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Erschienen in:
Spoken Language Understanding for Natural Interaction: The Siri Experience Kapitel lesen Erstes Kapitel lesen

2014 | OriginalPaper | Buchkapitel

13. From Informative Cooperative Dialogues to Long-Term Social Relation with a Robot

verfasst von : Axel Buendia, Laurence Devillers

Erschienen in: Natural Interaction with Robots, Knowbots and Smartphones

Verlag: Springer New York

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Abstract

A lot of progress have been made in the domain of human-machine dialogue, but it is still a real challenge and, most often, only informative cooperative kind of dialogues are explored. This paper tries to explore the ability of a robot to create and maintain a long-term social relationship through more advanced dialogue techniques. We expose the social (Goffman), psychological (Scherer) and neural (Mountcastle) theories used to accomplish such kind of complex social interactions. From these theories, we build a consistent model, computationally efficient to create a robot that can understand the concept of lying and have compassion: a robotic social companion.

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Vorheriges Kapitel A Two-Step Approach for Efficient Domain Selection in Multi-Domain Dialog Systems
Nächstes Kapitel Integration of Multiple Sound Source Localization Results for Speaker Identification in Multiparty Dialogue System
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Metadaten
Titel
From Informative Cooperative Dialogues to Long-Term Social Relation with a Robot
verfasst von
Axel Buendia
Laurence Devillers
Copyright-Jahr
2014
Verlag
Springer New York
Buch
Natural Interaction with Robots, Knowbots and Smartphones

Print ISBN: 978-1-4614-8279-6

Electronic ISBN: 978-1-4614-8280-2

Copyright-Jahr: 2014

DOI
https://doi.org/10.1007/978-1-4614-8280-2_13

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