Title
Voicemoji: Emoji Entry Using Voice for Visually Impaired People
Abstract
ABSTRACT Keyboard-based emoji entry can be challenging for people with visual impairments: users have to sequentially navigate emoji lists using screen readers to find their desired emojis, which is a slow and tedious process. In this work, we explore the design and benefits of emoji entry with speech input, a popular text entry method among people with visual impairments. After conducting interviews to understand blind or low vision (BLV) users’ current emoji input experiences, we developed Voicemoji, which (1) outputs relevant emojis in response to voice commands, and (2) provides context-sensitive emoji suggestions through speech output. We also conducted a multi-stage evaluation study with six BLV participants from the United States and six BLV participants from China, finding that Voicemoji significantly reduced entry time by 91.2% and was preferred by all participants over the Apple iOS keyboard. Based on our findings, we present Voicemoji as a feasible solution for voice-based emoji entry.
Year
DOI
Venue
2021
10.1145/3411764.3445338
Conference on Human Factors in Computing Systems
Keywords
DocType
Citations 
Voice-based emoji input, speech user interfaces, accessibility, blind or low vision users, visual impairments
Conference
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Mingrui Ray Zhang103.04
Ruolin Wang221.71
Xuhai Xu3102.81
Qisheng Li4154.29
Ather Sharif512.71
Jacob O. Wobbrock64716246.78