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

Authors:

Rossana Damiano,

Claudio Mattutino,

Alessandro Mazzei,

Stefania Brighenti,

Matteo Nazzario,

Andrea Meirone,

Camilla Quarato,

Elisabetta Miraglio,

Giulia Ricciardiello,

Francesco Petriglia,

Federica Liscio,

Giuseppe Piccinni,

Loredana Mazzotta,

Valeria RicciAuthors Info & Claims

UMAP '22 Adjunct: Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization

Pages 151 - 154

https://doi.org/10.1145/3511047.3537690

Published: 04 July 2022 Publication History

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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.

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Cited By

Saracco ALillo AStranisci MGena CGrollman DBroadbent EJu WSoh HWilliams T(2024)Human Robot Interaction through an Ontology-based Dialogue EngineCompanion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610978.3640642(940-944)Online publication date: 11-Mar-2024
https://dl.acm.org/doi/10.1145/3610978.3640642

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cover image ACM Conferences

UMAP '22 Adjunct: Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization

July 2022

409 pages

ISBN:9781450392327

DOI:10.1145/3511047

General Chairs:
Alejandro Bellogin
Universidad Autonoma de Madrid, Spain
,
Ludovico Boratto
University of Cagliari, Italy
,
Olga C. Santos
UNED, Spain
,
Program Chairs:
Liliana Ardissono
Universita di Torino, Italy
,
Bart Knijnenburg
Clemson University, United States

Copyright © 2022 ACM.

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Published: 04 July 2022

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UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization

July 4 - 7, 2022

Barcelona, Spain

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Cited By

Saracco ALillo AStranisci MGena CGrollman DBroadbent EJu WSoh HWilliams T(2024)Human Robot Interaction through an Ontology-based Dialogue EngineCompanion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610978.3640642(940-944)Online publication date: 11-Mar-2024
https://dl.acm.org/doi/10.1145/3610978.3640642

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