• DocumentCode
    3563763
  • Title

    Applying the concept of "Moe" to designing robot´s appearances

  • Author

    Kato, Kenta ; Kanoh, Masayoshi ; Yamada, Koji ; Nakamura, Tsuyoshi

  • Author_Institution
    Nagoya Instititute of Technol., Nagoya, Japan
  • fYear
    2014
  • Firstpage
    106
  • Lastpage
    110
  • Abstract
    One of the problems with human-robot interaction is how to design robot\´s appearances. It is said that robot\´s appearances can affect the emotions of people who communicate with the robot. The "uncanny valley" proposed by Mori is a famous phenomenon with regard to robot\´s appearances. It is necessary to avoid the "uncanny valley" when designing a robot. We propose adopting the concept of "moe" (a Japanese slang word expressing feelings such as goodwill, love, and excitement to the characters in comics or animated cartoons) as a design element to design a robot that most people will be acceptable. "Moe" is an ambiguous concept, and utilizing it for designing robot\´s appearances is not a simple task. Accordingly, a 3D design system for investigating and clarifying the meaning of "moe" was built. The system is based on an interactive genetic algorithm (IGA). The system was used in experiments to compare "moe" with the English words "prettiness" and "coolness". In particular, the possibility that there is a difference between appearances of robots designed on the basis of whether people understand "moe" or not was investigated. In this paper, it appears that using "moe" and using "prettiness" as concepts for robot\´s appearances are equivalent under the condition that the robot\´s appearances was primitive.
  • Keywords
    genetic algorithms; human-robot interaction; 3D design system; IGA; human-robot interaction; interactive genetic algorithm; moe; robot appearance designing; uncanny valley; Economics; Electronic mail; Genetic algorithms; Head; Robot sensing systems; Standards;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Soft Computing and Intelligent Systems (SCIS), 2014 Joint 7th International Conference on and Advanced Intelligent Systems (ISIS), 15th International Symposium on
  • Type

    conf

  • DOI
    10.1109/SCIS-ISIS.2014.7044732
  • Filename
    7044732