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This study introduces Elfoid, a teleoperated robot that transmits facial expressions for enhanced remote communication. A projector displays expressions, overcoming the robot

Keywords:
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Area of Science:

  • Human-Computer Interaction
  • Robotics
  • Affective Computing

Background:

  • Telepresence systems aim to convey a sense of 'being there' remotely.
  • Existing systems often struggle to transmit nuanced social cues like facial expressions.
  • Robots like Elfoid offer a potential solution for richer remote interaction.

Purpose of the Study:

  • To develop and evaluate an expression transmission system using the Elfoid teleoperated robot.
  • To enable the remote communication partner to perceive the speaker's facial expressions.
  • To overcome the limitations of displaying expressions directly on the robot.

Main Methods:

  • Utilized Elfoid, a cellular-phone-type teleoperated robot with a soft, human-like exterior.
  • Implemented machine learning for facial expression recognition from captured video.
  • Developed a head-mounted mobile projector to display recognized facial expressions.
  • Conducted a prototype system experiment to evaluate subjective usability.

Main Results:

  • Successfully captured and recognized speaker facial expressions using machine learning.
  • Demonstrated the display of recognized facial expressions via a mobile projector on the Elfoid robot.
  • Collected subjective usability data from an experimental evaluation.

Conclusions:

  • The proposed system effectively transmits facial expressions using a teleoperated robot and a projector.
  • This approach enhances remote communication by conveying non-verbal cues.
  • Further research can explore actuator-based expression display for future iterations.