Skip to main content
SpringerLink
Log in

Cross-cultural Kansei Measurement

  • Conference paper
  • First Online:
Soft Computing in Data Science (SCDS 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 545))

Included in the following conference series:

  • 1172 Accesses

Abstract

Kansei Engineering (KE) enable designers in making decisions and focus on the design elements which make the product better fit to human feelings by discovering relationships between the customers’ feelings and the product features. However, using paper based checklist in evaluating the experiments lead to different results in different cultural races and demographical background and also limits the potential in obtaining desired results. This research attempts to fill in the gap by providing Web-based Kansei Measurement System and test it across culture to see whether it produce similar results. A comparative study of Kansei by two cultural background subjects and two measurement mechanisms, which are web-based and paper based Kansei checklist have been conducted. The resulted Kansei structure shows encouraging evidence that Web-based Kansei Measurement System could be used as cross-cultural Kansei measurement mechanism. The findings could benefit researchers and designers in the effort to improve the process of Kansei measurement to get the desired results.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. De Lucia, A., Francese, R., Passero, I., Tortora, G.: Slmeeting: supporting collaborative work in second life. ACM Press, New York (2008)

    Book  Google Scholar 

  2. Lokman, A.M., Ishak, K.K., Razak, F.H.A., Aziz, A.A.: The feasibility of PrEmo in cross-cultural Kansei measurement. In: IEEE Symposium on Humanities, Science and Engineering Research (SHUSER). IEEE (2012)

    Google Scholar 

  3. Dormann, C., Chisalita, C.: Cultural values in web site design. Paper presented at the 11th European Conference on Cognitive Ergonomics (2012)

    Google Scholar 

  4. Bourges-Waldegg, P., Scrivener, S.A.R.: Meaning, the central issue in cross-cultural HCI design. Interacting with Computers 9(3), 287–309 (1998)

    Article  Google Scholar 

  5. Suh, T., Kwon, I.W.G.: Globalization and reluctant buyers. International Marketing Review 19(6), 663–680 (2002)

    Article  Google Scholar 

  6. Yoon, C., Cole, C.A., Lee, M.: Consumer Decision Making and Aging: Current Knowledge and Future Directions. Invited target article for Research Dialogues. Journal of Consumer Psychology 19(1), 2–16 (2009)

    Article  Google Scholar 

  7. Moors, A.: Theories of emotion causation: A review. Cognition & Emotion 23(4), 625–662 (2009)

    Article  Google Scholar 

  8. Desmet, P.M.A.: Measuring emotions. Funology: From Usability to Enjoyment. Kluwer, Dordrecht (2003)

    Google Scholar 

  9. Russell, J.A.: Culture and the categorization of emotions. Psychological Bulletin 110(3), 426–450 (1991)

    Article  Google Scholar 

  10. Eid, M., Diener, E.: Norms for experiencing emotions in different cultures: Inter-and intranational differences. In: Culture and Well-Being, pp. 169–202 (2009)

    Google Scholar 

  11. Mesquita, B., Frijda, N.H., Scherer, K.R.: Culture and emotion. In: Handbook of Cross-Cultural Psychology. Basic Processes and Human Development, vol. 2, pp. 254–297 (1997)

    Google Scholar 

  12. Olie, R.: The ‘culture’ factor in personnel and organization policies’. In: International Human Resource Management, pp. 124–143. Sage Publications, London (1995)

    Google Scholar 

  13. Hofstede, G.: Culture’s Consequences: Comparing Values, Behaviors, Institutions, and Organization Across Nations. Sage, London (2001)

    Google Scholar 

  14. Hofstede, G.: The Cultural Relativity of Organizational Practices and Theories. Journal of International Business Studies, 75–89 (1983)

    Google Scholar 

  15. Mccoy, S., Galletta, D.F., King, W.R.: Integrating National Culture into individual IS Adoption Research: The Need For Individual Level Measures. Communications of the AIS 15(12) (2005)

    Google Scholar 

  16. Picard, R.W., Daily, S.B.: Evaluating affective interactions: Alternatives to asking what users feel (2005)

    Google Scholar 

  17. Mauss, I.B., Robinson, M.D.: Measures of emotion: A review. Cognition & Emotion 23(2), 209–237 (2009)

    Article  Google Scholar 

  18. Boehner, K., DePaula, R., Dourish, P., Sengers, P.: How emotion is made and measured. International Journal of Human-Computer Studies 65(4), 275–291 (2007)

