Rollet2020

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Rollet2020
BibType ARTICLE
Key Rollet2020
Author(s) Nicolas Rollet, Chloé Clavel
Title “Talk to you later”: Doing social robotics with conversation analysis. Towards the development of an automatic system for the prediction of disengagement
Editor(s)
Tag(s) EMCA, Closings, Conversation Analysis, Annotation schemes, Engagement, Machine learning, Multimodality, Social robotics, Transcription
Publisher
Year 2020
Language English
City
Month
Journal Interaction Studies
Volume 21
Number 2
Pages 268-292
URL Link
DOI 10.1075/is.19001.roll
ISBN
Organization
Institution
School
Type
Edition
Series
Howpublished
Book title
Chapter

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Abstract

This article presents an applied discussion of the possibility of integrating conversation analysis (CA) methodology into that of machine learning. The aim is to improve the detection of that which resembles disengagement in the interaction between a robot and a human. We offer a novel analytical assemblage at the heart of the two disciplines, and namely on the level of the annotation schemes provided by conversation analysis transcription methods. First, we demonstrate that the need for a stable structure in establishing an interaction scenario and in designing robot behaviours does not prevent the emergence of ordinariness or creativity among the participants engaged in this interaction. Secondly, based on an actual case, we emphasize the possibility of systematicness in CA transcription to support the choice (a) of the categories targeted by prediction methods and defined by the annotation scheme, and (b) of the verbal and non-verbal features used to create prediction models.

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