Investigating Design Style Evaluation in User Cognitions Using Statistical Methods

DOI

10.2991/978-94-6463-064-0_57How to use a DOI?

Keywords

Product design; User cognition; Statistical methods; Design style evaluation

Abstract

Based on the modern design theory, the product design style is the subjective feeling of the product's whole form, and its research and classification depend on the user's sensibility evaluation. But for a long time, the emphasis of style quantification has focused on the relationship between user evaluation and design form elements, but seldom consider the influence of user cognition on perceptual evaluation, so it limits the validity and scope of application of such correlation model. Therefore, based on the research approach of cognitive theory, this paper puts forward the hypothesis and the influence of association and Recognition cognitive process on the evaluation of product design style, and takes a group of modernist products as an example to carry on the empirical research. Based on the research approach of cognitive theory, this paper uses statistical methods, puts forward hypotheses, and conducts empirical research on the impact of cognitive processes such as association and recognition on product design style evaluation, taking machine aesthetic design style as an example. The results show that Lenovo has a great influence on the style evaluation of products, and its influence comes from the expressive dimension of design style; There is no significant correlation between recognition and product design style evaluation, but only has a weak impact on some single observation variables. In addition, the results of exploratory factor analysis (EFA) on the experimental scale show that there are two potential evaluation dimensions when users evaluate the machine aesthetic style.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Jihong Liu
AU  - Yu Zhi
PY  - 2022
DA  - 2022/12/27
TI  - Investigating Design Style Evaluation in User Cognitions Using Statistical Methods
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
PB  - Atlantis Press
SP  - 553
EP  - 561
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-064-0_57
DO  - 10.2991/978-94-6463-064-0_57
ID  - Liu2022
ER  -