@inproceedings{virginie-etal-2014-database,
title = "A Database of Full Body Virtual Interactions Annotated with Expressivity Scores",
author = "Virginie, Demulier and
Bevacqua, Elisabetta and
Focone, Florian and
Giraud, Tom and
Carreno, Pamela and
Isableu, Brice and
Gibet, Sylvie and
De Loor, Pierre and
Martin, Jean-Claude",
booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)",
month = may,
year = "2014",
address = "Reykjavik, Iceland",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2014/pdf/741_Paper.pdf",
pages = "3505--3510",
abstract = "Recent technologies enable the exploitation of full body expressions in applications such as interactive arts but are still limited in terms of dyadic subtle interaction patterns. Our project aims at full body expressive interactions between a user and an autonomous virtual agent. The currently available databases do not contain full body expressivity and interaction patterns via avatars. In this paper, we describe a protocol defined to collect a database to study expressive full-body dyadic interactions. We detail the coding scheme for manually annotating the collected videos. Reliability measures for global annotations of expressivity and interaction are also provided.",
}
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<abstract>Recent technologies enable the exploitation of full body expressions in applications such as interactive arts but are still limited in terms of dyadic subtle interaction patterns. Our project aims at full body expressive interactions between a user and an autonomous virtual agent. The currently available databases do not contain full body expressivity and interaction patterns via avatars. In this paper, we describe a protocol defined to collect a database to study expressive full-body dyadic interactions. We detail the coding scheme for manually annotating the collected videos. Reliability measures for global annotations of expressivity and interaction are also provided.</abstract>
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%0 Conference Proceedings
%T A Database of Full Body Virtual Interactions Annotated with Expressivity Scores
%A Virginie, Demulier
%A Bevacqua, Elisabetta
%A Focone, Florian
%A Giraud, Tom
%A Carreno, Pamela
%A Isableu, Brice
%A Gibet, Sylvie
%A De Loor, Pierre
%A Martin, Jean-Claude
%S Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)
%D 2014
%8 may
%I European Language Resources Association (ELRA)
%C Reykjavik, Iceland
%F virginie-etal-2014-database
%X Recent technologies enable the exploitation of full body expressions in applications such as interactive arts but are still limited in terms of dyadic subtle interaction patterns. Our project aims at full body expressive interactions between a user and an autonomous virtual agent. The currently available databases do not contain full body expressivity and interaction patterns via avatars. In this paper, we describe a protocol defined to collect a database to study expressive full-body dyadic interactions. We detail the coding scheme for manually annotating the collected videos. Reliability measures for global annotations of expressivity and interaction are also provided.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/741_Paper.pdf
%P 3505-3510
Markdown (Informal)
[A Database of Full Body Virtual Interactions Annotated with Expressivity Scores](http://www.lrec-conf.org/proceedings/lrec2014/pdf/741_Paper.pdf) (Virginie et al., LREC 2014)
ACL
- Demulier Virginie, Elisabetta Bevacqua, Florian Focone, Tom Giraud, Pamela Carreno, Brice Isableu, Sylvie Gibet, Pierre De Loor, and Jean-Claude Martin. 2014. A Database of Full Body Virtual Interactions Annotated with Expressivity Scores. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 3505–3510, Reykjavik, Iceland. European Language Resources Association (ELRA).