Wednesday, June 14, 2023

Academic Paper Summary

Aesthetics++: Refining Graphics Designs by Exploring Principles and Human Preference




Above is an academic journal with the main title, "Aesthetics++: Refining Graphics Designs by Exploring Principles and Human Preference" written by the authors Kong et al. (2023). Computer Graphics and Visualization focuses on the designs and visuals that focuses on the audiences' preferences that will be displayed through the screens of devices. The process of creating graphics that the audience would find pleasing and visually entertaining is a challenging work. This "requires repetitive edits and relies on good design knowledge" which consumes too much time and energy (Kong et al., 2023). This journal will give suggestions on how to go through these challenges more easily by giving suggestions on how to improve the aesthetics of the graphic designs. This can be implemented by using an existing design as the input to create a new graphic design as the output. There are two challenges to achieve this goal: using the designs given by the users to create a better and more "refined" design and also to check whether the new designs are aesthetically better than the old ones. To overcome these challenges, they created two stages: principle-guided candidate generation stage and data-driven candidate evaluation stage. In the principle-guided candidate generation stage, they use design principles as the guidance to annotate or change the existing design. In the data-driven candidate evaluation stage, they used "ranking models" on "datasets" to list all the aesthetic preferences of the audience and chose the most pleasing ones chosen among the candidates. They use "prototype system" in presentation slides and evaluate the results through "quantitative analysis, sample results and user studies (Kong et al.,2023).



References

Kong, W. et al (2023) Transactions on Visualization and Computer Graphics. Vol. 29, No. 6: Aesthetics++: Refining Graphic Designs by Exploring Design Principles and Human 
Preference. IEEE. 

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