Abstract: Systems and methods related to intelligent typing and responses using eye-gaze technology are disclosed herein. In some example aspects, a dwell-free typing system is provided to a user typing with eye-gaze. A prediction processor may intelligently determine the desired word or action of the user. In some aspects, the prediction processor may contain elements of a natural language processor. In other aspects, the systems and methods may allow quicker response times from applications due to application of intelligent response algorithms. For example, a user may fixate on a certain button within a web-browser, and the prediction processor may present a response to the user by selecting the button in the web-browser, thereby initiating an action. In other example aspects, each gaze location may be associated with a UI element. The gaze data and associated UI elements may be processed for intelligent predictions and suggestions.

Abstract: Techniques for providing adaptive assistive technology for assisting users with visual impairment can be used on a computing device. These techniques include displaying content to a user, capturing a series of images or video of the user using a camera, analyzing the series of images or video to determine whether the user is exhibiting behavior or characteristics indicative of visual impairment, and rendering a magnification user interface on the display configured to magnify at least a portion of the content of the display based on a determination that the user is exhibiting behavior or characteristics indicative of visual impairment. The magnification user interface may be controlled based on head and/or eye movements of the user of the computing device.

Abstract: Systems and methods disclosed herein relate to assigning dynamic eye-gaze dwell-times. Dynamic dwell-times may be tailored to the individual user. For example, a dynamic dwell-time system may be configured to receive data from the user, such as the duration of time the user takes to execute certain actions within applications (e.g., read a word suggestion before actually selecting it). The dynamic dwell-time system may also prevent users from making unintended selections by providing different dwell times for different buttons. Specifically, on a user interface, longer dwell times may be established for the critical keys (e.g., “close” program key, “send” key, word suggestions, and the like) and shorter dwell times may be established for the less critical keys (e.g., individual character keys on a virtual keyboard, spacebar, backspace, and the like).

Abstract: Techniques for providing adaptive assistive technology for assisting users with visual impairment can be used on a computing device. These techniques include displaying content to a user, capturing a series of images or video of the user using a camera, analyzing the series of images or video to determine whether the user is exhibiting behavior or characteristics indicative of visual impairment, and rendering a magnification user interface on the display configured to magnify at least a portion of the content of the display based on a determination that the user is exhibiting behavior or characteristics indicative of visual impairment. The magnification user interface may be controlled based on head and/or eye movements of the user of the computing device.

Abstract: Techniques for providing adaptive assistive technology for assisting users with visual impairment can be used on a computing device. These techniques include displaying content to a user, capturing a series of images or video of the user using a camera, analyzing the series of images or video to determine whether the user is exhibiting behavior or characteristics indicative of visual impairment, and rendering a magnification user interface on the display configured to magnify at least a portion of the content of the display based on a determination that the user is exhibiting behavior or characteristics indicative of visual impairment. The magnification user interface may be controlled based on head and/or eye movements of the user of the computing device.

Abstract: Systems and methods related to intelligent typing and responses using eye-gaze technology are disclosed herein. In some example aspects, a dwell-free typing system is provided to a user typing with eye-gaze. A prediction processor may intelligently determine the desired word or action of the user. In some aspects, the prediction processor may contain elements of a natural language processor. In other aspects, the systems and methods may allow quicker response times from applications due to application of intelligent response algorithms. For example, a user may fixate on a certain button within a web-browser, and the prediction processor may present a response to the user by selecting the button in the web-browser, thereby initiating an action. In other example aspects, each gaze location may be associated with a UI element. The gaze data and associated UI elements may be processed for intelligent predictions and suggestions.

Abstract: Systems and methods related to intelligent typing and responses using eye-gaze technology are disclosed herein. In some example aspects, a dwell-free typing system is provided to a user typing with eye-gaze. A prediction processor may intelligently determine the desired word or action of the user. In some aspects, the prediction processor may contain elements of a natural language processor. In other aspects, the systems and methods may allow quicker response times from applications due to application of intelligent response algorithms. For example, a user may fixate on a certain button within a web-browser, and the prediction processor may present a response to the user by selecting the button in the web-browser, thereby initiating an action. In other example aspects, each gaze location may be associated with a UI element. The gaze data and associated UI elements may be processed for intelligent predictions and suggestions.

Abstract: Systems and methods related to intelligent typing and responses using eye-gaze technology are disclosed herein. In some example aspects, a dwell-free typing system is provided to a user typing with eye-gaze. A prediction processor may intelligently determine the desired word or action of the user. In some aspects, the prediction processor may contain elements of a natural language processor. In other aspects, the systems and methods may allow quicker response times from applications due to application of intelligent response algorithms. For example, a user may fixate on a certain button within a web-browser, and the prediction processor may present a response to the user by selecting the button in the web-browser, thereby initiating an action. In other example aspects, each gaze location may be associated with a UI element. The gaze data and associated UI elements may be processed for intelligent predictions and suggestions.

Abstract: Systems and methods disclosed herein relate to assigning dynamic eye-gaze dwell-times. Dynamic dwell-times may be tailored to the individual user. For example, a dynamic dwell-time system may be configured to receive data from the user, such as the duration of time the user takes to execute certain actions within applications (e.g., read a word suggestion before actually selecting it). The dynamic dwell-time system may also prevent users from making unintended selections by providing different dwell times for different buttons. Specifically, on a user interface, longer dwell times may be established for the critical keys (e.g., “close” program key, “send” key, word suggestions, and the like) and shorter dwell times may be established for the less critical keys (e.g., individual character keys on a virtual keyboard, spacebar, backspace, and the like).

