Speech Interface: An Enhancer to the Acceptance of M-Commerce Applications

Evaluation of a Silent Speech Interface Based on Magnetic Sensing and Deep Learning for a Phonetically Rich Vocabulary

10.21437/interspeech.2017-802 ◽

2017 ◽

Cited By ~ 3

Author(s):

Jose A. Gonzalez ◽

Lam A. Cheah ◽

Phil D. Green ◽

James M. Gilbert ◽

Stephen R. Ell ◽

...

Keyword(s):

Deep Learning ◽

Magnetic Sensing ◽

Speech Interface ◽

Silent Speech

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SilentMask: Mask-type Silent Speech Interface with Measurement of Mouth Movement

Augmented Humans Conference 2021 ◽

10.1145/3458709.3458985 ◽

2021 ◽

Author(s):

Hirotaka Hiraki ◽

Jun Rekimoto

Keyword(s):

Speech Interface ◽

Mask Type ◽

Mouth Movement ◽

Silent Speech

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Design and evaluation of a speech interface for remote database searching

Journal of Information Science ◽

10.1177/016555159101700103 ◽

1991 ◽

Vol 17 (1) ◽

pp. 21-36 ◽

Cited By ~ 1

Author(s):

G. Philip ◽

B.F. Peters ◽

F.J. Smith ◽

D. Crookes ◽

T. Rafferty

Keyword(s):

Database Searching ◽

Speech Interface

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Speech interface reformulations and voice assistant personification preferences of children and parents

International Journal of Child-Computer Interaction ◽

10.1016/j.ijcci.2019.04.005 ◽

2019 ◽

Vol 21 ◽

pp. 77-88 ◽

Cited By ~ 4

Author(s):

Ye Yuan ◽

Stryker Thompson ◽

Kathleen Watson ◽

Alice Chase ◽

Ashwin Senthilkumar ◽

...

Keyword(s):

Speech Interface ◽

Children And Parents

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The State of Speech in HCI: Trends, Themes and Challenges

Interacting with Computers ◽

10.1093/iwc/iwz016 ◽

2019 ◽

Vol 31 (4) ◽

pp. 349-371 ◽

Cited By ~ 18

Author(s):

Leigh Clark ◽

Philip Doyle ◽

Diego Garaialde ◽

Emer Gilmartin ◽

Stephan Schlögl ◽

...

Keyword(s):

Speech Production ◽

Thematic Analysis ◽

Design Work ◽

Wizard Of Oz ◽

Speech Interfaces ◽

Interface Interaction ◽

Multiple User ◽

Speech Interface ◽

User Attitudes ◽

In The Wild

AbstractSpeech interfaces are growing in popularity. Through a review of 99 research papers this work maps the trends, themes, findings and methods of empirical research on speech interfaces in the field of human–computer interaction (HCI). We find that studies are usability/theory-focused or explore wider system experiences, evaluating Wizard of Oz, prototypes or developed systems. Measuring task and interaction was common, as was using self-report questionnaires to measure concepts like usability and user attitudes. A thematic analysis of the research found that speech HCI work focuses on nine key topics: system speech production, design insight, modality comparison, experiences with interactive voice response systems, assistive technology and accessibility, user speech production, using speech technology for development, peoples’ experiences with intelligent personal assistants and how user memory affects speech interface interaction. From these insights we identify gaps and challenges in speech research, notably taking into account technological advancements, the need to develop theories of speech interface interaction, grow critical mass in this domain, increase design work and expand research from single to multiple user interaction contexts so as to reflect current use contexts. We also highlight the need to improve measure reliability, validity and consistency, in the wild deployment and reduce barriers to building fully functional speech interfaces for research.RESEARCH HIGHLIGHTSMost papers focused on usability/theory-based or wider system experience research with a focus on Wizard of Oz and developed systems Questionnaires on usability and user attitudes often used but few were reliable or validated Thematic analysis showed nine primary research topics Challenges identified in theoretical approaches and design guidelines, engaging with technological advances, multiple user and in the wild contexts, critical research mass and barriers to building speech interfaces

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Talk your way round--a speech interface to a virtual museum

Disability and Rehabilitation ◽

10.1080/09638280110111379 ◽

2002 ◽

Vol 24 (11-12) ◽

pp. 607-612

Author(s):

L. Evett ◽

Y. K. Tan

Keyword(s):

Virtual Museum ◽

Speech Interface

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The Design and Evaluation of a Speech Interface for Generation of Air Tasking Orders

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/154193120004402266 ◽

2000 ◽

Vol 44 (22) ◽

pp. 750-753 ◽

Cited By ~ 1

Author(s):

David T. Williamson ◽

Timothy P. Barry

Keyword(s):

Speech Recognition ◽

Planning Process ◽

Data Entry ◽

Command And Control ◽

Error Rates ◽

Subject Matter Experts ◽

Speech Interface ◽

System Selection ◽

And Control ◽

Operations Center

This paper discusses the design, implementation, and evaluation of a prototype speech recognition interface to the Theater Air Planning (TAP) module of Theater Battle Management Core Systems (TBMCS). This effort was in support of a Kenney Battlelab Initiative proposal submitted to the Command and Control Battlelab at Hurlburt Field, FL to assess the operational benefits of speech recognition for data entry applications in a Joint Air Operations Center environment. Several factors contributing to the design of the “TAPTalk” speech interface included interviews with subject matter experts, speech system selection, grammar development, and integration into TAP, which required only minor modification of existing software. Results from the two week operational assessment with sixteen subjects from the Command and Control Training and Innovation Group, numbered Air Forces, Navy, and Marine Corp indicated that the Theater Air Planning process could be accomplished significantly faster with no increase in error rates. Subjectively, the sixteen planners unanimously agreed that the TAPTalk speech interface was a valuable addition to TAP and would recommend its inclusion in a future upgrade. Recommendations for further improving the TAPTalk system are discussed.

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