@inbook{198da4d9f4574dec80e8a3f2962bd936,
title = "Consumer oriented design of product forms",
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.",
author = "Lin, {Yang Cheng} and Lai, {Hsin Hsi} and Yeh, {Chung Hsing}",
note = "Copyright: Copyright 2020 Elsevier B.V., All rights reserved.",
year = "2004",
doi = "10.1007/978-3-540-28648-6_143",
language = "English",
isbn = "3540228438",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "898--903",
editor = "Fuliang Yin and Chengan Guo and Jun Wang",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
address = "Germany",
}