Abstract: Systems and methods disclosed herein relate to assigning dynamic eye-gaze dwell-times. Dynamic dwell-times may be tailored to the individual user. For example, a dynamic dwell-time system may be configured to receive data from the user, such as the duration of time the user takes to execute certain actions within applications (e.g., read a word suggestion before actually selecting it). The dynamic dwell-time system may also prevent users from making unintended selections by providing different dwell times for different buttons. Specifically, on a user interface, longer dwell times may be established for the critical keys (e.g., “close” program key, “send” key, word suggestions, and the like) and shorter dwell times may be established for the less critical keys (e.g., individual character keys on a virtual keyboard, spacebar, backspace, and the like).

Abstract: Adaptive assistance technologies can assist a user with operating a computing device. A method according to these techniques includes analyzing user interactions with the computing device, determining that the user interactions with the computing device are indicative of a user experiencing one or more issues for which adaptive assistive technologies provided by the computing device may assist the user, identifying one or more assistive technologies provided by the computing device that may address the one or more issues, modifying one or more operating parameters of the computing device using the one or more assistive technologies, and operating the computing device according to the one or more modified operating parameters.

Abstract: Techniques for providing adaptive assistive technology for assisting users with visual impairment can be used on a computing device. These techniques include displaying content to a user, capturing a series of images or video of the user using a camera, analyzing the series of images or video to determine whether the user is exhibiting behavior or characteristics indicative of visual impairment, and rendering a magnification user interface on the display configured to magnify at least a portion of the content of the display based on a determination that the user is exhibiting behavior or characteristics indicative of visual impairment. The magnification user interface may be controlled based on head and/or eye movements of the user of the computing device.

Abstract: The systems and methods described herein assist persons with the use of computers based on eye gaze, and allow such persons to control such computing systems using various eye trackers. The systems and methods described herein use eye trackers to control cursor (or some other indicator) positioning on an operating system using the gaze location reported by the eye tracker. The systems and methods described herein utilize an interaction model that allows control of a computer using eye gaze and dwell. The data from eye trackers provides a gaze location on the screen. The systems and methods described herein control a graphical user interface that is part of an operating system relative to cursor positioning and associated actions such as Left-Click, Right-Click, Double-Click, and the like. The interaction model presents appropriate user interfaces to navigate the user through applications on the computing system.

Abstract: The systems and methods described herein assist persons with the use of computers based on eye gaze, and allow such persons to control such computing systems using various eye trackers. The systems and methods described herein use eye trackers to control cursor (or some other indicator) positioning on an operating system using the gaze location reported by the eye tracker. The systems and methods described herein utilize an interaction model that allows control of a computer using eye gaze and dwell. The data from eye trackers provides a gaze location on the screen. The systems and methods described herein control a graphical user interface that is part of an operating system relative to cursor positioning and associated actions such as Left-Click, Right-Click, Double-Click, and the like. The interaction model presents appropriate user interfaces to navigate the user through applications on the computing system.

Abstract: Systems and methods disclosed herein relate to assigning dynamic eye-gaze dwell-times. Dynamic dwell-times may be tailored to the individual user. For example, a dynamic dwell-time system may be configured to receive data from the user, such as the duration of time the user takes to execute certain actions within applications (e.g., read a word suggestion before actually selecting it). The dynamic dwell-time system may also prevent users from making unintended selections by providing different dwell times for different buttons. Specifically, on a user interface, longer dwell times may be established for the critical keys (e.g., “close” program key, “send” key, word suggestions, and the like) and shorter dwell times may be established for the less critical keys (e.g., individual character keys on a virtual keyboard, spacebar, backspace, and the like).

Abstract: Systems and methods related to intelligent typing and responses using eye-gaze technology are disclosed herein. In some example aspects, a dwell-free typing system is provided to a user typing with eye-gaze. A prediction processor may intelligently determine the desired word or action of the user. In some aspects, the prediction processor may contain elements of a natural language processor. In other aspects, the systems and methods may allow quicker response times from applications due to application of intelligent response algorithms. For example, a user may fixate on a certain button within a web-browser, and the prediction processor may present a response to the user by selecting the button in the web-browser, thereby initiating an action. In other example aspects, each gaze location may be associated with a UI element. The gaze data and associated UI elements may be processed for intelligent predictions and suggestions.

Abstract: A personality-based theme may be provided. A prompt and an input indicating a personality may be received. Next, a voice font corresponding to the personality may be determined. The voice font may then be applied to the received prompt by augmenting the voice font applied prompt with recorded phrases of the personality.

Abstract: A personality-based theme may be provided. An application program may query a personality resource file for a prompt corresponding to a personality. Then the prompt may be received at a speech synthesis engine. Next, the speech synthesis engine may query a personality voice font database for a voice font corresponding to the personality. Then the speech synthesis engine may apply the voice font to the prompt. The voice font applied prompt may then be produced at an output device.

Abstract: A personality-based theme may be provided to a device. An application program may query a personality resource file for a prompt corresponding to a personality. Then the prompt may be received at a text to speech synthesis engine. Next, the speech synthesis engine may query a personality voice font and recorded phrases database for a voice font corresponding to the personality and may alter the prompt text to conform with the grammatical style of the personality. Then the speech synthesis engine may apply the voice font to the prompt, which is then produced at an output device.

Abstract: An audible indication of a user's position within a given speech grammar framework is provided for a speech-enabled software application, and recognition of speech grammars are limited to use only when a software application that has requested a given set of speech grammars is in focus by a user of an associated mobile computing device.