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  • 39th CSUN Assistive Technology Conference - March 18-22, 2024 at the Anaheim Marriott

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39th Annual CSUN Assistive Technology Conference Has Concluded

Web Accessibility for Speech Recognition Users

Date & Time
Tuesday, March 19, 2024 - 2:20 PM PDT  
Location
Orange County 3-4  
Description

People with mobility impairments use speech recognition software and have multiple options today across different operating systems. Dragon Naturally Speaking is one of the old players and still the preferred choice for many speech recognition users. Windows and Mac have built-in speech recognition, as do Android and iOS.

Keyboard support is the base for making web content accessible for speech recognition users. Apart from keyboard support, keyboard focus, logical tabbing order, descriptive labels for links, form controls, buttons, and custom controls need to be considered for making web content accessible for speech recognition users.

In this session, we’ll figure out how speech recognition supports different accessibility techniques and what coding practices we should avoid. Additionally, we’ll learn about best practices for enhancing user experiences for speech recognition users.

We shall take a deep dive to understand what label or title attribute of user interface controls takes precedence regarding speech recognition. We shall also explore the level of support for ARIA attributes and the impact of focus visibility for users.

In our exploration, we shall see how different tools perform, including Dragon, Windows Speech Recognition, Mac’s Voice Control, Voice Access on Android and Voice Control on iOS.

This Presentation Link is provided by the Presenter(s) and not hosted by the Center on Disabilities at CSUN. The Center on Disabilities has confirmed, as of April 18, 2024, content linked is relevant to the presentation, but has not been reviewed for accessibility nor will the Center on Disabilities attempt to remediate any accessibility issues in the linked content. Please contact the Presenter(s) with any accessibility concerns.

 
Audience
  • Higher Education
  • Information & Communications Technology
  • K-12 Education
  • Healthcare & Rehabilitation
  • Insurance
Audience Level
Beginning  
Session Summary (Abstract)
The session explores how speech recognition supports accessibility techniques and identifies coding practices to avoid. It also delves into best practices for improving the user experience of speech recognition users.  
Primary Topic
Mobility  
Secondary Topics
  • Design
  • Development
  • Digital Accessibility
  • Web
 
Session Type
Exhibitor Track  

Presenter

  • Shashank Kapur
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