Summary of the paper
| Title | Non-verbal Signals for Turn-taking and Feedback |
|---|---|
| Authors | Kristiina Jokinen |
| Abstract | This paper concerns non-verbal communication, and describes especially the use of eye-gaze to signal turn-taking and feedback in conversational settings. Eye-gaze supports smooth interaction by providing signals that the interlocutors interpret with respect to such conversational functions as taking turns and giving feedback. New possibilities to study the effect of eye-gaze on the interlocutors’ communicative behaviour have appeared with the eye-tracking technology which in the past years has matured to the level where its use to study naturally occurring dialogues have become easier and more reliable to conduct. It enables the tracking of eye-fixations and gaze-paths, and thus allows analysis of the person’s turn-taking and feedback behaviour through the analysis of their focus of attention. In this paper, experiments on the interlocutors’ non-verbal communication in conversational settings using the eye-tracker are reported, and results of classifying turn-taking using eye-gaze and gesture information are presented. Also the hybrid method that combines signal level analysis with human interpretation is discussed. |
| Topics | Dialogue, Discourse annotation, representation and processing, Prosody |
Full paper |
Non-verbal Signals for Turn-taking and Feedback |
Slides |
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| Bibtex | @InProceedings{JOKINEN10.173, author = {Kristiina Jokinen}, title = {Non-verbal Signals for Turn-taking and Feedback}, booktitle = {Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)}, year = {2010}, month = {may}, date = {19-21}, address = {Valletta, Malta}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Bente Maegaard and Joseph Mariani and Jan Odijk and Stelios Piperidis and Mike Rosner and Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-6-7}, language = {english} } |