InfoMus Lab

KANSEI Information Processing

 

KANSEI Information Processing (KIP) is an emerging research area and industry from Japan (Hashimoto , 1997). The concepts behind KIP are strongly tied to Japanese culture. KANSEI is a Japanese word that does not have a direct counterpart in Western languages, or, however, every attempt to translation captures just some of the aspects of KANSEI.

The concept of KANSEI is strongly tied to the concept of personality and sensibility. KANSEI is an ability that allows humans to solve problems and process information in a faster and personal way. In every action performed by a human being, traces of his/her KANSEI can be noticed, as well as his/her way of thinking, of solving problems, of his/her personality. Therefore, KANSEI is not a synonym for emotion, although it can be related to emotion, but refers to the human ability of processing information in ways not just logical (Hashimoto, 1997). KANSEI is related both to problem solving tasks and to information analysis and synthesis. 

An artist expresses his KANSEI through his works or performances: he leaves traces of his KANSEI in his product, in his message. A skilled actor or dancer can mimic the KANSEI required to make the character he is simulating more believable. The person that will see the work of the dancer, of the actor, the masterpiece of an artist, will use his own KANSEI in order to evaluate it, to extract meaning and information about the perceived KANSEI.

According to Shuji Hashimoto from Waseda University of Tokyo, it is possible to grasp one of the aspects of KIP as a process that allows us to personalize the way in which a message is sent, an action is performed, choosing solutions suitable for the personality and sensibility of the performer. The person that will perceive the results of those actions will use his KANSEI ability to also extract details about the solutions adopted by the performer obtaining details, hints about the personality and the KANSEI of the performer.

 

Main references

A. Camurri, S. Hashimoto, M. Ricchetti, R. Trocca, K. Suzuki, G. Volpe
EyesWeb - Toward Gesture and Affect Recognition in Interactive Dance and Music Systems, Computer Music Journal, 24:1, pp. 57-69, MIT Press, Spring 2000.

A. Camurri (Ed) (1997)
Proceedings of the AIMI International Workshop on KANSEI - The Technology of Emotion, University of Genoa and AIMI, October 1997.

A.Camurri, R.Trocca, G.Volpe
Interactive Systems Design: A KANSEI-based Approach, Proc. NIME2002, Dublin, Ireland, May 2002. 

A. Camurri, S. Hashimoto, K. Suzuki, R. Trocca (1999)
KANSEI analysis of dance performance, Proc. Intl Conf IEEE Systems Man and Cybernetics 1999, Tokyo.

 


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