Abstract
This article presents the SSPNet-Mobile Corpus, a collection of 60 mobile phone calls between unacquainted individuals (120 subjects). The corpus is designed to support research on non-verbal behavior and it has been manually annotated into conversational topics and behavioral events (laughter, fillers, back-channel, etc.). Furthermore, the corpus includes, for each subject, psychometric questionnaires measuring personality, conflict attitude and interpersonal attraction. Besides presenting the main characteristics of the corpus (scenario, subjects, experimental protocol, sensing approach, psychometric measurements), the paper reviews the main results obtained so far using the data.- Anthology ID:
- L14-1445
- Volume:
- Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
- Month:
- May
- Year:
- 2014
- Address:
- Reykjavik, Iceland
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association (ELRA)
- Note:
- Pages:
- 1492–1498
- Language:
- URL:
- http://www.lrec-conf.org/proceedings/lrec2014/pdf/537_Paper.pdf
- DOI:
- Cite (ACL):
- Anna Polychroniou, Hugues Salamin, and Alessandro Vinciarelli. 2014. The SSPNet-Mobile Corpus: Social Signal Processing Over Mobile Phones.. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 1492–1498, Reykjavik, Iceland. European Language Resources Association (ELRA).
- Cite (Informal):
- The SSPNet-Mobile Corpus: Social Signal Processing Over Mobile Phones. (Polychroniou et al., LREC 2014)
- PDF:
- http://www.lrec-conf.org/proceedings/lrec2014/pdf/537_Paper.pdf