi = {10.3233/978-1-61499-931-7-43},
issn = {09226389},
year = {2018},
date = {2018-01-01},
journal = {Frontiers in Artificial Intelligence and Applications},
volume = {311},
pages = {43--52},
abstract = {The integration of social robots in human societies requires that they are capable to take decisions that may affect the lives of people around them. In order to ensure that these robots will behave according to shared ethical principles, an important shift in the design and development of social robots is needed, one where the main goal is improving ethical transparency rather than technical performance, and placing human values at the core of robot designs. In this abstract, we discuss the concept of ethical decision making and how to achieve trust according to the principles of Autonomy, Responsibility and Transparency (ART). textcopyright 2018 The authors and IOS Press. All rights reserved.},
keywords = {Behavioral Research, Ethics, Human Robot Interaction, Responsible AI, Robotics, Social Practices},
pubstate = {published},
tppubtype = {article}
}
The integration of social robots in human societies requires that they are capable to take decisions that may affect the lives of people around them. In order to ensure that these robots will behave according to shared ethical principles, an important shift in the design and development of social robots is needed, one where the main goal is improving ethical transparency rather than technical performance, and placing human values at the core of robot designs. In this abstract, we discuss the concept of ethical decision making and how to achieve trust according to the principles of Autonomy, Responsibility and Transparency (ART). textcopyright 2018 The authors and IOS Press. All rights reserved.
Dignum, Virginia; Dignum, Frank; Vazquez-Salceda, Javier; Clodic, A.; Gentile, Manuel; Mascarenhas, Samuel; Augello, Agnese
Design for values for social robot architectures Journal Article
In: Frontiers in Artificial Intelligence and Applications, vol. 311, pp. 43–52, 2018, ISSN: 09226389.
Abstract | Links | BibTeX | Tags: Behavioral Research, Ethics, Human Robot Interaction, Responsible AI, Robotics, Social Practices
@article{dignum_design_2018,
title = {Design for values for social robot architectures},
author = {Virginia Dignum and Frank Dignum and Javier Vazquez-Salceda and A. Clodic and Manuel Gentile and Samuel Mascarenhas and Agnese Augello},
editor = {Norskov M. Loh J. Funk M.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85058222837&doi=10.3233%2f978-1-61499-931-7-43&partnerID=40&md5=dab1f635e2f9f043c7d1f81a8a2768d8},
doi = {10.3233/978-1-61499-931-7-43},
issn = {09226389},
year = {2018},
date = {2018-01-01},
journal = {Frontiers in Artificial Intelligence and Applications},
volume = {311},
pages = {43–52},
abstract = {The integration of social robots in human societies requires that they are capable to take decisions that may affect the lives of people around them. In order to ensure that these robots will behave according to shared ethical principles, an important shift in the design and development of social robots is needed, one where the main goal is improving ethical transparency rather than technical performance, and placing human values at the core of robot designs. In this abstract, we discuss the concept of ethical decision making and how to achieve trust according to the principles of Autonomy, Responsibility and Transparency (ART). © 2018 The authors and IOS Press. All rights reserved.},
keywords = {Behavioral Research, Ethics, Human Robot Interaction, Responsible AI, Robotics, Social Practices},
pubstate = {published},
tppubtype = {article}
}
The integration of social robots in human societies requires that they are capable to take decisions that may affect the lives of people around them. In order to ensure that these robots will behave according to shared ethical principles, an important shift in the design and development of social robots is needed, one where the main goal is improving ethical transparency rather than technical performance, and placing human values at the core of robot designs. In this abstract, we discuss the concept of ethical decision making and how to achieve trust according to the principles of Autonomy, Responsibility and Transparency (ART). © 2018 The authors and IOS Press. All rights reserved.