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Abstract
Buttons are fundamental in web design. An effective button is important for higher click-through and conversion rates. However, designing effective buttons can be challenging for novices. This paper presents a novel interactive method to aid the button design process by making design suggestions. Our method proceeds in three steps: 1) button presence prediction, 2) button layout suggestion and 3) button color selection. We investigate two distinct but complementary interfaces for button design suggestion: 1) region selection interface, where the button will appear in a user-specific region; 2) element selection interface, where the button will be associated with a user-selected element. We compare our method with an existing website building tool, and show that for novice designers, both interfaces require significantly less manual efforts, and produce significantly better button design, as evaluated by professional web designers.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2019 IEEE International Conference on Multimedia and Expo (ICME 2019) |
| Publisher | IEEE |
| Pages | 466-471 |
| ISBN (Electronic) | 978-1-5386-9552-4 |
| DOIs | |
| Publication status | Published - Jul 2019 |
| Event | 2019 IEEE International Conference on Multimedia and Expo (ICME 2019) - Shanghai, China Duration: 8 Jul 2019 → 12 Jul 2019 |
Publication series
| Name | Proceedings - IEEE International Conference on Multimedia and Expo |
|---|---|
| Volume | 2019-July |
| ISSN (Print) | 1945-7871 |
| ISSN (Electronic) | 1945-788X |
Conference
| Conference | 2019 IEEE International Conference on Multimedia and Expo (ICME 2019) |
|---|---|
| Abbreviated title | ICME 2019 |
| Place | China |
| City | Shanghai |
| Period | 8/07/19 → 12/07/19 |
Research Keywords
- Button layout
- Data-driven method
- Web design
Fingerprint
Dive into the research topics of 'ButtonTips: Designing Web Buttons with Suggestions'. Together they form a unique fingerprint.Projects
- 1 Finished
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GRF: Data-driven Models of Manga with Applications to Composition and Mobile Viewing
CHAN, A. B. (Principal Investigator / Project Coordinator) & LAU, R. W. H. (Co-Investigator)
1/01/15 → 21/06/19
Project: Research
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