This paper describes our proposal for enriching personalized social moments and dialogues between human and robot in the context of the Sugar, Salt & Pepper laboratory. The lab focused on the use of the Pepper robot in a therapeutic context to promote autonomies and functional acquisitions in highly functioning (Asperger) children with autism. This paper is focused on a post-hoc work aimed at improving the robot's autonomous dialogue strategies. In particular we are integrating the robot's dialogue with a knowledge base to have the robot able to move and reason on an ontology, and thus enriching its dialogue's strategies. For instance, the taxonomic structure of the ontology could allow Pepper to drive the focus of the conversation to related topics or to more general or specific topics, and, in general, it could improve its capability to manage the conversation and disambiguate the input from the user.

Ontologies and Open Data for Enriching Personalized Social Moments in Human Robot Interaction

Gena C.;Damiano R.;Mattutino C.;Mazzei A.;Brighenti S.;Ricciardiello G.;
2022-01-01

Abstract

This paper describes our proposal for enriching personalized social moments and dialogues between human and robot in the context of the Sugar, Salt & Pepper laboratory. The lab focused on the use of the Pepper robot in a therapeutic context to promote autonomies and functional acquisitions in highly functioning (Asperger) children with autism. This paper is focused on a post-hoc work aimed at improving the robot's autonomous dialogue strategies. In particular we are integrating the robot's dialogue with a knowledge base to have the robot able to move and reason on an ontology, and thus enriching its dialogue's strategies. For instance, the taxonomic structure of the ontology could allow Pepper to drive the focus of the conversation to related topics or to more general or specific topics, and, in general, it could improve its capability to manage the conversation and disambiguate the input from the user.
2022
30th ACM Conference on User Modeling, Adaptation and Personalization, UMAP2022
esp
2022
UMAP2022 - Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization
Association for Computing Machinery, Inc
151
154
9781450392327
Adaptivity; HRI; Human Behavior Understanding; Social Robots
Gena C.; Damiano R.; Mattutino C.; Mazzei A.; Brighenti S.; Nazzario M.; Meirone A.; Quarato C.; Miraglio Elisabetta; Ricciardiello G.; Petriglia F.; Liscio F.; Piccinni G.; Mazzotta L.; Pecone C.; Ricci V.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1874760
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