Emotion Sonification As Opportunity For Inclusive Texting: Replacing Emoji With Vocal Bursts And Prosodic Voices

Sentiment in text messages is commonly emphasized through emoji. These pictograms are prone to misconception and non-inclusive of screen reader users due to the alt texts’ dissociation from visual emoji. Sonified emotions instead of emoji may provide an inclusive alternative. In this work, we sonified seven emotion categories relevant to text-messaging as prosodic text and vocal bursts. A quantitative online study with (n = 27) blind and visually impaired and (n = 19) sighted participants revealed that the combination of both voice qualities yields the highest recognition rates and most confident ratings. Best results are achieved if vocal bursts precede a prosodic voice. Our findings directly translate to practical implications for conveying sentiment in screen readers and voice assistants. It is up for future work to determine whether wrap-up effects known from visual processing of emoji in written text are replicable in acoustic processing of emotional cues.

Authors

Institutions

Publication Details

Journal
Nordic Conference on Human-Computer Interaction
Published
2024-09-30
DOI
https://doi.org/10.1145/3679318.3685403
Primary Topic
Digital Communication and Language
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Emotion Sonification As Opportunity For Inclusive Texting: Replacing Emoji With Vocal Bursts And Prosodic Voices

Stephan Huber, Katrin Stötter
Nordic Conference on Human-Computer Interaction
Digital Communication and Language
article

Emotion Sonification As Opportunity For Inclusive Texting: Replacing Emoji With Vocal Bursts And Prosodic Voices

Stephan Huber, Katrin Stötter
article en

Abstract

Sentiment in text messages is commonly emphasized through emoji. These pictograms are prone to misconception and non-inclusive of screen reader users due to the alt texts’ dissociation from visual emoji. Sonified emotions instead of emoji may provide an inclusive alternative. In this work, we sonified seven emotion categories relevant to text-messaging as prosodic text and vocal bursts. A quantitative online study with (n = 27) blind and visually impaired and (n = 19) sighted participants revealed that the combination of both voice qualities yields the highest recognition rates and most confident ratings. Best results are achieved if vocal bursts precede a prosodic voice. Our findings directly translate to practical implications for conveying sentiment in screen readers and voice assistants. It is up for future work to determine whether wrap-up effects known from visual processing of emoji in written text are replicable in acoustic processing of emotional cues.

Nordic Conference on Human-Computer Interaction
University of Würzburg (DE)
Quality Education
Openalex Percentile: Top 87%
Digital Communication and Language
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.