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VibEmoji: Exploring User-authoring Multi-modal Emoticons in Social Communication

Authors :
An, Pengcheng
Zhou, Ziqi
Liu, Qing
Yin, Yifei
Du, Linghao
Huang, Da-Yuan
Zhao, Jian
Publication Year :
2021

Abstract

Emoticons are indispensable in online communications. With users' growing needs for more customized and expressive emoticons, recent messaging applications begin to support (limited) multi-modal emoticons: e.g., enhancing emoticons with animations or vibrotactile feedback. However, little empirical knowledge has been accumulated concerning how people create, share and experience multi-modal emoticons in everyday communication, and how to better support them through design. To tackle this, we developed VibEmoji, a user-authoring multi-modal emoticon interface for mobile messaging. Extending existing designs, VibEmoji grants users greater flexibility to combine various emoticons, vibrations, and animations on-the-fly, and offers non-aggressive recommendations based on these components' emotional relevance. Using VibEmoji as a probe, we conducted a four-week field study with 20 participants, to gain new understandings from in-the-wild usage and experience, and extract implications for design. We thereby contribute both a novel system and various insights for supporting users' creation and communication of multi-modal emoticons.<br />Comment: To be published at ACM CHI '22

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2112.13555
Document Type :
Working Paper
Full Text :
https://doi.org/10.1145/3491102.3501940