A Semi-autonomous System for Creating a Human-Machine Interaction Corpus in Virtual Reality: Application to the ACORFORMed System for Training Doctors to Break Bad News

Magalie Ochs, Philippe Blache, Grégoire de Montcheuil, Jean-Marie Pergandi, Jorane Saubesty, Daniel Francon, Daniel Mestre


Anthology ID:
L18-1467
Volume:
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
Month:
May
Year:
2018
Address:
Miyazaki, Japan
Editors:
Nicoletta Calzolari, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Koiti Hasida, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis, Takenobu Tokunaga
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
Language:
URL:
https://aclanthology.org/L18-1467
DOI:
Bibkey:
Cite (ACL):
Magalie Ochs, Philippe Blache, Grégoire de Montcheuil, Jean-Marie Pergandi, Jorane Saubesty, Daniel Francon, and Daniel Mestre. 2018. A Semi-autonomous System for Creating a Human-Machine Interaction Corpus in Virtual Reality: Application to the ACORFORMed System for Training Doctors to Break Bad News. In Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), Miyazaki, Japan. European Language Resources Association (ELRA).
Cite (Informal):
A Semi-autonomous System for Creating a Human-Machine Interaction Corpus in Virtual Reality: Application to the ACORFORMed System for Training Doctors to Break Bad News (Ochs et al., LREC 2018)
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PDF:
https://preview.aclanthology.org/naacl-24-ws-corrections/L18-1467.pdf