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Face Memorization Using AIM Model for Mobile Robot and Its Application to Name Calling Function.

Masahiko Mikawa1, Haolin Chen1, Makoto Fujisawa1

  • 1Faculty of Library, Information and Media Science, University of Tsukuba, 1-2 Kasuga, Tsukuba, Ibaraki 305-8550, Japan.

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|November 24, 2020
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Summary
This summary is machine-generated.

This study introduces a social robot with a name-calling feature, utilizing a face memorization system. This system enhances human-robot interaction by enabling personalized greetings and improving the robot

Keywords:
AIM modelface classificationface memorizationsleep functionsocial human–robot interactionuser acceptance

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Area of Science:

  • Robotics
  • Human-Computer Interaction
  • Artificial Intelligence

Background:

  • Social robots require functions to foster positive human-robot relationships.
  • Personalized interaction, such as name calling, is crucial for creating a friendly robot impression.

Purpose of the Study:

  • To develop and evaluate a social mobile robot with a name-calling function.
  • To assess the effectiveness of a novel face memorization system for social robots.

Main Methods:

  • Implementing a face memorization system with stranger detection, name storage (with permission), and name calling capabilities.
  • Integrating a sleep-wake function with adaptive face classifier retraining or reduced processing during idle periods.
  • Conducting user studies to evaluate the perceived impression of the name-calling function.

Main Results:

  • The developed face memorization system demonstrated effective performance in its core functions.
  • Experimental results confirmed the validity and effectiveness of the proposed system.
  • Participants' impressions of the robot were positively influenced by the name-calling feature.

Conclusions:

  • The proposed face memorization system is a valid and effective component for social mobile robots.
  • Name calling significantly enhances the perceived friendliness and social acceptability of robots.
  • The system's adaptive processing and retraining mechanisms contribute to efficient and effective operation.