@inproceedings{girard-rivier-etal-2016-ecological,
title = "Ecological Gestures for {HRI}: the {GEE} Corpus",
author = "Girard-Rivier, Maxence and
Magnani, Romain and
Auberg{\'e}, V{\'e}ronique and
Sasa, Yuko and
Tsvetanova, Liliya and
Aman, Fr{\'e}d{\'e}ric and
Bayol, Clarisse",
booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation ({LREC}'16)",
month = may,
year = "2016",
address = "Portoro{\v{z}}, Slovenia",
publisher = "European Language Resources Association (ELRA)",
url = "https://aclanthology.org/L16-1235",
pages = "1481--1484",
abstract = "As part of a human-robot interaction project, we are interested by gestural modality as one of many ways to communicate. In order to develop a relevant gesture recognition system associated to a smart home butler robot. Our methodology is based on an IQ game-like Wizard of Oz experiment to collect spontaneous and implicitly produced gestures in an ecological context. During the experiment, the subject has to use non-verbal cues (i.e. gestures) to interact with a robot that is the referee. The subject is unaware that his gestures will be the focus of our study. In the second part of the experiment, we asked the subjects to do the gestures he had produced in the experiment, those are the explicit gestures. The implicit gestures are compared with explicitly produced ones to determine a relevant ontology. This preliminary qualitative analysis will be the base to build a big data corpus in order to optimize acceptance of the gesture dictionary in coherence with the {``}socio-affective glue{''} dynamics.",
}
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<abstract>As part of a human-robot interaction project, we are interested by gestural modality as one of many ways to communicate. In order to develop a relevant gesture recognition system associated to a smart home butler robot. Our methodology is based on an IQ game-like Wizard of Oz experiment to collect spontaneous and implicitly produced gestures in an ecological context. During the experiment, the subject has to use non-verbal cues (i.e. gestures) to interact with a robot that is the referee. The subject is unaware that his gestures will be the focus of our study. In the second part of the experiment, we asked the subjects to do the gestures he had produced in the experiment, those are the explicit gestures. The implicit gestures are compared with explicitly produced ones to determine a relevant ontology. This preliminary qualitative analysis will be the base to build a big data corpus in order to optimize acceptance of the gesture dictionary in coherence with the “socio-affective glue” dynamics.</abstract>
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%0 Conference Proceedings
%T Ecological Gestures for HRI: the GEE Corpus
%A Girard-Rivier, Maxence
%A Magnani, Romain
%A Aubergé, Véronique
%A Sasa, Yuko
%A Tsvetanova, Liliya
%A Aman, Frédéric
%A Bayol, Clarisse
%S Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16)
%D 2016
%8 may
%I European Language Resources Association (ELRA)
%C Portorož, Slovenia
%F girard-rivier-etal-2016-ecological
%X As part of a human-robot interaction project, we are interested by gestural modality as one of many ways to communicate. In order to develop a relevant gesture recognition system associated to a smart home butler robot. Our methodology is based on an IQ game-like Wizard of Oz experiment to collect spontaneous and implicitly produced gestures in an ecological context. During the experiment, the subject has to use non-verbal cues (i.e. gestures) to interact with a robot that is the referee. The subject is unaware that his gestures will be the focus of our study. In the second part of the experiment, we asked the subjects to do the gestures he had produced in the experiment, those are the explicit gestures. The implicit gestures are compared with explicitly produced ones to determine a relevant ontology. This preliminary qualitative analysis will be the base to build a big data corpus in order to optimize acceptance of the gesture dictionary in coherence with the “socio-affective glue” dynamics.
%U https://aclanthology.org/L16-1235
%P 1481-1484
Markdown (Informal)
[Ecological Gestures for HRI: the GEE Corpus](https://aclanthology.org/L16-1235) (Girard-Rivier et al., LREC 2016)
ACL
- Maxence Girard-Rivier, Romain Magnani, Véronique Aubergé, Yuko Sasa, Liliya Tsvetanova, Frédéric Aman, and Clarisse Bayol. 2016. Ecological Gestures for HRI: the GEE Corpus. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 1481–1484, Portorož, Slovenia. European Language Resources Association (ELRA).