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Investigating vehicle interior designs using models that evaluate user sensory experience and perceived value

Published online by Cambridge University Press:  12 September 2019

Ching-Chien Liang
Affiliation:
Department of Industrial Design, National Cheng Kung University, No.1, University Rd., Tainan701, Taiwan (ROC) Department of Popular Music Industry, Southern Taiwan University of Science and Technology, No. 1, Nan-Tai Street, Yongkang District, Tainan, Taiwan (ROC)
Ya-Hsueh Lee*
Affiliation:
Department of Visual Communication Design, Southern Taiwan University of Science and Technology, No. 1, Nan-Tai Street, Yongkang District, Tainan, Taiwan (ROC)
Chun-Heng Ho
Affiliation:
Department of Industrial Design, National Cheng Kung University, No.1, University Rd., Tainan701, Taiwan (ROC)
Kuo-Hsiang Chen
Affiliation:
School of Art and Design, Fuzhou University of International Studies and Trade, No. 28, Yuhuan Road, Shouzhan New District, Changle, Fuzhou City, Fujian Province, PR CHINA
*
Author for correspondence: Ya-Hsueh Lee, [email protected]

Abstract

This study adopted a Kansei engineering methodology to examine users’ Kansei values toward automotive interior designs by conducting experiments under two models: sensory experience and perceived value evaluation models. In the sensory experience model, 60 participants were recruited to experience using 27 vehicle samples and to assign scores to eight Kansei keywords. Hayashi's quantification theory type 1 was used to calculate the weight of 12 interior space items and 40 interior design categories. In the perceived value evaluation model, 60 participants completed a questionnaire on the influence levels of the Kansei keywords on their Kansei values from the perspectives of four consumer perceived value dimensions. The questionnaire scores were then evaluated using factor analysis to extract nine primary factors affecting participants’ perceptions. This study determined that the interesting and dynamic perceptions corresponded to five design items under the Excitement Quality factors, vigorous and recreational perceptions corresponded to four items under the Relaxation and Comfort factor, and technological and luxurious perceptions corresponded to six items under the Luxury and Splendor factor and the Esteemed Image factor. These findings can help designers and researchers in the relevant sectors create automotive interior designs that fulfill the expectations of users.

Type
Research Article
Copyright
Copyright © Cambridge University Press 2019

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Footnotes

*

The author affiliations have been corrected since original publication. A corrigendum notice detailing the correction has also been published: https://doi.org/10.1017/S0890060420000244.

