Knowledge representation for culturally competent personal robots: requirements, design principles, implementation, and assessment

Bruno, Barbara, Recchiuto, Carmine Tommaso, Papadopoulos, Irena ORCID: https://orcid.org/0000-0001-6291-4332, Saffiotti, Alessandro, Koulouglioti, Christina, Menicatti, Roberto, Mastrogiovanni, Fulvio, Zaccaria, Renato and Sgorbissa, Antonio (2019) Knowledge representation for culturally competent personal robots: requirements, design principles, implementation, and assessment. International Journal of Social Robotics, 11 (3) . pp. 515-538. ISSN 1875-4791 [Article] (doi:10.1007/s12369-019-00519-w)

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Abstract

Culture, intended as the set of beliefs, values, ideas, language, norms and customs which compose a person’s life, is an essential element to know by any robot for personal assistance. Culture, intended as that person’s background, can be an invaluable source of information to drive and speed up the process of discovering and adapting to the person’s habits, preferences and needs. This article discusses the requirements posed by cultural competence on the knowledge management system of a robot. We propose a framework for cultural knowledge representation that relies on (i) a three layer ontology for storing concepts of relevance, culture specific information and statistics, person-specific information and preferences; (ii) an algorithm for the acquisition of person-specific knowledge, which uses culture specific knowledge to drive the search; (iii) a Bayesian Network for speeding up the adaptation to the person by propagating the effects of acquiring one specific information onto interconnected concepts. We have conducted a preliminary evaluation of the framework involving 159 Italian and German volunteers and considering 122 among habits, attitudes and social norms.

Item Type: Article
Research Areas: A. > School of Health and Education > Mental Health, Social Work and Interprofessional Learning
Item ID: 25626
Notes on copyright: This is a post-peer-review, pre-copyedit version of an article published in International Journal of Social Robotics. The final authenticated version is available online at: http://dx.doi.org/10.1007/s12369-019-00519-w
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Depositing User: Christina Koulouglioti
Date Deposited: 16 Nov 2018 17:06
Last Modified: 09 Jun 2021 21:57
URI: https://eprints.mdx.ac.uk/id/eprint/25626

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