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    CASIE – Computing affect and social intelligence for healthcare in an ethical and trustworthy manner


    Vasiliu, Laurentiu and Cortis, Keith and McDermott, Ross and Kerr, Aphra and Peters, Arne and Hesse, Marc and Hagemeyer, Jens and Belpaeme, Tony and McDonald, John and Villing, Rudi and Mileo, Alessandra and Caputo, Annalina and Scriney, Michael and Griffiths, Sascha and Koumpis, Adamantios and Davis, Brian (2021) CASIE – Computing affect and social intelligence for healthcare in an ethical and trustworthy manner. Paladyn, Journal of Behavioral Robotics, 12 (1). pp. 437-453. ISSN 2081-4836

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    Abstract

    This article explores the rapidly advancing innovation to endow robots with social intelligence capabilities in the form of multilingual and multimodal emotion recognition, and emotion-aware decision-making capabilities, for contextually appropriate robot behaviours and cooperative social human–robot interaction for the healthcare domain. The objective is to enable robots to become trustworthy and versatile social robots capable of having human-friendly and human assistive interactions, utilised to better assist human users’ needs by enabling the robot to sense, adapt, and respond appropriately to their requirements while taking into consideration their wider affective, motivational states, and behaviour. We propose an innovative approach to the difficult research challenge of endowing robots with social intelligence capabilities for human assistive interactions, going beyond the conventional robotic sense-think-act loop. We propose an architecture that addresses a wide range of social cooperation skills and features required for real human–robot social interaction, which includes language and vision analysis, dynamic emotional analysis (long-term affect and mood), semantic mapping to improve the robot’s knowledge of the local context, situational knowledge representation, and emotion-aware decision-making. Fundamental to this architecture is a normative ethical and social framework adapted to the specific challenges of robots engaging with caregivers and care-receivers.

    Item Type: Article
    Keywords: social human–robot interaction; sHRI; computing affect; emotion analysis; healthcare robots; robot-assisted care; robot ethics;
    Academic Unit: Assisting Living & Learning,ALL institute
    Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 15710
    Identification Number: https://doi.org/10.1515/pjbr-2021-0026
    Depositing User: Rudi Villing
    Date Deposited: 22 Mar 2022 12:27
    Journal or Publication Title: Paladyn, Journal of Behavioral Robotics
    Publisher: De Gruyter
    Refereed: Yes
    URI:

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