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    Cloud services for culture aware conversation: socially assistive robots and virtual assistants

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    Authors
    Recchuto, Carmine
    Gava, Luna
    Grassi, Lucrezia
    Grillo, Alberto
    Lagomarsino, Marta
    Lanza, Davide
    Liu, Zijian
    Papadopoulos, Chris
    Papadopoulos, Irena
    Scalmato, Antonello
    Sgorbissa, Antonio
    Show allShow less
    Affiliation
    University of Genova
    University of Bedfordshire
    Middlesex University
    Pillo Labs S.r.l.
    University of Genova
    Issue Date
    2020-07-21
    Subjects
    socially assistive robots
    
    Metadata
    Show full item record
    Abstract
    This paper introduces a new Cloud platform providing services for culturally competent interaction, that has been developed to expand the capabilities of Socially Assistive Robots and virtual assistants interacting with older persons. The rationale behind the proposed architecture is discussed, by outlining key principles as well as the functionalities provided, with a specific focus on verbal interaction. Three case studies, the humanoid robot Pepper, a robotic medicine dispenser Pillo, and a custom-built Android-based virtual assistant, are analyzed in detail, by showing how robots and other assistants may easily access culturally competent Cloud services to expand their interaction capabilities. Transcripts of conversations are reported and commented, in order to outline both the positive features and the limitations of the system.
    Citation
    Recchuto C, Gava L, Grassi L, Grillo A, Lagomarsino M, Lanza D, Liu Z, Papadopoulos C, Papadopoulos I, Scalmato A, Sgorbissa A (2020) 'Cloud services for culture aware conversation: socially assistive robots and virtual assistants', 17th International Conference on Ubiquitous Robots (UR) - Kyoto, Institute of Electrical and Electronics Engineers Inc..
    Publisher
    Institute of Electrical and Electronics Engineers Inc.
    URI
    http://hdl.handle.net/10547/624758
    DOI
    10.1109/UR49135.2020.9144750
    Additional Links
    https://ieeexplore.ieee.org/document/9144750
    Type
    Conference papers, meetings and proceedings
    Language
    en
    ISBN
    9781728157153
    ae974a485f413a2113503eed53cd6c53
    10.1109/UR49135.2020.9144750
    Scopus Count
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