    Article  Google Scholar 

  19. Norman, D.A.: Measuring Emotion. The Design Journal 6(2) (2003)

    Google Scholar 

  20. Norman, D.A.: Emotion & design: attractive things work better. Interactions 9(4), 42 (2002)

    Article  Google Scholar 

  21. Desmet, P.M.A.: Three Levels of Product Emotion. Paper presented at the International Conference on KE and Emotion Research (2010)

    Google Scholar 

  22. Nagamachi, M., Lokman, A.M.: Kansei Innovation: Practical Design Applications for Product and Service Development. Taylor & Francis Group (2015)

    Google Scholar 

  23. Lokman, A.M., Aziz, A.A.: A Kansei system to support children’s clothing design in Malaysia. In: IEEE International Conference on Systems Man and Cybernetics (SMC), pp. 3669–3676 (2010)

    Google Scholar 

  24. Merriam-Webster Online Dictionary. Engineering (2009), http://www.merriam-webster.com/dictionary/engineering (retrieved July 27, 2009)

  25. Bouchard, C., Lim, D., Aoussat, A.: Development of a KE SYSTEM for Industrial design: Identification of input data for KES (2003)

    Google Scholar 

  26. Robins, D., Holmes, J.: Aesthetics and credibility in web site design. Information Processing & Management 44(1), 386–399 (2008)

    Article  Google Scholar 

  27. Lokman, A.M., Noor, N.M., Nagamachi, M.: ExpertKanseiWeb – A tool to design kansei website. In: Filipe, J., Cordeiro, J (eds.) ICEIS 2009. LNBIP, vol. 24, pp. 894–905. Springer, Heidelberg (2009)

    Google Scholar 

  28. Justis, R.T., Kreigsmann, B.: The feasibility study as a tool for venture analysis. Business Journal of Small Business Management 17(1), 35–42 (1979)

    Google Scholar 

  29. Georgakellos, D.A., Marcis, A.M.: Application of the semantic learning approach in the feasibility studies preparation training process. Information Systems Management 26(3), 231–240 (2009)

    Article  Google Scholar 

  30. Young, G.I.M.: Feasibility studies. Appraisal Journal 38(3), 376–383 (1970)

    Google Scholar 

  31. Lokman, A.M.: Emotional user experience in web design: The kansei engineering approach. Universiti Teknologi MARA (2009)

    Google Scholar 

  32. Kaplan, B., Duchon, D.: Combining qualitative and quantitative methods in information systems research: a case study. MIS Quarterly 12(4), 571–586 (1998)

    Article  Google Scholar 

  33. Ishihara, I., Nishino, T., Matsubara, Y., Tsuchiya, T., Kanda, F., Inoue, K.: Kansei and Product Development. In: M. Nagamachi (eds.), vol. 1. Kaibundo, Tokyo (2005) (in Japanese)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA (UiTM), 40450, Shah Alam, Selangor, Malaysia

    Anitawati Mohd Lokman & Mohd Khairul Ikhwan Zolkefley

Authors
  1. Anitawati Mohd Lokman
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mohd Khairul Ikhwan Zolkefley
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Anitawati Mohd Lokman .

Editor information

Editors and Affiliations

  1. University of Tennessee, Knoxville, Tennessee, USA

    Michael W. Berry

  2. Universiti Teknologi MARA, Shah Alam, Malaysia

    Azlinah Mohamed

  3. Universiti Teknologi MARA, Shah Alam, Malaysia

    Bee Wah Yap

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer Science+Business Media Singapore

About this paper

Cite this paper

Lokman, A.M., Zolkefley, M.K.I. (2015). Cross-cultural Kansei Measurement. In: Berry, M., Mohamed, A., Yap, B. (eds) Soft Computing in Data Science. SCDS 2015. Communications in Computer and Information Science, vol 545. Springer, Singapore. https://doi.org/10.1007/978-981-287-936-3_23

Download citation

  • DOI: https://doi.org/10.1007/978-981-287-936-3_23

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-287-935-6

  • Online ISBN: 978-981-287-936-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation