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
Link To Document :
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