HCAIFeb 11, 2024

EmoWear: Exploring Emotional Teasers for Voice Message Interaction on Smartwatches

arXiv:2402.07174v120 citationsh-index: 4CHI
Originality Incremental advance
AI Analysis

This addresses the issue of pre-retrieval emotional communication for smartwatch voice message users, but it is incremental as it builds on existing emotional cue methods like color-coding.

The paper tackled the problem of users being unable to gauge emotional tone in voice messages before listening, by introducing EmoWear, a smartwatch system using 30 animation teasers to reflect emotions, which significantly enhanced emotional communication experience in a study with 24 participants.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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