Smile and Laughter in Human-Machine Interaction: a study of engagement

Mariette Soury, Laurence Devillers


Abstract
This article presents a corpus featuring adults playing games in interaction with machine trying to induce laugh. This corpus was collected during Interspeech 2013 in Lyon to study behavioral differences correlated to different personalities and cultures. We first present the collection protocol, then the corpus obtained and finally different quantitative and qualitative measures. Smiles and laughs are types of affect bursts which are defined as short emotional “non-speech” expressions. Here we correlate smile and laugh with personality traits and cultural background. Our final objective is to propose a measure of engagement deduced from those affect bursts.
Anthology ID:
L14-1718
Volume:
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
Month:
May
Year:
2014
Address:
Reykjavik, Iceland
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/947_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Mariette Soury and Laurence Devillers. 2014. Smile and Laughter in Human-Machine Interaction: a study of engagement. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), Reykjavik, Iceland. European Language Resources Association (ELRA).
Cite (Informal):
Smile and Laughter in Human-Machine Interaction: a study of engagement (Soury & Devillers, LREC 2014)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/947_Paper.pdf