Title | VibEmoji: Exploring User-authoring Multi-modal Emoticons in Social Communication |
Author | |
Corresponding Author | Zhao,Jian |
DOI | |
Publication Years | 2022-04-29
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Conference Name | CHI Conference on Human Factors in Computing Systems (CHI)
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Source Title | |
Conference Date | APR 30-MAY 05, 2022
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Conference Place | null,New Orleans,LA
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Publication Place | 1601 Broadway, 10th Floor, NEW YORK, NY, UNITED STATES
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Publisher | |
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:, 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 to both a novel system and various insights for supporting users' creation and communication of multi-modal emoticons. |
Keywords | |
SUSTech Authorship | First
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Language | English
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URL | [Source Record] |
Indexed By | |
WOS Research Area | Computer Science
; Robotics
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WOS Subject | Computer Science, Information Systems
; Computer Science, Theory & Methods
; Robotics
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WOS Accession No | WOS:000890212502009
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EI Accession Number | 20222112159216
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ESI Classification Code | Computer Peripheral Equipment:722.2
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Scopus EID | 2-s2.0-85130546594
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Data Source | Scopus
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Citation statistics |
Cited Times [WOS]:2
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Document Type | Conference paper |
Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/335487 |
Department | School of Design |
Affiliation | 1.School of Design,SUSTech,Shenzhen,China 2.University of Waterloo,Waterloo,Canada 3.University of Toronto Scarborough,Scarborough,Canada 4.Human-Machine Interaction Lab,Huawei,Canada 5.Markham,Ontario,Canada |
First Author Affilication | School of Design |
First Author's First Affilication | School of Design |
Recommended Citation GB/T 7714 |
An,Pengcheng,Zhou,Ziqi,Liu,Qing,et al. VibEmoji: Exploring User-authoring Multi-modal Emoticons in Social Communication[C]. 1601 Broadway, 10th Floor, NEW YORK, NY, UNITED STATES:ASSOC COMPUTING MACHINERY,2022.
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Files in This Item: | ||||||
File Name/Size | DocType | Version | Access | License | ||
10.1145@3491102.3501(7384KB) | Open Access | -- | View |
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