SMILEE: Symmetric Multi-modal Interactions with Language-gesture Enabled (AI) Embodiment
Sujeong Kim, David Salter, Luke DeLuccia, Kilho Son, Mohamed R. Amer, Amir Tamrakar
Abstract
We demonstrate an intelligent conversational agent system designed for advancing human-machine collaborative tasks. The agent is able to interpret a user’s communicative intent from both their verbal utterances and non-verbal behaviors, such as gestures. The agent is also itself able to communicate both with natural language and gestures, through its embodiment as an avatar thus facilitating natural symmetric multi-modal interactions. We demonstrate two intelligent agents with specialized skills in the Blocks World as use-cases of our system.- Anthology ID:
- N18-5018
- Volume:
- Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations
- Month:
- June
- Year:
- 2018
- Address:
- New Orleans, Louisiana
- Editors:
- Yang Liu, Tim Paek, Manasi Patwardhan
- Venue:
- NAACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 86–90
- Language:
- URL:
- https://aclanthology.org/N18-5018
- DOI:
- 10.18653/v1/N18-5018
- Cite (ACL):
- Sujeong Kim, David Salter, Luke DeLuccia, Kilho Son, Mohamed R. Amer, and Amir Tamrakar. 2018. SMILEE: Symmetric Multi-modal Interactions with Language-gesture Enabled (AI) Embodiment. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations, pages 86–90, New Orleans, Louisiana. Association for Computational Linguistics.
- Cite (Informal):
- SMILEE: Symmetric Multi-modal Interactions with Language-gesture Enabled (AI) Embodiment (Kim et al., NAACL 2018)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/N18-5018.pdf