Abstract
This paper introduces an approach for annotating eye gaze considering both its social and the referential functions in multi-modal human-human dialogue. Detecting and interpreting the temporal patterns of gaze behavior cues is natural for humans and also mostly an unconscious process. However, these cues are difficult for conversational agents such as robots or avatars to process or generate. The key factor is to recognize these variants and carry out a successful conversation, as misinterpretation can lead to total failure of the given interaction. This paper introduces an annotation scheme for eye-gaze in human-human dyadic interactions that is intended to facilitate the learning of eye-gaze patterns in multi-modal natural dialogue.- Anthology ID:
- 2020.lrec-1.95
- Volume:
- Proceedings of the Twelfth Language Resources and Evaluation Conference
- Month:
- May
- Year:
- 2020
- Address:
- Marseille, France
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 759–765
- Language:
- English
- URL:
- https://aclanthology.org/2020.lrec-1.95
- DOI:
- Cite (ACL):
- Vidya Somashekarappa, Christine Howes, and Asad Sayeed. 2020. An Annotation Approach for Social and Referential Gaze in Dialogue. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 759–765, Marseille, France. European Language Resources Association.
- Cite (Informal):
- An Annotation Approach for Social and Referential Gaze in Dialogue (Somashekarappa et al., LREC 2020)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/2020.lrec-1.95.pdf