{"id":599919,"date":"2019-07-25T21:31:31","date_gmt":"2019-07-26T04:31:31","guid":{"rendered":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/?post_type=msr-research-item&#038;p=599919"},"modified":"2019-08-29T19:51:14","modified_gmt":"2019-08-30T02:51:14","slug":"text-to-viz-automatic-generation-of-infographics-from-proportion-related-natural-language-statements","status":"publish","type":"msr-research-item","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/publication\/text-to-viz-automatic-generation-of-infographics-from-proportion-related-natural-language-statements\/","title":{"rendered":"Text-to-Viz: Automatic Generation of Infographics from Proportion-Related Natural Language Statements"},"content":{"rendered":"<p>Combining data content with visual embellishments, infographics can effectively deliver messages in an engaging and memorable manner. Various authoring tools have been proposed to facilitate the creation of infographics. However, creating a professional infographic with these authoring tools is still not an easy task, requiring much time and design expertise. Therefore, these tools are generally not attractive to casual users, who are either unwilling to take time to learn the tools or lacking in proper design expertise to create a professional infographic. In this paper, we explore an alternative approach: to automatically generate infographics from natural language statements. We \ufb01rst conducted a preliminary study to explore the design space of infographics. Based on the preliminary study, we built a proof-of-concept system that automatically converts statements about simple proportion-related statistics to a set of infographics with pre-designed styles. Finally, we demonstrated the usability and usefulness of the system through sample results, exhibits, and expert reviews.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Combining data content with visual embellishments, infographics can effectively deliver messages in an engaging and memorable manner. Various authoring tools have been proposed to facilitate the creation of infographics. However, creating a professional infographic with these authoring tools is still not an easy task, requiring much time and design expertise. Therefore, these tools are generally [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"IEEE Transactions on Visualization and Computer 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23:29:35","post_status":"publish","permalink":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/project\/text-to-viz\/","post_excerpt":"Information graphics (infographics) can effectively deliver messages in an engaging and memorable fashion. Hence, they have now gained tremendous popularity in presentations, documents, dashboards, etc. However, as a task usually requiring high-level design creativity and good proficiency with graphic design tools, authoring a professional infographic remains a challenge for information workers. We proposed Text-to-Vis to lower the access barrier for them, as well as to unleash and inspire their creativity. 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