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Acceptability of Speech and Silent Speech Input Methods in Private and Public

Authors:

Ahmed Sabbir ArifAuthors Info & Claims

CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Article No.: 251, Pages 1 - 13

https://doi.org/10.1145/3411764.3445430

Published: 07 May 2021 Publication History

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Abstract

Silent speech input converts non-acoustic features like tongue and lip movements into text. It has been demonstrated as a promising input method on mobile devices and has been explored for a variety of audiences and contexts where the acoustic signal is unavailable (e.g., people with speech disorders) or unreliable (e.g., noisy environment). Though the method shows promise, very little is known about peoples’ perceptions regarding using it. In this work, first, we conduct two user studies to explore users’ attitudes towards the method with a particular focus on social acceptance and error tolerance. Results show that people perceive silent speech as more socially acceptable than speech input and are willing to tolerate more errors with it to uphold privacy and security. We then conduct a third study to identify a suitable method for providing real-time feedback on silent speech input. Results show users find an abstract feedback method effective and significantly more private and secure than a commonly used video feedback method.

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Srivastava TWinters RGable TWang YLaScala TTashev I(2024)Whispering Wearables: Multimodal Approach to Silent Speech Recognition with Head-Worn DevicesProceedings of the 26th International Conference on Multimodal Interaction10.1145/3678957.3685720(214-223)Online publication date: 4-Nov-2024
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Index Terms

Acceptability of Speech and Silent Speech Input Methods in Private and Public
1. Hardware
  1. Communication hardware, interfaces and storage

Index terms have been assigned to the content through auto-classification.

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CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

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ISBN:9781450380966

DOI:10.1145/3411764

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Tohoku University, Japan
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University of New South Wales, Australia
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The University of Tokyo, Japan
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Cited By

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https://dl.acm.org/doi/10.1145/3678957.3685749
Srivastava TWinters RGable TWang YLaScala TTashev I(2024)Whispering Wearables: Multimodal Approach to Silent Speech Recognition with Head-Worn DevicesProceedings of the 26th International Conference on Multimodal Interaction10.1145/3678957.3685720(214-223)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3678957.3685720
Srivastava TKhanna PPan SNguyen PJain SShu YLiu JTan RHe YChen J(2024)Poster Unvoiced: Designing an Unvoiced User Interface using Earables and LLMsProceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems10.1145/3666025.3699413(871-872)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3666025.3699413
Srivastava TKhanna PPan SNguyen PJain SShu YLiu JTan RHe YChen J(2024)Unvoiced: Designing an LLM-assisted Unvoiced User Interface using EarablesProceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems10.1145/3666025.3699374(784-798)Online publication date: 4-Nov-2024
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Zhang QLan YGuo KWang D(2024)Lipwatch: Enabling Silent Speech Recognition on Smartwatches using Acoustic SensingProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36596148:2(1-29)Online publication date: 15-May-2024
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Srivastava TKhanna PPan SNguyen VJain SGanesan DLane NShi W(2024)Enabling Accessible and Ubiquitous Interaction in Next-Generation Wearables: An Unvoiced Speech ApproachProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3695908(2257-2259)Online publication date: 4-Dec-2024
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Pandey LArif A(2024)MELDER: The Design and Evaluation of a Real-time Silent Speech Recognizer for Mobile DevicesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642348(1-23)Online publication date: 11-May-2024
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Dong XChen YNishiyama YSezaki KWang YChristofferson KMariakakis A(2024)ReHEarSSE: Recognizing Hidden-in-the-Ear Silently Spelled ExpressionsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642095(1-16)Online publication date: 11-May-2024
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Maskeliūnas RDamaševičius RKulikajevas APribuišis KUloza V(2024)Alaryngeal Speech Enhancement for Noisy Environments Using a Pareto Denoising Gated LSTMJournal of Voice10.1016/j.jvoice.2024.07.016Online publication date: Aug-2024
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