Abstract
This paper presents a new approach for designing form elements of a product based on consumers’ perception of images of the product. Neural network (NN) models are used to suggest the best combination of product forms for matching a given set of product images. An experimental study on the form design of mobile phones is conducted to evaluate the performance of four NN models, which are developed by linking 9 form elements with 3 product images of mobile phones. The evaluation result shows that NN models can be used to help product designers determine the best combination of form elements for matching a set of desirable product images.
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
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Chuang, M.C., Chang, C.C., Hsu, S.H.: Perceptual Elements Underlying User Preferences Toward Product Form of Mobile Phones. International Journal of Industrial Ergonomics 27, 247–258 (2001)
Guan, S.S., Lin, Y.C.: A Study on the Color and Style Collocation of Mobile Phones Using Neural Network Method. Journal of the Chinese Institute of Industrial Engineers 18, 84–94 (2001)
Hsiao, S.W., Liu, M.C.: A Morphing Method for Shape Generation and Image Prediction in Product Design. Design Studies 23, 497–513 (2002)
Kashiwagi, K., Matsubara, Y., Nagamachi, M.: A Feature Detection Mechanism of Design in Kansei Engineering. Human Interface 9, 9–16 (1994)
Nagamachi, M.: Kansei Engineering: A New Ergonomics Consumer-Oriented Technology for Product Development. International Journal of Industrial Ergonomics 15, 3–10 (1995)
Negnevitsky, M.: Artificial intelligence. Addison-Wesley, New York (2002)
Nelson, M.: Illingworth WT. A Practical Guide to Neural Nets. Addison-Wesley, New York (1991)
Osgood, C.E., Suci, C.J.: The Measurement of Meaning. University of Illinois Press, Urbana (1957)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lin, YC., Lai, HH., Yeh, CH. (2004). Consumer Oriented Design of Product Forms. In: Yin, FL., Wang, J., Guo, C. (eds) Advances in Neural Networks - ISNN 2004. ISNN 2004. Lecture Notes in Computer Science, vol 3174. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28648-6_143
Download citation
DOI: https://doi.org/10.1007/978-3-540-28648-6_143
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22843-1
Online ISBN: 978-3-540-28648-6
eBook Packages: Springer Book Archive