Abstract
In recent years, Kansei becomes important. However, the conventional methods are difficult to evaluate Kansei because Kansei is vague. An impression evaluation method considering the vagueness of Kansei has been proposed. This evaluation method makes a subject evaluate impression spatially. A method for analyzing the evaluation results has been proposed and the results of analysis have been shown. This analysis method shows average values and coefficients of variation of scores of the evaluation results spatially. However, only a few subjects joined the evaluation experiment. In this paper, an evaluation experiment is newly conducted, and more evaluation results are obtained. These results are analyzed, and characteristics of the impression of objects and the dispersion among subjects could easily be obtained. It is shown that this analysis method is useful for examining characteristics of impression of objects.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Osgood, C.E., Suci, G.J., Tannenbaum, P.H.: The Measurement of Meaning. University of Illinois Press (1957)
Choi, H., Okazaki, A.: Development of the KANSEI evaluation program for a product - Focusing on visualization of the conceptual model. In: Proc. of 13th Annual Conference of Japan Society of Kansei Engineering (2011) (in Japanese)
Tazaki, S., Okazaki, A.: A method to quantify KANSEI directly. In: Proc. of 10th Annual Conference of JSKE (2008) (in Japanese)
Kashiwazaki, N.: Proposition of KANSEI-parameters to show amount of KANSEI changing by outside influence. Journal of Japan Society of Kansei Engineering 4(1), 31–34 (2004) (in Japanese)
Akai, S., Hochin, T., Nomiya, H.: Impression Evaluation Method Considering the Vagueness of Kansei. In: Proc. of 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2012), pp. 385–390 (2012)
Akai, S., Hochin, T., Nomiya, H.: A method for analyzing the results obtained through the impression evaluation method considering the vagueness of Kansei. In: Proc. of the 1st International Symposium on Affective Engineering (ISAE 2013), pp. 27–32 (2013)
Schiffman, S.S., Reynolds, M.L., Young, F.W.: Introduction to multidimensional scaling - Theory, Methods, and Applications. Academic Press (1981)
Moonpocket: SOZAIJITEN 102, Datacraft (2001)
Moonpocket: SOZAIJITEN 186, Datacraft (2007)
Moonpocket: SOZAIJITEN 177, Datacraft (2006)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer International Publishing Switzerland
About this paper
Cite this paper
Akai, S., Hochin, T., Nomiya, H. (2013). Effectiveness of the Analysis Method for the Impression Evaluation Method Considering the Vagueness of Kansei. In: Lee, R. (eds) Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing. Studies in Computational Intelligence, vol 492. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00738-0_14
Download citation
DOI: https://doi.org/10.1007/978-3-319-00738-0_14
Publisher Name: Springer, Heidelberg
Print ISBN: 978-3-319-00737-3
Online ISBN: 978-3-319-00738-0
eBook Packages: EngineeringEngineering (R0)