中文版 | English
题名

EmoWear: Exploring Emotional Teasers for Voice Message Interaction on Smartwatches

作者
通讯作者Zhao, Jian
DOI
发表日期
2024-05-11
会议名称
2024 CHI Conference on Human Factors in Computing Sytems, CHI 2024
ISBN
9798400703300
会议录名称
会议日期
May 11, 2024 - May 16, 2024
会议地点
Hybrid, Honolulu, HI, United states
会议录编者/会议主办者
ACM SIGCHI
出版地
1601 Broadway, 10th Floor, NEW YORK, NY, UNITED STATES
出版者
摘要
Voice messages, by nature, prevent users from gauging the emotional tone without fully diving into the audio content. This hinders the shared emotional experience at the pre-retrieval stage. Research scarcely explored "Emotional Teasers"-pre-retrieval cues offering a glimpse into an awaiting message's emotional tone without disclosing its content. We introduce EmoWear, a smartwatch voice messaging system enabling users to apply 30 animation teasers on message bubbles to reflect emotions. EmoWear eases senders' choice by prioritizing emotions based on semantic and acoustic processing. EmoWear was evaluated in comparison with a mirroring system using color-coded message bubbles as emotional cues (N=24). Results showed EmoWear significantly enhanced emotional communication experience in both receiving and sending messages. The animated teasers were considered intuitive and valued for diverse expressions. Desirable interaction qualities and practical implications are distilled for future design. We thereby contribute both a novel system and empirical knowledge concerning emotional teasers for voice messaging.
© 2024 Copyright held by the owner/author(s)
关键词
学校署名
第一
语种
英语
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资助项目
We thank Dr. Wei Li and Dr. Da-Yuan Huang, for their support to our work. We appreciate the contributions made by Ms. Chaoyu Zhang and other partners in the prior work on \u201CAniBalloons\u201D. Our thanks also go to the reviewers for their invaluable comments that helped us significantly improve this paper. This work is supported in part by the Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant, University of Waterloo WHJIL, and Shenzhen Stability Support (No. 20220815171308001).
WOS研究方向
Computer Science
WOS类目
Computer Science, Artificial Intelligence ; Computer Science, Information Systems ; Computer Science, Theory & Methods
WOS记录号
WOS:001255317904002
EI入藏号
20242316205952
EI主题词
Semantics ; Wearable computers
EI分类号
Digital Computers and Systems:722.4
来源库
EV Compendex
引用统计
被引频次[WOS]:2
成果类型会议论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/794501
专题创新创意设计学院
南方科技大学
作者单位
1.School of Design, SUSTech, Shenzhen, China
2.University of Waterloo, Waterloo; ON, Canada
3.University of Toronto Scarborough, Scarborough; ON, Canada
4.Chalmers University of Technology, Gothenburg, Sweden
5.Human-Machine Interaction Lab, Huawei Canada, Markham; ON, Canada
第一作者单位创新创意设计学院
第一作者的第一单位创新创意设计学院
推荐引用方式
GB/T 7714
An, Pengcheng,Zhu, Jiawen Stefanie,Zhang, Zibo,et al. EmoWear: Exploring Emotional Teasers for Voice Message Interaction on Smartwatches[C]//ACM SIGCHI. 1601 Broadway, 10th Floor, NEW YORK, NY, UNITED STATES:Association for Computing Machinery,2024.
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