Knowledge Representation for Culturally Competent Personal Robots: Requirements, Design Principles, Implementation, and Assessment View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-01-28

AUTHORS

Barbara Bruno, Carmine Tommaso Recchiuto, Irena Papadopoulos, Alessandro Saffiotti, Christina Koulouglioti, Roberto Menicatti, Fulvio Mastrogiovanni, Renato Zaccaria, Antonio Sgorbissa

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. More... »

PAGES

1-24

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12369-019-00519-w

DOI

http://dx.doi.org/10.1007/s12369-019-00519-w

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111754764


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