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Enhancing online interaction through avatar-based dialogue systems utilizing the approaching movement.

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Computer graphics (CG) avatars can reduce virtual meeting fatigue and misunderstandings. Robot movement, particularly approaching, enhances perceived emotions and intentions in human-robot interactions.

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Area of Science:

  • Human-Computer Interaction
  • Robotics
  • Virtual Communication

Background:

  • Online interactions present challenges like virtual meeting confusion and video conferencing fatigue.
  • Computer graphics (CG) avatars offer a potential solution by reducing gaze misunderstandings and self-view dissatisfaction.
  • Nonverbal cues, such as movement and spatial positioning, are vital for effective communication in human-robot interactions.

Purpose of the Study:

  • To evaluate the impact of a robot's approach movement on the perception of emotions and intentions in multi-robot interactions.
  • To compare the effectiveness of movement versus a neutral stance in dialogue contexts.
  • To explore how avatar-based communication can mitigate challenges in online interactions.

Main Methods:

  • A video-based experiment was conducted to assess the impact of robot approach movement.
  • The study focused on multi-robot interaction scenarios.
  • Perceptions of emotions and intentions were measured.

Main Results:

  • Robot approach movement significantly enhances the expression of intentions and emotions.
  • Movement effectively indicates desired turn-taking in conversations.
  • Robot approach movement influences perceived impressions, categorizing robots as positive or negative.

Conclusions:

  • Robot movement, specifically approaching, is a key nonverbal cue in dialogue systems.
  • CG avatars and strategic robot movement can improve online communication and reduce interaction fatigue.
  • Future research should explore real-time conversational applications of these findings.