Document Type
Conference Proceeding
Publication Date
7-17-2025
Department
Department of Computer Science
Abstract
We explore a method for presenting word suggestions for non-visual text input using simultaneous voices. We conduct two perceptual studies and investigate the impact of different presentations of voices on a user's ability to detect which voice, if any, spoke their desired word. Our sets of words simulated the word suggestions of a predictive keyboard during real-world text input. We find that when voices are simultaneous, user accuracy decreases significantly with each added word suggestion. However, adding a slight 0.15 s delay between the start of each subsequent word allows two simultaneous words to be presented with no significant decrease in accuracy compared to presenting two words sequentially (84% simultaneous versus 86% sequential). This allows two word suggestions to be presented to the user 32% faster than sequential playback without decreasing accuracy.
Publication Title
Proceedings of the 18th ACM International Conference on Pervasive Technologies Related to Assistive Environments Petra 2025
ISBN
9798400714023
Recommended Citation
Gaines, D.,
&
Vertanen, K.
(2025).
Identifying the Desired Word Suggestion in Simultaneous Audio.
Proceedings of the 18th ACM International Conference on Pervasive Technologies Related to Assistive Environments Petra 2025, 154-160.
http://doi.org/10.1145/3733155.3733212
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p2/1949
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Version
Publisher's PDF
Publisher's Statement
© 2025 Copyright held by the owner/author(s). Publisher’s version of record: https://doi.org/10.1145/3733155.3733212