Adobe, MIT, Harvard
Novel Icon Generator Tool
Icons are prevalent from road signs to graphical menus, conveying complex concepts with simple graphical representations. However, designing such icons, particularly for a compound concept such as health insurance, requires sophisticated and creative design skills to effectively combine semantics, layouts/space and styles. In this study, we aim to automate the generation of icons given compound concepts. Informed by interviews with professional icon designers, we developed Iconate, a novel icon design tool that automatically generates icons based on textual queries and allows users to explore and customize the icons. We also introduce a computational pipeline that automatically finds typical icons for sub-concepts, and arranges them according to inferred conventions. To enable the pipeline, we also collected a new data set consisting of concepts and annotated icons. We evaluated the feasibility of the tool with designers and the validity of the pipeline through a crowd sourced experiment.
| previous project| next project | See publication
Zhao, N., Bylinskii, Z., Kim, N. W., Pfister, H., Lau, R., Herman, L. M., & Echevarria, J. (2020) ICONATE: An Automated Approach for Compound Icon Generation and Ideation. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM.