Research on product color design decision driven by brand image-Reference-Cited by-同舟云学术

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Research on product color design decision driven by brand image

Published:2020-07-20 Issue:6 Volume:45 Page:1202-1216
ISSN:0361-2317
Container-title:Color Research & Application
language:en
Short-container-title:Color Res Appl

Author:

Zhang Xinxin¹²^ORCID,Yang Minggang¹,Su Jianning³⁴,Yang Wenjin⁴,Qiu Kai⁴

Affiliation:

1. School of Art, Design and Media East China University of Science and Technology Shanghai China

2. School of Architecture & Art Design Hebei University of Technology Tianjin 300401 China

3. School of Design Art Lanzhou University of Technology Lanzhou China

4. School of Mechanical and Electrical Engineering Lanzhou University of Technology Lanzhou China

Publisher

Wiley

Subject

General Chemical Engineering,General Chemistry,Human Factors and Ergonomics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/col.22540

Reference43 articles.

1. Feel the image: the role of emotions in the image‐seeking process;Poretski L;Hum‐Comput Interact,2017

2. A novel approach for capturing and evaluating dynamic consumer requirements in open design

3. Statues and progress of research on users' tacit knowledge in product design;Luo SJ;Computer Integr Manuf Syst,2010

4. Affective Perception of Disposable Razors: A Kansei Engineering Approach

5. Inside the search process: information seeking from the user's perspective;Kuhlthau CC;J Assoc Inf Sci Technol,1991

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2. Chromaticity Analysis on Ethnic Minority Color Landscape Culture in Tibetan Area: A Semantic Differential Approach;Applied Sciences;2024-05-29

3. C2Ideas: Supporting Creative Interior Color Design Ideation with a Large Language Model;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

4. Applying Kansei Engineering and Eye Movement to Packaging Design Elements—A Case of Tea Packaging Design;Packaging Technology and Science;2024-03-13

5. Designing the color of electric motorcycle products emotionally based on the dynamic field theory and deep learning;Displays;2024-01

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