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Voice and Touch Based Error-tolerant Multimodal Text Editing and Correction for Smartphones

Authors:

IV Ramakrishnan,

Xiaojun BiAuthors Info & Claims

UIST '21: The 34th Annual ACM Symposium on User Interface Software and Technology

Pages 162 - 178

https://doi.org/10.1145/3472749.3474742

Published: 12 October 2021 Publication History

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Abstract

Editing operations such as cut, copy, paste, and correcting errors in typed text are often tedious and challenging to perform on smartphones. In this paper, we present VT, a voice and touch-based multi-modal text editing and correction method for smartphones. To edit text with VT, the user glides over a text fragment with a finger and dictates a command, such as ”bold” to change the format of the fragment, or the user can tap inside a text area and speak a command such as ”highlight this paragraph” to edit the text. For text correcting, the user taps approximately at the area of erroneous text fragment and dictates the new content for substitution or insertion. VT combines touch and voice inputs with language context such as language model and phrase similarity to infer a user’s editing intention, which can handle ambiguities and noisy input signals. It is a great advantage over the existing error correction methods (e.g., iOS’s Voice Control) which require precise cursor control or text selection. Our evaluation shows that VT significantly improves the efficiency of text editing and text correcting on smartphones over the touch-only method and the iOS’s Voice Control method. Our user studies showed that VT reduced the text editing time by 30.80%, and text correcting time by 29.97% over the touch-only method. VT reduced the text editing time by 30.81%, and text correcting time by 47.96% over the iOS’s Voice Control method.

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https://dl.acm.org/doi/10.1145/3659584
Taieb-Maimon MRomanovskii-Chernik L(2024)Improving Error Correction and Text Editing Using Voice and Mouse Multimodal InterfaceInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2352932(1-24)Online publication date: 22-May-2024
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1. Human-centered computing
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cover image ACM Conferences

UIST '21: The 34th Annual ACM Symposium on User Interface Software and Technology

October 2021

1357 pages

ISBN:9781450386357

DOI:10.1145/3472749

Editors:
Jeffrey Nichols
Apple, USA
,
Ranjitha Kumar
UIUC, USA
,
Michael Nebeling
University of Michigan, USA

Copyright © 2021 Owner/Author.

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike International 4.0 License.

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Published: 12 October 2021

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Cited By

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https://dl.acm.org/doi/10.1145/3659584
Taieb-Maimon MRomanovskii-Chernik L(2024)Improving Error Correction and Text Editing Using Voice and Mouse Multimodal InterfaceInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2352932(1-24)Online publication date: 22-May-2024
https://doi.org/10.1080/10447318.2024.2352932
Rakhmetulla GRen YArif A(2023)GeShort: One-Handed Mobile Text Editing and Formatting with Gestural Shortcuts and a Floating ClipboardProceedings of the ACM on Human-Computer Interaction10.1145/36042597:MHCI(1-23)Online publication date: 13-Sep-2023
https://dl.acm.org/doi/10.1145/3604259
Faisandaz GGoguey AJouffrais CNigay L(2023)µGeT: Multimodal eyes-free text selection technique combining touch interaction and microgesturesProceedings of the 25th International Conference on Multimodal Interaction10.1145/3577190.3614131(594-603)Online publication date: 9-Oct-2023
https://dl.acm.org/doi/10.1145/3577190.3614131
Pan LYu CHe ZShi Y(2023)A Human-Computer Collaborative Editing Tool for Conceptual DiagramsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580676(1-29)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3580676
Cha MJi Y(2023)Context Matters: Understanding the Effect of Usage Contexts on Users’ Modality Selection in Multimodal SystemsInternational Journal of Human–Computer Interaction10.1080/10447318.2023.225060640:20(6287-6302)Online publication date: 29-Aug-2023
https://doi.org/10.1080/10447318.2023.2250606
De Rosa MFuccella VCostagliola GAlbanese MGalasso FGalasso L(2023)Arrow2edit: A Technique for Editing Text on SmartphonesHuman-Computer Interaction10.1007/978-3-031-35596-7_27(416-432)Online publication date: 23-Jul-2023
https://dl.acm.org/doi/10.1007/978-3-031-35596-7_27

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