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Kansei Robotics for Safe and Stress-Free Livesphere

Understanding Personal Preferences from Behavior Patterns
  • Takashi SakamotoEmail author
  • Toru Nakata
  • Toshikazu Kato
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9741)

Abstract

Each person has his own personal feature which includes physical, physiological, psychological and cognitive characteristics. Kansei, i.e., affection, is a mechanism which characterizes each person’s mental and behavioral processes interacting with the world. In this mechanism, multimedia and multimodal information from other people, objects and environment are received physically and physiologically through the five senses related to his age, gender and body conditions. The information is interpreted subjectively to its psychological and cognitive images associated with his personal preference, experiences, knowledge and cultural background. Some decisions are made based on his purpose of actions and his lifestyle. Then, specific behaviors, such as verbal and non-verbal responses, are activated and shown to the other people, objects and environment. “Kansei” is an important perspective for understanding personal preferences and giving suitable assistance to each person. This perspective is supported by the human-centered science and technology of “kansei engineering.” This paper proposes the framework of Kansei modeling through unconscious behavior in interaction in living space to provide safe and stress-free living space.

Keywords

Kansei engineering Affective engineering Kansei modeling Behavior log and analysis Safe and stress-free livesphere 

Notes

Acknowledgment

The series of these studies are supported by KAKENHI, Japan Society for the Promotion of Science (JSPS), Grant-in-Aid for Scientific Research (S) 19100004, (A) 25240043, and are also supported by Kansei Robotics Research Center, Institute of Science and Engineering, Chuo University.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.National Institute of Advanced Industrial Science and Technology (AIST)TokyoJapan
  2. 2.Chuo UniversityTokyoJapan

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