Summary of the paper
| Title | Twente Debate Corpus ― A Multimodal Corpus for Head Movement Analysis |
|---|---|
| Authors | Bayu Rahayudi, Ronald Poppe and Dirk Heylen |
| Abstract | This paper introduces a multimodal discussion corpus for the study into head movement and turn-taking patterns in debates. Given that participants either acted alone or in a pair, cooperation and competition and their nonverbal correlates can be analyzed. In addition to the video and audio of the recordings, the corpus contains automatically estimated head movements, and manual annotations of who is speaking and who is looking where. The corpus consists of over 2 hours of debates, in 6 groups with 18 participants in total. We describe the recording setup and present initial analyses of the recorded data. We found that the person who acted as single debater speaks more and also receives more attention compared to the other debaters, also when corrected for the time speaking. We also found that a single debater was more likely to speak after a team debater. Future work will be aimed at further analysis of the relation between speaking and looking patterns, the outcome of the debate and perceived dominance of the debaters. |
| Topics | Dialogue, Discourse Annotation, Representation and Processing |
Full paper  |
Twente Debate Corpus ― A Multimodal Corpus for Head Movement Analysis |
| Bibtex | @InProceedings{RAHAYUDI14.364, author = {Bayu Rahayudi and Ronald Poppe and Dirk Heylen}, title = {Twente Debate Corpus ― A Multimodal Corpus for Head Movement Analysis}, booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)}, year = {2014}, month = {may}, date = {26-31}, address = {Reykjavik, Iceland}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-8-4}, language = {english} } |