EmoWear: Exploring Emotional Teasers for Voice Message Interaction on Smartwatches

要旨

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.

著者
Pengcheng An
Southern University of Science and Technology, Shenzhen, China
Jiawen Stefanie. Zhu
University of Waterloo, Waterloo, Ontario, Canada
Zibo Zhang
University of Waterloo, Waterloo, Ontario, Canada
Yifei Yin
University of Toronto Scarborough, Scarborough, Ontario, Canada
Qingyuan Ma
Chalmers University of Technology, Gothenburg, Sweden
Che Yan
Huawei Canada, Markham, Ontario, Canada
Linghao Du
Huawei, Markham, Ontario, Canada
Jian Zhao
University of Waterloo, Waterloo, Ontario, Canada
論文URL

https://doi.org/10.1145/3613904.3642101

動画

会議: CHI 2024

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2024.acm.org/)

セッション: Emotions and User Experience

324
5 件の発表
2024-05-16 18:00:00
2024-05-16 19:20:00