Abstract
This disclosure describes techniques for automatic enrichment of text entered via a computing device to project user emotion and personality. With user permission, an emotion projection platform is utilized to detect user emotion and map it to parametric fonts to emphasize and customize characters included in the user-input text. When the user enters text, one or more sensors are activated to detect various parameters. User emotion, state, and/or intent are determined based on the detected parameters. The text input received from the user is rendered using parametric and/or variable fonts based on the determined user intent and/or emotion. Optionally, emphasis data associated with the textual input can be transmitted as metadata to enable the rendering on a different device, e.g., the device of a chat partner.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Alakuijala, Jyrki and Bruse, Martin, "Keypress Modulated Parametric Fonts for Expressive Writing", Technical Disclosure Commons, (January 31, 2022)
https://www.tdcommons.org/dpubs_series/4880