Publications

@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}

}

@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}

}

@article{augelloDetectionUserActivities2014,

title = {Detection of User Activities in Intelligent Environments},

author = { Agnese Augello and Salvatore Gaglio},

doi = {10.1007/978-3-319-03992-3_2},

issn = {21945357},

year  = {2014},

date = {2014-01-01},

journal = {Advances in Intelligent Systems and Computing},

volume = {260},

pages = {19--32},

abstract = {Research on Ambient Intelligence (AmI) focuses on the development of smart environments adaptable to the needs and preferences of their inhabitants. For this reason it is important to understand and model user preferences. In this chapter we describe a system to detect user behavior patterns in an intelligent workplace. The system is designed for a workplace equipped in the context of Sensor9k, a project carried out at the Department of Computer Science at the University of Palermo (Italy). textcopyright Springer International Publishing Switzerland 2014.},

keywords = {Ambient intelligence, Behavioral Research, Intelligent Environment, User Behavior Analysis},

pubstate = {published},

tppubtype = {article}

}

@article{augello_detection_2014,

title = {Detection of user activities in intelligent environments},

author = {Agnese Augello and Salvatore Gaglio},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84903729976&doi=10.1007%2f978-3-319-03992-3_2&partnerID=40&md5=5280f33f184d7723e4506e1cb87438aa},

doi = {10.1007/978-3-319-03992-3_2},

issn = {21945357},

year  = {2014},

date = {2014-01-01},

journal = {Advances in Intelligent Systems and Computing},

volume = {260},

pages = {19–32},

abstract = {Research on Ambient Intelligence (AmI) focuses on the development of smart environments adaptable to the needs and preferences of their inhabitants. For this reason it is important to understand and model user preferences. In this chapter we describe a system to detect user behavior patterns in an intelligent workplace. The system is designed for a workplace equipped in the context of Sensor9k, a project carried out at the Department of Computer Science at the University of Palermo (Italy). © Springer International Publishing Switzerland 2014.},

keywords = {Ambient intelligence, Behavioral Research, Intelligent Environment, User Behavior Analysis},

pubstate = {published},

tppubtype = {article}

}