References

Blessing, LTM, Chakrabarti, A and Wallace, KM (1992) Some issues in engineering design research. In Cross, N (ed.), OU/SERC Design Methods Workshop. Milton Keynes: Open University.Google Scholar
Blessing, LTM, Chakrabarti, A and Wallace, KM (1995) A design research methodology. 10th International Conference Engineering Design. Prague, pp. 5055.Google Scholar
Chakrabarti, A (2010) A course for teaching design research methodology. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 24, 317334.CrossRefGoogle Scholar
Chakrabarti, A (2008) An overview of design research at Ideaslab. In Chakrabarti, A. and Subrahmanian, S (eds), Proceeding of the Indo–US Workshop Design Engineering 2006. Bangalore: Allied Publishing.Google Scholar
Chang, HC (2007) A measurement scale for evaluating the attractiveness of a passenger car. International Journal of Industrial Ergonomics 37, 2130.CrossRefGoogle Scholar
Chen, KS, Guan, SS, Deng, YS and Chang, YM (2000 a) Kansei engineering-A technique for giving the sensitivity a sense. In Proceeding of the 2000 Technology and Education Conference, Industrial Design Section, conjunct with Industrial Design, 29(1), 216. Taipei, Taiwan: MCUT Industrial Design.Google Scholar
Chen, KS, Guan, SS, Deng, YS and Chang, YM (2000 b) A pilot study on the pedagogy for Kansei engineering curriculum. In Proceeding of the 2000 Technology and Education Conference, Industrial Design Section, conjunct with Industrial Design, 28(2), pp. 160165. Taipei, Taiwan: MCUT Industrial Design.Google Scholar
Cronin, JJ, Brady, MK and Hult, GT (2000) Assessing the effects of quality, value and customer satisfaction on consumer behavioral intentions in service environments. Journal of Retailing 76, 193218.CrossRefGoogle Scholar
Delin, J, Sharoff, S, Lillford, S and Barnes, C (2007) Linguistic support for concept selection decisions. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 21, 123135.CrossRefGoogle Scholar
Hsiao, CH, Tsai, CF and Wu, HW (2009) Research on an integration model of relationship benefits and relationship quality and relationship outcomes: an empirical study of various services. Taiwan Journal of Marketing Science 5, 3578.Google Scholar
Jindo, T and Hirasago, K (1997) Application studies to car interior of Kansei engineering. International Journal of Industrial Ergonomics 19, 105114.CrossRefGoogle Scholar
Jordan, PW (2000) Designing Pleasurable Products: An Introduction to the New Human Factors. London: Taylor & Francis.CrossRefGoogle Scholar
Lai, HH (2005) A robust design approach for enhancing the feeling quality of a product: a car profile case study. International Journal of Industrial Ergonomics 35, 445460.CrossRefGoogle Scholar
Lin, WB (2007) An empirical of service quality model from the viewpoint of management. Expert Systems With Applications 32, 364375.CrossRefGoogle Scholar
Nagamachi, M (1989) Kansei Engineering. Tokyo: Kaibundo.Google Scholar
Nagamachi, M (1995) Kansei engineering: a new ergonomic consumer-oriented technology for product development. International Journal of Industrial Ergonomics 15, 311.CrossRefGoogle Scholar
Parasuraman, A and Grewal, D (2000) The impact of technology on the quality-value-loyalty chain: a research agenda. Journal of the Academy of Marketing Science 28, 168174.CrossRefGoogle Scholar
Pu, WP, Chen, K and Shieh, MD (2015) The effect of co-design and flow experience on customer satisfaction and purchase intention online. Issues in Business Management and Economics 3, 5966.Google Scholar
Roschuni, C, Goodman, E and Agogino, A (2013) Communicating actionable user research for human-centered design. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 27, 143154.CrossRefGoogle Scholar
Rosli, MU, Ariffin, MKA, Sapuan, SM and Sulaiman, S (2014) Survey of Malaysian car owner needs of a car interior. International Journal of Mechanical and Mechatronics Engineering 14, 6269.Google Scholar
Satake, I, Xin, JH, Tianming, T, Hansuebsai, A, Ando, K, Sato, T, Kajiwara, K and Ohsawa, S (2011) A comparative study of the emotional assessment of automotive exterior colors in Asia. Progress in Organic Coatings 72, 528540.CrossRefGoogle Scholar
Smith, S and Fu, SH (2011) The relationships between automobile head-up display presentation images and drivers’ Kansei. Displays 32, 5868.CrossRefGoogle Scholar
Soota, T, Singh, H and Mishra, R (2000) Defining characteristics for product development using quality function deployment: a case study on Indian bikes. Quality Engineering 20, 195208.CrossRefGoogle Scholar
Sweeney, JC and Soutar, GN (2001) Consumer-perceived value: the development of a multiple item scale. Journal of Retailing 77, 203220.CrossRefGoogle Scholar
Takahashi, A (2008) The Marketing of Five Senses: Emotion Enhancing and Storytelling—The Future Trend of Marketing. Taipei: AzothBooks.Google Scholar
Woodruff, RB (1997) Customer value: the next source of competitive advantage. Journal of the Academy of Marketing Science 25, 139153.CrossRefGoogle Scholar
Zeithaml, VA (1998) Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence. Journal of Marketing 52, 222.CrossRefGoogle Scholar