English

Identifying the Desired Word Suggestion in Simultaneous Audio

Human-Computer Interaction 2025-10-03 v2

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.

Keywords

Cite

@article{arxiv.2501.10568,
  title  = {Identifying the Desired Word Suggestion in Simultaneous Audio},
  author = {Dylan Gaines and Keith Vertanen},
  journal= {arXiv preprint arXiv:2501.10568},
  year   = {2025}
}

Comments

To appear in PErvasive Technologies Related to Assistive Environments (PETRA '25)

R2 v1 2026-06-28T21:09:54.168Z