Rights statement: © ACM, 2019. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in CHI EA '19 Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems http://doi.acm.org/10.1145/3290607.3312771
Accepted author manuscript, 2.52 MB, PDF document
Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License
Final published version
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
| Publication date | 2/05/2019 |
|---|---|
| Host publication | CHI EA '19 Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems |
| Place of Publication | New York |
| Publisher | ACM |
| Number of pages | 6 |
| ISBN (electronic) | 9781450359719 |
| ISBN (print) | 9781450359719 |
| <mark>Original language</mark> | English |
| Name | Conference on Human Factors in Computing Systems - Proceedings |
|---|
Inserting emojis 1 can be cumbersome when users must swap through panels. From our survey, we learned that users often use a series of consecutive emojis to convey rich, nuanced non-verbal expressions such as emphasis, change of expressions, or micro stories. We introduce MojiBoard, an emoji entry technique that enables users to generate dynamic parametric emojis from a gesture keyboard. With MojiBoard, users can switch seamlessly between typing and parameterizing emojis.