Kansei engineering for comfortable space management

Motoki Kohritani, Junzo Watada, Hideyasu Hirano, Naoyoshi Yubazaki

    Research output: Contribution to journalArticle

    1 Citation (Scopus)

    Abstract

    It is difficult to define a comfortable space for each individual. It is partly because comfortness relates to many attributes that specify a space, partly because each individual has different preference, and also because even the same person changes his/her preference according health states, body conditions, working states and so on. Various parameters and attributes should be controlled in order to realize such a comfortable space according the data-base of past usages. Information obtained from human bodies such as temperature, blood pressure, α brainwave and etc. can be employed to adjust the space to the best condition. The objective of this paper is to achieve a comfortable space in terms of Kansei engineering. It is required to realize our comfortable environment suitable to feelings and customers often have their individual preference so that they feel comfortable, too. Kansei Engineering is a technology to offer better products to the customers by employing human sensitivity.

    Original languageEnglish
    Pages (from-to)1291-1297
    Number of pages7
    JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume3682 LNAI
    Publication statusPublished - 2005

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    Brain Waves
    Engineering
    Blood pressure
    Human Body
    Emotions
    Health
    Databases
    Blood Pressure
    Technology
    Customers
    Temperature
    Attribute
    Person
    Human

    ASJC Scopus subject areas

    • Computer Science(all)
    • Biochemistry, Genetics and Molecular Biology(all)
    • Theoretical Computer Science

    Cite this

    Kansei engineering for comfortable space management. / Kohritani, Motoki; Watada, Junzo; Hirano, Hideyasu; Yubazaki, Naoyoshi.

    In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3682 LNAI, 2005, p. 1291-1297.

    Research output: Contribution to journalArticle

    Kohritani, Motoki ; Watada, Junzo ; Hirano, Hideyasu ; Yubazaki, Naoyoshi. / Kansei engineering for comfortable space management. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2005 ; Vol. 3682 LNAI. pp. 1291-1297.
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