Skip to main content
Kent Academic Repository

Emojinator: An emoji generator to represent emotions

Bilwani, Marzia, Jordanous, Anna (2023) Emojinator: An emoji generator to represent emotions. In: 2023 14th International Conference on Computational Creativity. . Associations for Computational Creativity, Waterloo, Canada (KAR id:101971)

Abstract

In recent years, emojis have become a key part of computer-mediated communication (CMC). This stems from the fact that they act as nonverbal cues which are difficult to convey when communicating using simple text. Just as a picture is worth a thousand words, the same can be said for an emoji. In this paper, we present a creative system, Emojinator, that generates emojis us- ing visual blending to represent a diverse range of emo- tions. Unlike previous emoji generation work, fuzzy logic was incorporated to enable Emojinator to make decisions. A user study was conducted to evaluate the output, along with the creative tripod method to as- sess Emojinator’s creativity. The results from the sur- vey show that for more than half the emojis, at least 50 percent of participants agreed or strongly agreed that the emoji represented the stated emotion. Evaluation through the creative tripod method showed that the sys- tem is skillful and imaginative but could be more appre- ciative. Therefore, further refinement may be needed to make the system more creative. However, the success of this novel approach to emoji creation opens up new directions for future work.

Item Type: Conference or workshop item (Paper)
Subjects: Q Science > Q Science (General) > Q335 Artificial intelligence
Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.76 Computer software
Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.9.H85 Human computer interaction
Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4045 Electronic information resources
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
University-wide institutes > Institute of Cultural and Creative Industries
Depositing User: Anna Jordanous
Date Deposited: 06 Jul 2023 14:05 UTC
Last Modified: 07 Jul 2023 14:59 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/101971 (The current URI for this page, for reference purposes)

University of Kent Author Information

  • Depositors only (login required):

Total unique views for this document in KAR since July 2020. For more details click on the image.