SBIR/STTR Research Award

SBIR Phase I: Making Web Applications Accessible

Award identifier af817d70e10c2d1b69dc7b35180c6330cff01048dd478994032cb9f54e430d10Awarding agency National Science Foundation

Award amount

$150,000

Program and phase

SBIR · Phase I

Award year

2015

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Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
CHARMTECH LABS LLC
Proposal award date
2015-07-01
Contract end date
2015-12-31
UEI
EF8JNPHKZJ65
Solicitation number
Not reported
Topic code
IC

Research abstract

The broader impact/commercial potential of this project include the development of a novel assistive technology that will make dynamic web applications accessible for people with vision impairments. The proposed technology will empower blind people to utilize the immensely popular web applications for social networking, email, online banking, and travel with the same ease-of-use as is experienced by sighted people. The resulting higher productivity of screen-reader users will lead to improved access to education and employment. The proposed technology will be commercialized as part of a screen-reader application for people with vision impairments, a population of up to 25 Million people in the U.S. and a quarter of a million worldwide. The proposed innovation can also be utilized in mainstream technologies that enable web automation and web crawling. This Small Business Innovation Research (SBIR) Phase I project will investigate the feasibility of making widgets in dynamic web application accessible for blind people. The dynamic nature of modern day web applications has become a serious barrier for blind people who use screen readers to access the Web. Unfortunately, while screen readers can usually narrate all the individual HTML elements in a webpage, they do not recognize widgets, which are a collection of HTML elements forming discrete user interface objects with which the user can interact, e.g., HTML windows, dropdown menus, calendars, suggestion boxes, etc. Inaccessibility of widgets in a web application can make the entire web applications unusable. This project will develop the Widget Accessibility Model that will employ machine learning techniques to identify and classify dynamic widgets in web pages and supply them with generic accessible interfaces. The Model will succinctly represent an assortment of widgets, of varying degrees of complexity, as objects associated with (inheritable) properties and interaction behaviors. WAM will drive the automatic detection of widgets used in a web application and stitch together their composite behavior from their components at runtime. The resulting Model will be incorporated into a commercial screen reader.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

23 SBIR/STTR records share this UEI (2011–2025). Reported award amounts total $9,788,000. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Education, Department of Health and Human Services, National Science Foundation

Agency intelligence

National Science Foundation

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