Ex-amp robot: Physical avatar for enhancing human to human communication

Ai Kashii, Kazunori Takashio, Hideyuki Tokuda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Our research focuses on creating a robotic system that AIDS human-to-human communication. The robot acts as a personal companion that understands the user's emotions and helps express them alongside the user. First, the user's facial expression is detected through a connected camera device and relays the retrieved information to a humanoid robot. The humanoid robot then performs physical gestures that match the detected emotion. By using this system, those who are unable to freely move their own bodies can add a physical component to their communication method. In this paper, we have determined the efficacy of translating detected facial expressions into robot movements. Through experiments and surveys, we determined whether our proposed 'Ex-Amp Robot' helped enhance the communication of a hypothetically tetraplegic user.

Original languageEnglish
Title of host publicationHAI 2016 - Proceedings of the 4th International Conference on Human Agent Interaction
PublisherAssociation for Computing Machinery, Inc
Pages89-92
Number of pages4
ISBN (Electronic)9781450345088
DOIs
Publication statusPublished - 2016 Oct 4
Event4th International Conference on Human Agent Interaction, HAI 2016 - Biopolis, Singapore
Duration: 2016 Oct 42016 Oct 7

Other

Other4th International Conference on Human Agent Interaction, HAI 2016
CountrySingapore
CityBiopolis
Period16/10/416/10/7

Keywords

  • Bodily presence
  • Body language
  • Communication
  • Disability
  • Facial expression detection
  • Gesture
  • Humanoid robot

ASJC Scopus subject areas

  • Human-Computer Interaction

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  • Cite this

    Kashii, A., Takashio, K., & Tokuda, H. (2016). Ex-amp robot: Physical avatar for enhancing human to human communication. In HAI 2016 - Proceedings of the 4th International Conference on Human Agent Interaction (pp. 89-92). Association for Computing Machinery, Inc. https://doi.org/10.1145/2974804.2980509