11 results about "Screen reader" patented technology

In some implementations, a browser extension may receive a setting indicating a level of verbosity and may receive an image and a set of words associated with the image. The browser extension may identify a foreground of the image and a background of the image and may identify, within the foreground of the image, a set of objects. The browser extension may rank the set of objects based on one or more properties of the set of objects and the set of words and may select a subset of objects from the set of objects based on the setting and the ranking. Accordingly, the browser extension may generate descriptions of the selected subset of objects based on the setting and may input the generated descriptions to a text to speech algorithm.

A screen reader application traverses each node in a document object model (DOM) for the text stylization. Properties for foreground color, background color, font type, font size and font stylization are algorithmically reduced to an identifier. Each node in the DOM with the same identifier has the same text stylization. Unique and infrequent text stylizations by a webpage author signal a point of interest. The screen reader application locates and navigates to that node in the DOM on behalf or in response to the end user. Points of interest are further identified by a number of additional factors. A first includes percentage of text of having the text stylization versus total text in the DOM. A second includes excluding candidate point of interest nodes having more than 250 characters. Others include imposing minimum font sizes and text contrast ratios to qualify as a point of interest.

In some implementations, a browser extension may receive a setting indicating a level of verbosity and may receive an image and a set of words associated with the image. The browser extension may identify a foreground of the image and a background of the image and may identify, within the foreground of the image, a set of objects. The browser extension may rank the set of objects based on one or more properties of the set of objects and the set of words and may select a subset of objects from the set of objects based on the setting and the ranking. Accordingly, the browser extension may generate descriptions of the selected subset of objects based on the setting and may input the generated descriptions to a text to speech algorithm.

Techniques for accessibility-enabled application switching are provided. In an example method, a processing device receives a status indication of a screen reader browsing content using a first application. The processing device receives a context switch indication from the screen reader, including a designation of a second application as a target application based on context switch accessibility code. The processing device generates a token comprising a client device identifier and identifiers of the source and target applications. The processing device then receives a status indication of the screen reader browsing content using the second application and a second context switch indication. The processing device accesses the token based on the client device identifier and determines the source application. The processing device updates the identifiers of the source and target applications. The processing device then receives a status indication of the screen reader browsing the content using the first application.

The application discloses an automatic generation method for barrier-free description of Android application icons. The Android application package is taken as the input, and the Android application package embedded with barrier-free description is taken as the output. When the user starts the barrier-free service, the operating system will use its built-in screen reader to read the barrier-free description of the icon in the application page, thereby helping the user to understand the current page content. The application first automatically explores the key page screenshots and document object models in the Android application as the context, and then requires the large model to generate the corresponding barrier-free description for the icon components in the page based on the questioning method of the thinking chain and write it into the Android application package to achieve the purpose of automatically generating the barrier-free description of the icons. The method provided by the application is effective and efficient, and can generate accurate barrier-free description for the icon components in the Android software at a relatively fast speed.

The techniques disclosed herein enable systems to translate three-dimensional experiences into user accessible experiences to improve accessibility for users with disabilities. This is accomplished by extracting components from a three-dimensional environment such as user avatars and furniture. The components are organized into component groups based on shared attributes. The component groups are subsequently organized into a flow hierarchy. The flow hierarchy is then presented to the user in an accessibility environment that enables interoperability with various accessibility tools such as screen readers, simplified keyboard inputs, and the like. Selecting a component group, and subsequently, a component through the accessibility environment accordingly invokes functionality within the three-dimensional environment. In this way, users with disabilities are empowered to fully interact with three-dimensional experiences.

In some implementations, a user device may receive a set of words, for conversion to speech, including a plurality of subsets of the set of words, where each subset of the plurality of subsets is associated with one or more corresponding formatting properties. The user device may identify, within the set of words, a first subset of the plurality of subsets as relevant based on the one or more corresponding formatting properties associated with the first subset. Additionally, the user device may identify, within the set of words, a second subset of the plurality of subsets as not relevant based on the one or more corresponding formatting properties associated with the second subset. Accordingly, the user device may input the first subset to a text-to-speech algorithm.

A method, system and computer program product for automated screen reader customization is described. The method includes decomposing a screen composition into readable elements and exporting the readable elements to a list. One or more objects in the screen composition are associated with one or more readable elements in the list. A screen reader application is forced to read from the list for the one or more associated objects in the screen composition when the one or more associated objects appear in the screen composition.

Implementations are described herein for hierarchical interfaces for screen reader users (SRUs). In various implementations, a first subtree of leaf nodes of a hierarchical data structure may be populated with content extracted or otherwise derived from digital content item(s), which may or may not be responsive to a search query. Generative model(s) may be used to process the content of the first subtree of leaf nodes to generate a first summary of the content used to populate the first subtree of leaf nodes. A first branch node above the subtree of leaf nodes may be populated with the first summary. The generative model(s) may be used to process first summary and a second summary to generate second tier output that includes a third summary of the first and second summaries. A screen reader interface may be provided and may be operable to facilitate navigation of the hierarchical data structure.

Implementations are described herein for hierarchical interfaces for screen reader users (SRUs). In various implementations, a first subtree of leaf nodes of a hierarchical data structure may be populated with content extracted or otherwise derived from digital content item(s), which may or may not be responsive to a search query. Generative model(s) may be used to process the content of the first subtree of leaf nodes to generate a first summary of the content used to populate the first subtree of leaf nodes. A first branch node above the subtree of leaf nodes may be populated with the first summary. The generative model(s) may be used to process first summary and a second summary to generate second tier output that includes a third summary of the first and second summaries. A screen reader interface may be provided and may be operable to facilitate navigation of the hierarchical data structure.