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

要旨

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.

著者
Pengcheng An
Southern University of Science and Technology, Shenzhen, China
Ziqi Zhou
University of Waterloo, Waterloo, Ontario, Canada
Qing Liu
University of Waterloo, Waterloo, Ontario, Canada
Yifei Yin
University of Toronto Scarborough, Scarborough, Ontario, Canada
Linghao Du
Huawei Canada, Markham, Ontario, Canada
Da-Yuan Huang
Huawei Canada, Markham, Ontario, Canada
Jian Zhao
University of Waterloo, Waterloo, Ontario, Canada
論文URL

https://dl.acm.org/doi/abs/10.1145/3491102.3501940

動画

会議: CHI 2022

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2022.acm.org/)

セッション: Authoring Data

283–285
4 件の発表
2022-05-03 18:00:00
2022-05-03 19:15:00