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

Vasiliu, Laurentiu; Cortis, Keith; McDermott, Ross; Kerr, Aphra; Peters, Arne; Hesse, Marc; Hagemeyer, Jens; Belpaeme, Tony; McDonald, John; Villing, Rudi; Mileo, Alessandra; Capulto, Annalina; Scriney, Michael; Griffiths, Sascha; Koumpis, Adamantios; 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. De Gruyter 10.1515/pjbr-2021-0026

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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:

Journal Article (Original Article)

Division/Institute:

Business School > Institute for Digital Technology Management
Business School > Institute for Digital Technology Management > Digtial Innovation and Transformation
Business School

Name:

Vasiliu, Laurentiu;
Cortis, Keith;
McDermott, Ross;
Kerr, Aphra;
Peters, Arne;
Hesse, Marc;
Hagemeyer, Jens;
Belpaeme, Tony;
McDonald, John;
Villing, Rudi;
Mileo, Alessandra;
Capulto, Annalina;
Scriney, Michael;
Griffiths, Sascha;
Koumpis, Adamantios0000-0003-2661-7749 and
Davis, Brian

Subjects:

B Philosophy. Psychology. Religion > B Philosophy (General)
T Technology > TA Engineering (General). Civil engineering (General)

ISSN:

2081-4836

Publisher:

De Gruyter

Language:

English

Submitter:

Adamantios Koumpis

Date Deposited:

29 Oct 2021 11:21

Last Modified:

29 Oct 2021 11:21

Publisher DOI:

10.1515/pjbr-2021-0026

Uncontrolled Keywords:

social human–robot interaction, sHRI, computing affect, emotion analysis, healthcare robots, robot assisted care, robot ethics

ARBOR DOI:

10.24451/arbor.15591

URI:

https://arbor.bfh.ch/id/eprint/15591

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