• DocumentCode
    3307311
  • Title

    Impression Evaluation Method Considering the Vagueness of Kansei

  • Author

    Akai, Shunsuke ; Hochin, Teruhisa ; Nomiya, Hiroki

  • Author_Institution
    Grad. Sch. of Inf. Sci., Kyoto Inst. of Technol., Kyoto, Japan
  • fYear
    2012
  • fDate
    8-10 Aug. 2012
  • Firstpage
    385
  • Lastpage
    390
  • Abstract
    This paper proposes a method for evaluating impressions using a space containing impression words. The impression of an object is specified by circling impression words that match the impression. The degree of matching of the impression is expressed by the darkness of the color used to paint the circled area. This proposed method poses few restrictions to users evaluating an impression. Conversely, the semantic differential (SD) method evaluates an impression in a predefined range to enable statistical processing. A prototype system is implemented to evaluate the proposed method, and experimentally compare it with conventional methods, such as the SD method. Finally, it is demonstrated that the proposed method can evaluate aspects that other methods cannot.
  • Keywords
    behavioural sciences computing; human factors; statistical analysis; Kansei; SD method; impression evaluation method; impression matching degree; impression word; object impression; semantic differential; statistical processing; Artificial intelligence; Distributed computing; Software engineering; Kansei; impression evaluation; vagueness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, Artificial Intelligence, Networking and Parallel & Distributed Computing (SNPD), 2012 13th ACIS International Conference on
  • Conference_Location
    Kyoto
  • Print_ISBN
    978-1-4673-2120-4
  • Type

    conf

  • DOI
    10.1109/SNPD.2012.90
  • Filename
    6299311