Abstract
To design a delightful product, kansei of customers as well as technical requirements should be considered. Kansei engineering has been developed and implemented with different approaches, depending on the prospects and goals. It has been evolving and separated in important categories and this research aims at providing a new way, more systematic, to consider kansei engineering and to implement it in product development tools. In order to do so, data mining and population studies are important factors to cope with. The main prospect of this research is to provide this new kansei engineering methodology taking two inputs, a defined population and a defined product, and delivering one output, design advices that would enhance chosen emotions and the delight of customers. Such a methodology is thought to be implemented in a software.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Nagamachi, M.: Kansei engineering: a new ergonomic consumer-oriented technology for product development. Int. J. Ind. Ergono. (1995)
Schutte, S.: Engineering emotional values in product design. Linkopings Universitet Institute of Technology (2005)
Christiane, F.: WordNet: An Electronic Lexical Database. MIT Press, Cambridge, MA (1998)
Adamic, A.L., Huberman, A.B.: Zipf’s Law and the Internet. Glottometrics 3 (2002)
Liu, G. Wang, R., Buckley, J., Zhou, H.M.: A WordNet-based Semantic Similarity Measure Enhanced by Internet-based Knowledge. Knowledge Systems Institute Graduate School (2011)
Jiang, J.J., Conrath, D.W.: Semantic Similarity Based on Corpus Statistics and Lexical Taxonomy. Proceedings of International Conference Research on Computational Linguistics (1997)
Budanitsky, A., Hirst, G.: Evaluating WordNet-based Measures of Lexical Semantic Relatedness. Association for Computational Linguistics (2006)
Hisamitsu, T., Niwa, Y., Tsujii, J.: A Method of Measuring Term Representativeness (2002)
Zipf, G.K.: Human Behavior and the Principle of Least Effort: An introduction to Human Ecology. Addison-Wesley Press (1949)
Kurumada, C., Meylan, S.C., Frank, M.C.: Zipfian Frequency Distributions Facilitate Word Segmentation in Context. Stanford University (2012)
Newman, M.E.J.: Power Laws, Pareto Distributions and Zipf’s Law. Contemporary Physics (2007)
Ahonen, H., Heinonen, O., Klemettinen, M., Verkamo, I.: Applying Data Mining Techniques in Text Analysis. University of Helsinki (1997)
Loftus, G.R.: Evaluating Forgetting Curves. American Psychological Association (2012)
Dempster, F.N.: The Spacing Effect. University of Nevada (1988)
Kornai, A.: Mathematical Linguistics. Springer (2008)
Ozgur, A., Cetin, B., Bingol, H.: Co-occurrence Network of Reuters News. Int. J. Modern Phys. (2008)
Fuchi, T., Takagi, S.: Japanese Morphological Analyzer using Word Co-occurrence. Association for Computational Linguistics (1998)
Lewis, W.D.: Measuring Conceptual Distance Using WordNet: The Design of a Metric for Measuring Semantic Similarity. University of Arizona (2002)
Agarwal, A., Bhattacharyya, P.: Augmenting WordNet with Polarity Information on Adjectives. Department of Computer Science and Engineering I.I.T, Bombay (2005)
Acknowledgments
This paper is based on results obtained from SIP (Cross-ministerial Strategic Innovation Promotion Program) DDP (Delight Design Platform) project commissioned by NEDO (New Energy and Industrial Technology Development Organization).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing Switzerland
About this paper
Cite this paper
Rovere, F.C., Murakami, T., Yanagisawa, H. (2017). A Trial on Systematic Terminology Approach to Aid for Delight Design. In: Chung, W., Shin, C. (eds) Advances in Affective and Pleasurable Design . Advances in Intelligent Systems and Computing, vol 483. Springer, Cham. https://doi.org/10.1007/978-3-319-41661-8_48
Download citation
DOI: https://doi.org/10.1007/978-3-319-41661-8_48
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-41660-1
Online ISBN: 978-3-319-41661-8
eBook Packages: EngineeringEngineering (R0)