6533b7dcfe1ef96bd1272046

RESEARCH PRODUCT

A Topic Recognition System for Real World Human-Robot Conversations

Salvatore Maria AnzaloneHiroshi IshiguroEnrico PagelloRosario SorbelloEmanuele MenegattiYuichiro Yoshikawa

subject

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniPersonal robotSocial robotComputer sciencemedia_common.quotation_subjectTopic Recognition System Personal RobotsHuman-Robot InteractionHuman–robot interactionPersonalizationTask (project management)Human–computer interactionConversationNatural languageHumanoid robotmedia_common

description

One of the main features of social robots is the ability to communicate and interact with people as partners in a natural way. However, achieving a good verbal interaction is a hard task due to the errors on speech recognition systems, and due to the understanting the natural language itself. This paper tries to overcome such kind of problems by presenting a system that enables social robots to get involved in conversation by recognizing its topic. Through the use of classical text mining approach, the presented system allows social robots to understand topics of conversation between human partners, enabling the customization of behaviours in their accordance. The system has been evaluated in different contexts, taking in account the quality and accuracy of the speech recognition syestem used by the social robot.

yearjournalcountryeditionlanguage
2013-01-01
https://doi.org/10.1007/978-3-642-33932-5_36