Citation
Abstract
This study aims to build a complete visual transmission design optimization measurement system by integrating CAD (Computer-aided design) and DM (Data mining) technologies. Specifically, this article first uses CAD technology to model and quantitatively analyze the visual design elements accurately and then extracts the key factors and laws that affect the design effect from a large quantity of design data through DM. Finally, combining the results of CAD and DM, a scientific and effective optimization scheme is proposed, and experiments verify its feasibility and effectiveness. Experiments show that users often show higher stay time and more frequent interaction behavior when facing attractive design elements. Moreover, users have a positive attitude toward innovative and personalized design elements; Bright colors and dynamic visual effects are outstanding in attracting users’ attention. This study is expected to provide more accurate and efficient optimization measurement methods for visual transmission design and promote innovation and development in this field.
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Official URL or Download Paper: https://cad-journal.net/files/vol_21/Vol21NoS19.ht...
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Additional Metadata
Item Type: | Article |
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Divisions: | Faculty of Design and Architecture Faculty of Human Ecology Faculty of Modern Language and Communication |
DOI Number: | https://doi.org/10.14733/cadaps.2024.s19.226-244 |
Publisher: | CAD Solutions, LLC |
Keywords: | Computer-aided design; Data mining; Optimized measurement; Visual transmission design |
Depositing User: | Ms. Che Wa Zakaria |
Date Deposited: | 20 Mar 2025 01:30 |
Last Modified: | 20 Mar 2025 01:30 |
Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.14733/cadaps.2024.s19.226-244 |
URI: | http://psasir.upm.edu.my/id/eprint/116169 |
Statistic Details: | View Download Statistic |
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