Automatically determine and adjust settings

This feature automatically determines the user’s needs while he/she operates the product. This will be especially useful for setting things like keyboard bounce time and mouse movement speed, which otherwise require a guess-and-check trial to set correctly.

Discussion by Disabilities (Benefits & Preferred Behaviors)

Physical Disabilities

Automatically learning user needs makes it easy for people with physical disabilities to find the best features for their conditions. Instead of guessing and checking with innumerable options, they can find an optimal solution simply based on their interaction with the system.

Related Research and Papers

Learn more about physical disabilities.

Screenshot of the demo of Floe Learner Options

Learner Needs and Preferences

Each individual learns in a unique way. The Learner Needs and Preferences guide in the Inclusive Learning Design Handbook covers content malleability and provides resources to applying personalization principles to your own content.

The Open Author accessibility metadata sidebar, showing icons indicating the accessibility features and alternatives in the content

Access4all Metadata

AccessForAll metadata provides an interoperable framework for providing information about  the accommodations a resource provides. This is particularly useful for matching resources to a user's needs and preferences. The AccessForAll Metadata guide in the Inclusive Learning Design Handbook provides a case study for how an authoring tool may generate metadata automatically.

IRE Runtime Environment

The main goal of the Runtime Environment Prototype, is to achieve a scalable and extensible integration of the three platforms (AsTeRICS ARE, URC, MyUI) in order to produce a multiplatform environment which will "harvest“ the benefits of each platform. To fully understand the added value of the resulting solution, a basic knowledge of each platform is required. A brief description of AsTeRICS, URC and MyUI can be found below:

Adaptive Web Components

Adaptive Web Components (AWC) builds upon Web Components to build reusable adaptive user interface widgets for the web. In addition to the component-based software engineering approach brought into web development by Web Components, AWC introduces the ability to consider users' needs and preferences to improve their individual accessibility, usability and user experience.

Awards for making any AT or mainstream product GPII compatible.

Infusion Preferences Framework

The Infusion Preferences Framework offers a reusable set of schemas, programming APIs, and UI building blocks specific to the creation, persistence, and integration of preference editors into a variety of web-based applications, content management systems, and delivery environments.