Details
| Original language | English |
|---|---|
| Article number | 6 |
| Journal | ACM Transactions on Computer-Human Interaction |
| Volume | 24 |
| Issue number | 1 |
| Publication status | Published - 10 Mar 2017 |
Abstract
Emoji, a set of pictographic Unicode characters, have seen strong uptake over the last couple of years. All common mobile platforms and many desktop systems now support emoji entry, and users have embraced their use. Yet, we currently know very little about what makes for good emoji entry. While soft keyboards for text entry are well optimized, based on language and touch models, no such information exists to guide the design of emoji keyboards. In this article, we investigate of the problem of emoji entry, starting with a study of the current state of the emoji keyboard implementation in Android. To enable moving forward to novel emoji keyboard designs, we then explore a model for emoji similarity that is able to inform such designs. This semantic model is based on data from 21 million collected tweets containing emoji. We compare this model against a solely description-based model of emoji in a crowdsourced study. Our model shows good perfor mance in capturing detailed relationships between emoji. 2017 Copyright is held by the owner/author(s). Publication rights licensed to ACM.
Keywords
- Emoji, Emoticons, Mobile text entry
ASJC Scopus subject areas
- Computer Science(all)
- Human-Computer Interaction
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In: ACM Transactions on Computer-Human Interaction, Vol. 24, No. 1, 6, 10.03.2017.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Beyond Just Text
T2 - Semantic Emoji Similarity Modeling to Support Expressive Communication
AU - Pohl, Henning
AU - Domin, Christian
AU - Rohs, Michael
N1 - Copyright: Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2017/3/10
Y1 - 2017/3/10
N2 - Emoji, a set of pictographic Unicode characters, have seen strong uptake over the last couple of years. All common mobile platforms and many desktop systems now support emoji entry, and users have embraced their use. Yet, we currently know very little about what makes for good emoji entry. While soft keyboards for text entry are well optimized, based on language and touch models, no such information exists to guide the design of emoji keyboards. In this article, we investigate of the problem of emoji entry, starting with a study of the current state of the emoji keyboard implementation in Android. To enable moving forward to novel emoji keyboard designs, we then explore a model for emoji similarity that is able to inform such designs. This semantic model is based on data from 21 million collected tweets containing emoji. We compare this model against a solely description-based model of emoji in a crowdsourced study. Our model shows good perfor mance in capturing detailed relationships between emoji. 2017 Copyright is held by the owner/author(s). Publication rights licensed to ACM.
AB - Emoji, a set of pictographic Unicode characters, have seen strong uptake over the last couple of years. All common mobile platforms and many desktop systems now support emoji entry, and users have embraced their use. Yet, we currently know very little about what makes for good emoji entry. While soft keyboards for text entry are well optimized, based on language and touch models, no such information exists to guide the design of emoji keyboards. In this article, we investigate of the problem of emoji entry, starting with a study of the current state of the emoji keyboard implementation in Android. To enable moving forward to novel emoji keyboard designs, we then explore a model for emoji similarity that is able to inform such designs. This semantic model is based on data from 21 million collected tweets containing emoji. We compare this model against a solely description-based model of emoji in a crowdsourced study. Our model shows good perfor mance in capturing detailed relationships between emoji. 2017 Copyright is held by the owner/author(s). Publication rights licensed to ACM.
KW - Emoji
KW - Emoticons
KW - Mobile text entry
UR - http://www.scopus.com/inward/record.url?scp=85016475608&partnerID=8YFLogxK
U2 - 10.1145/3039685
DO - 10.1145/3039685
M3 - Article
AN - SCOPUS:85016475608
VL - 24
JO - ACM Transactions on Computer-Human Interaction
JF - ACM Transactions on Computer-Human Interaction
SN - 1073-0516
IS - 1
M1 - 6
ER -