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.
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CITATION STYLE
Kim, S., Salter, D., DeLuccia, L., Son, K., Amer, M. R., & Tamrakar, A. (2018). SMILEE: Symmetric Multi-modal Interactions with Language-gesture Enabled (AI) Embodiment. In NAACL HLT 2018 - 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Demonstrations Session (pp. 86–90). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/n18-5018
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