Annotating Non-verbal Behaviours in Informal Interactions
Identifieur interne : 000371 ( Main/Exploration ); précédent : 000370; suivant : 000372Annotating Non-verbal Behaviours in Informal Interactions
Auteurs : Costanza Navarretta [Danemark]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2011.
English descriptors
- Teeft :
- Annotating behaviours, Annotation, Annotation model, Behaviour, Bodily communication, Body postures, Communicative behaviours, Communicative functions, Danish clarin project, Danish corpus, Danish research councils, Deictic gestures, Facial expressions, Feedback, Feedback direction, Gesture types, Hand gestures, Head giveelicit, Head movements, Informal interactions, Interactions speaker face giveelicit, Multimodal, Multimodal annotations, Multimodal behaviours, Multimodal data, Mumin scheme, Navarretta, Same model, Social activity, Spontaneous interactions, Video recordings.
Abstract
Abstract: This paper deals with the annotations of non-verbal behaviours in a Danish multimodal corpus of naturally occurring interactions between people who are well-acquainted. The main goal of this work is to provide formally annotated data for describing and modelling various communicative phenomena in this corpus type. In the paper we describe the annotation model and present a first analysis of the annotated data focusing on feedback-related non-verbal behaviours. The data confirm that head movements are the most common feedback-related non-verbal behaviours, but they indicate also that there are differences in the way feedback is expressed in two-party and in three-party interactions.
Url:
DOI: 10.1007/978-3-642-25775-9_29
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream Istex, to step Corpus: 000917
- to stream Istex, to step Curation: 000870
- to stream Istex, to step Checkpoint: 000232
- to stream Main, to step Merge: 000371
- to stream Main, to step Curation: 000371
Le document en format XML
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<front><div type="abstract" xml:lang="en">Abstract: This paper deals with the annotations of non-verbal behaviours in a Danish multimodal corpus of naturally occurring interactions between people who are well-acquainted. The main goal of this work is to provide formally annotated data for describing and modelling various communicative phenomena in this corpus type. In the paper we describe the annotation model and present a first analysis of the annotated data focusing on feedback-related non-verbal behaviours. The data confirm that head movements are the most common feedback-related non-verbal behaviours, but they indicate also that there are differences in the way feedback is expressed in two-party and in three-party interactions.</div>
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